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IBM Planning Analytics (TM1) Support Engineer

Overview

PepsiCo is embarked on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate "vertical" planning for Business Units (BUs) or markets, and "horizontal" planning for functions (e.g., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo organization.

The Sustain Team for MOSAIC Solution is responsible for the delivery of high-quality break fixes and keep stability for the Mosaic markets which are live. Also, to ensure zero minimum critical incident from Production, coordinate and minimize the downtimes of Prod and non-Prod environments.

The overall solution should be managed closely with our Business Support (Center of Excellence), various business teams (product owners and market teams) and other application support teams. The role will interact directly on the design/development of incident break fixes and maintenance of the solution and will have to work closely with the various detail design & development teams. This role will require a strong background in technical solutions which are part of Mosaic architecture such as TM1, Alteryx, Data Lake.

Responsibilities

The candidate needs to have a high degree of initiative to work independently and get things done in a complex matrix organization.

Key Accountabilities Includes following for Mosaic Solution:

Handle Incidents for Mosaic solution and strive for resolution of incidents within SLA.
Subject matter expert (SME), responsible for resolving incidents and for continuous communication about incident status.
Act as a resolver and communicate with the customer as required.
Member of a technical, operations and application management team.
Monitor the team's tickets queue for his service, self-assign tickets to him or directly work on tickets assigned by the Service Controller.
Responsible for forwarding tickets that require a change to the Service Controller and manage the Change Management process for break fixes implementation.
Handle tickets escalations to the Service Controller.

Qualifications

University education (BS /BA level) or equivalent work experience
4+ years of experience in TM1 Cognos Planning Analytics
6+ years of Information Technology or business experience

Technical Skills

IBM Planning Analytics Modeler
IBM Planning Analytics Turbo-Integrator
IBM Planning Analytics Rules and Feeders
IBM Planning Analytics Dimensions and Cubes
IBM Planning Analytics Excel PAfE
SQL, MySQL
ODBC driver
SAP exposure
Service Now, Jira or other ticketing tools

PepsiCo

Today

Sr Manager - MIS & Data Analytics

Position Overview

The MIS & Data Analytics Manager will be responsible for leading organizational reporting, data management, and analytics initiatives. The role combines strong MIS competencies with advanced analytical capabilities to support strategic decision-making. This includes developing dashboards, automating reports, analyzing trends, and establishing governance over data processes. Knowledge of Oracle systems is preferred.

Key Responsibilities

MIS Reporting & Dashboard Management

Lead the creation and distribution of all daily/weekly/monthly MIS reports across business functions.
Build and maintain dashboards that track KPIs such as productivity, financial performance, operational efficiency, and manpower metrics.
Establish reporting calendars, templates, and quality checks to ensure accuracy and consistency.
Collaborate with leadership to refine report formats and improve data storytelling.

Data Analytics & Insights

Analyze complex datasets to identify trends, patterns, and business opportunities.
Develop predictive models, performance insights, and scenario analyses to support strategic planning.
Conduct root-cause analysis on operational challenges and recommend data-driven actions.
Translate analytical findings into clear, actionable business recommendations.

Automation & System Enhancement

Drive automation of manual reporting processes using Excel (advanced), SQL, Power BI/Tableau, and other tools.
Develop data models and ETL processes to streamline reporting workflows.
Utilize Oracle ERP/HRMS/Fusion for data extraction, validation, and automated reporting (preferred).
Work with IT/BI teams to enhance data warehouse structures, reporting tools, and system integrations.

Data Governance & Quality Control

Implement data governance frameworks to maintain data accuracy, completeness, and integrity across systems.
Define data dictionaries, SOPs, and audit trails for all MIS and analytics functions.
Ensure secure handling of confidential operational and employee data.
Support internal/external audits with accurate MIS datasets.

Stakeholder Collaboration

Partner with Operations, HR, Finance, and Business Leaders to understand reporting and analytics needs.
Present insights, dashboards, and recommendations to senior management in a clear, concise manner.
Act as a strategic advisor for business planning, forecasting, and performance measurement.

Team Management & Capability Building

Lead and mentor a team of MIS and data analysts.
Allocate tasks, review output quality, and ensure adherence to SLAs.
Build capability in advanced analytics, BI tools, and reporting automation within the team.

Qualification & Experience

Graduate/Postgraduate in Data Analytics, Statistics, Commerce, Computer Science, Engineering, or related fields.
8-10 years of experience in MIS, Data Analytics, or Business Intelligence roles, including 2-4 years in a managerial capacity.
Experience in data-heavy industries (BPO, Shared Services, BFSI, IT, E-commerce, Manufacturing) preferred.

Key Attributes

High attention to detail and accuracy.
Strong problem-solving approach and analytical curiosity.
Ability to simplify complex data into actionable insights.
Process-oriented with a continuous improvement mindset.
High integrity when working with sensitive business data.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, colour, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

IGT Solutions

Today

Subject Matter Expert Data Analytics/Scientist

A little bit about us

Founded in 2016, Coding Ninjas is one of the largest online coding EdTech companies in India. Imparting knowledge is of utmost importance to us and it is our mission to bridge the skill gap between colleges and industry. We teach 50,000+ students annually through our online platform with an aim to help college students and working professionals upskill themselves for rewarding employment prospects.

Coding Ninjas was founded by Ankush Singla, Kannu Mittal and Dhawal Parate, dawning from an educational background of IITs and Stanford who bring onboard their rich working experience in companies like Amazon, Facebook, Cars24, and other top startups in India. As pioneers in EdTech, we are continuously working on curating student-centric learning programs and are progressing towards becoming the de facto coding education company in India.

The company has raised more than 22 Million USD till date and is a subsidiary of InfoEdge ( IIMJobs, Jeevansathi,etc.) with the latter, acquiring a majority stake in Coding Ninjas.

With our exhaustive learning programs, 1:1 mentor support for effective doubt resolution and over 400+ doubts being resolved per hour, our focus lies on crafting learning experiences that equip candidates with learning, application and demonstration of capabilities in the software development domain.

Job Description

We are seeking an experienced Data Analytics Mentor to lead and guide learners in our contract-based Data Analytics Online Masterclass. The ideal candidate has strong analytical expertise, hands-on experience with industry-standard tools, and the ability to simplify concepts for learners at different levels.

Responsibilities

Conduct live, interactive masterclass online sessions on Data Analytics.
Mentor learners on real-world applications, frameworks, and tools.
Teach core concepts such as data cleaning, exploratory analysis, visualization, dashboards, and data storytelling.
Guide learners in using tools like Excel, SQL, Power BI, Tableau, Python (Pandas), and other analytics platforms.
Assess learner understanding and update content based on insights.
Ensure engaging, easy-to-understand explanations suitable for all levels.

Requirements

Strong hands-on experience in Data Analytics and BI tools.
Expertise in Excel, SQL, Power BI, and Python, along with AI-enabled analytics
Ability to explain analytical concepts in simple, practical language.
Excellent communication, public speaking, and presentation skills.
Ability to confidently handle and engage a live audience.
Prior teaching, mentoring, or training experience is preferred.
Availability as per the contract schedule.

Preferred Background

Working Professionals from MAANG, top tech startups, data-driven companies, analytics teams, AI startups, and unicorns across industries are preferred.

Contract Details

Duration: Based on the masterclass timeline.
Compensation: Per session .
Mode: Online - Live Sessions.

Coding Ninjas

Today

Senior General Manager IT - AI, RPA, Data Science and Data Analytics

POSITION DETAILS:

Designation: Senior GM/Vice President IT - AI, RPA, Data Science & Data Analytics

Business Unit: Corporate

Function: IT

Location: Mumbai (HO)

Reporting to: Executive Vice President - Information Technology

ROLE OVERVIEW/ PURPOSE:

To Architect, Implement, Enhance and Monitor AI / ML/ RPA Automation IT Corporate level across functions/ domains - R&D, Regulatory, Manufacturing, Quality, Sales, Procurement, Supply chain, Warehousing, HR, Legal, Finance, Corporate Communications, Data-warehousing and Analytics - Projects and Support in line with Organizational requirements and directives. To deliver end-to-end solution right from inception of idea till deployment and then Business as usual (BAU) support from Technology perspective.

The roles played: Some of the key roles that this position is expected to play:

Drive enterprise-wide digital transformation through Artificial Intelligence (AI), Robotic Process Automation (RPA), Data Science, and Data Analytics.

Lead initiatives aligned with strategic business goals, leveraging AI/ML, advanced analytics & intelligent automation to improve Product Lifecycle, Operations, R&D, Regulatory, Manufacturing, Quality, Sales, Supply chain, and Financial excellence

Key Interfacing Applications:

SAP ECC and SAP S/4 HANA

LIMS - Labware

Trackwise - QMS

eCTD ( Extedo) - Electronic submissions

OC/RDC - Oracle (CTMS)

eBMR, Manufacturing Execution Systems (MES) - Werum

L2 automation

PLC Upgrades, CSV

Track and Trace

Artwork Management - Global Vision

Robotic Process Automation / Artificial Intelligence

Dashboards-Tableau, PowerBI

Supply Chain, Scheduling, Supply Planning, Manufacturing Optimization

Waters - Empower Systems in Quality Labs

RA systems integration into Ops and Quality

Microsoft Fabric as a Data Lake on top of M365 - Email, One Drive, Teams and SharePoint + Microsoft Co-Pilot go forward

SAP - SAC - Analytics Cloud - SAP S/4 HANA

OVERALL JOB RESPONSIBILITIES:

Responsibilities:

Strategy & Roadmap

AI/ML & Data Science Management

Robotic Process Automation (RPA) Implementation

Project Management & Governance

Infrastructure, Cloud, and Integration Oversight

Training awareness, User / Stakeholder Adoption & Documentation

A. Strategy & Roadmap

• Define and execute the digital technology roadmap focusing on AI, RPA, and advanced analytics.

• Collaborate with business leaders, and global teams to identify key automation and analytics use cases.

• Evaluate emerging technologies for applicability in pharma operations (AI in Manufacturing, Quality, R&D, Regulatory, Supply Chain, Sales, Finance, Legal etc.)

• Conduct daily team stand-ups with IT internal teams (Developer, Infra team)

• Review Open task items for Project milestones / Support to ensure closure of same

• Monitor deliverables across AI model development, RPA bot creation etc.

• Review alignment of AI/RPA projects with business priorities and update executive sponsors.

B. AI/ML & Data Science Management

• Identify and manage projects involving machine learning, predictive modelling, NLP, Generative AI, etc.

• Collaborate with domain experts (R&D, Manufacturing, Quality, Regulatory, Sales, Supply Chain, Legal) to build and validate models.

• Supervise Machine Learning Operations lifecycle: data collection, model training, evaluation, deployment, monitoring.

• Develop AI applications / address use cases in R&D, Regulatory, Supply Chain, Manufacturing, Quality, Sales, Finance, Legal for process optimization, etc.

• Review model training/testing status from data science team.

• Oversee the pipeline for data ingestion, feature engineering, and versioning.

• Evaluate preliminary results from AI/ML models - accuracy, bias metrics.

• Provide direction on model fine-tuning, regulatory suitability.

• Collaborate with domain experts (R&D, Regulatory, QA, Supply Chain, Finance, Legal etc.) for training data validation and accuracy.

C. Robotic Process Automation (RPA) Implementation

• Identify and evaluate RPA opportunities in manufacturing, finance, HR, procurement, QA/QC

• Oversee RPA implementation life cycle: process assessment, bot development, testing, deployment, monitoring.

• Lead teams using tools like UiPath, Microsoft Power Automate

• Implement intelligent automation (IA) by combining RPA with OCR, AI, NLP

• Review RPA pipeline: Identify new automation candidates, prioritize based on Business priority / ROI.

• Monitor daily performance of deployed bots (transaction logs, exception reports).

• Approve process design documents (PDDs) and solution design documents (SDDs).

OVERALL JOB RESPONSIBILITIES

• Address any production failures or exceptions in bot execution with development teams.

D. Project Management & Governance

• Manage cross-functional teams (Data engineers, Data scientists, RPA developers).

• Define KPIs, resource plans, budgets, and timelines for digital initiatives.

• Manage vendor relationships and SLAs.

E. Infrastructure, Cloud, and Integration Oversight

• Design and maintain scalable architecture for AI on Glenmark Azure Private cloud

• Integrate digital tools with SAP ECC, SAP S/4 HANA, eBMR, LIMS, eCTD, Trackwise, IT Security SIEM systems.

• Ensure high availability, fault tolerance, and disaster recovery for AI infrastructure platforms.

• Check daily system health status of cloud-hosted models

• Ensure backups, DR protocols, and Log retention are operating correctly

F. Training awareness, User / Stakeholder Adoption & Documentation

• Training awareness sessions, user / stakeholder adoption

• Ensure proper documentation of all activities (service / projects) are maintained.

• Perform system validation activities, including creating and executing test scripts, generating validation documentation, and ensuring compliance with regulatory requirements (such as FDA 21 CFR Part 11/MHRA/EU Annex 11) as applicable for R&D, Regulatory, Manufacturing / Quality area

KEY RELATIONSHIPS/STAKEHOLDERS:

External

Principals/OEMS, Implementation Partners, Consultants, Vendors, Certification bodies and External auditors / agencies

Internal (other than Direct Reports)

Vice President IT, Sr. General Manager Information Technology, Business Heads (Domestic as well as Global locations), Functional and Departmental heads, All subordinates in concerned areas and span of control

DESIRED EXPERIENCE AND KNOWLEDGE

Educational Qualifications

Bachelor's in Engineering / Computer Science / IT

Master's degree (MBA, M.Tech, or MS in Data Science / AI) preferred.

Experience

12-15 years of progressive experience in IT, with at least 3 - 5 years in leadership roles in any Industry vertical

Proven experience leading AI, RPA, and data analytics transformation at scale

Knowledge and Skills (Functional / Technical)

Strong grasp of Data science tools, Statistical modelling, and AI/ML frameworks

Expertise in RPA tools and automation architecture.

Experience with cloud-native analytics and data engineering platforms.

Proven Integration experience and supporting IT systems across any Industry vertical

Knowledge of system validation methodologies

Familiarity with data integrity and data governance principles specific to pharmaceutical manufacturing and quality.

Vendor management

Proficiency in IT infrastructure, networking, and security principles within a manufacturing environment.

Behavioural Attributes

Communication and interpersonal skills

Problem solving and analytical thinking

Flexible & Adaptive to different working environments

Project and team management skills

Innovative approach

Glenmark Pharmaceuticals

Today

Data Analytics/Data Science Trainer - Kolkata

Job Title: Data Analytics/Data Science Trainer

Organization: SkillCircle

Location: Kolkata

Employment Type: Fulltime/Part time/Freelancer

Job Summary:

SkillCircle is looking for a passionate and knowledgeable Data Analytics/Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels.

Required Skills:

Proficiency in Python, Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn,
Tableau and Power BI.
Knowledge of Machine Learning algorithms and their real-world
applications.
Understanding of statistics, data preprocessing, and EDA.
Excellent communication and presentation skills.
Ability to engage and inspire students from non-technical backgrounds.

Eligibility Criteria:

Bachelor's degree in Computer Science, Data Science, Engineering, or a
related field.
2-5 years of experience in teaching/training or industry experience in data
science roles.
Prior experience as a trainer or mentor is a plus.
Certifications in Data Science or Machine Learning (preferred but not mandatory).

Perks and Benefits:

Flexible working hours
Exposure to a large network of learners and tech professionals.
Opportunity to work on live projects and build personal brands through content/webinars.

SkillCircle

Today

Senior Manager Analytics

Analytics - Senior Manager

"Looking for Immediate Joiners only."

Experience: 4-8 Years

Position Summary

We are looking for Senior Manager, Analytics with strong analytical and logical thinking. Candidate should oversee and develop analytics service offering and develop, execute and optimize strategies. This role may include direct management of team member(s) and oversee team deliverables. This is an exceptional opportunity to build your career and work with some of the largest brands in an amazing agency environment.

Key Responsibilities

Guide the team members, typically comprising first-line managers and supervisors
Ensuring clarity around priorities and goals for the entire functional area
Develop business opportunities
Working across functions with peers in other groups to ensure collaboration for shared goals
Working with senior management and other peers for strategy development and execution planning
Monitor performance, conduct the evaluation and take corrective actions when necessary
Create goals for the broader function and work with managers to ensure the goals cascade to all workers
Prepare industry level/research reports which benefit client and organization
Design user-flow strategies and recommend changes for optimal consumer experience
Ability to analyze and create holistic dashboards/reports by pulling data from different data sources and present to senior clients
Design and build dashboards and other visualizations using data visualization tools like Tableau

SKILLS

Hands-on experience with tools like Google Analytics, Google Tag Manager, Adobe Analytics and Dynamic Tag Manager
Proficient in Data visualization tools like PowerBi, Tableau and Data Studio
Strong command of the language with the ability to communicate persuasively and effectively
Ability to lead through influence rather than direct authority
Ability to work productively, always projecting a positive outlook in a fast-paced, deadline-driven environment
Strong technical skills & knowledge for Listening, Website & Social Media Analytics
Experience at handling a team, mentoring and guiding them
Hands-on experience with providing measurable solutions to the portfolio of client
Basic understanding of HTML, PHP, Javascript

QUALIFICATIONS:

Graduate/Post Graduate in any stream
Certified In Google Analytics and Tag Manager
Additional Courses in relevant streams i.e. Website Analytics, Digital Marketing, Data Analytics, etc. are preferred

WHAT YOU CAN EXPECT FROM INTERACTIVE AVENUES

Interactive Avenue's vision is to make advertising more insightful to the brands. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Interactive Avenues employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

Interactive Avenues

Today

Sr Manager - MIS & Data Analytics

Position Overview

Key Responsibilities

MIS Reporting & Dashboard Management

Lead the creation and distribution of all daily/weekly/monthly MIS reports across business functions.
Build and maintain dashboards that track KPIs such as productivity, financial performance, operational efficiency, and manpower metrics.
Establish reporting calendars, templates, and quality checks to ensure accuracy and consistency.
Collaborate with leadership to refine report formats and improve data storytelling.

Data Analytics & Insights

Analyze complex datasets to identify trends, patterns, and business opportunities.
Develop predictive models, performance insights, and scenario analyses to support strategic planning.
Conduct root-cause analysis on operational challenges and recommend data-driven actions.
Translate analytical findings into clear, actionable business recommendations.

Automation & System Enhancement

Drive automation of manual reporting processes using Excel (advanced), SQL, Power BI/Tableau, and other tools.
Develop data models and ETL processes to streamline reporting workflows.
Utilize Oracle ERP/HRMS/Fusion for data extraction, validation, and automated reporting (preferred).
Work with IT/BI teams to enhance data warehouse structures, reporting tools, and system integrations.

Data Governance & Quality Control

Implement data governance frameworks to maintain data accuracy, completeness, and integrity across systems.
Define data dictionaries, SOPs, and audit trails for all MIS and analytics functions.
Ensure secure handling of confidential operational and employee data.
Support internal/external audits with accurate MIS datasets.

Stakeholder Collaboration

Partner with Operations, HR, Finance, and Business Leaders to understand reporting and analytics needs.
Present insights, dashboards, and recommendations to senior management in a clear, concise manner.
Act as a strategic advisor for business planning, forecasting, and performance measurement.

Team Management & Capability Building

Lead and mentor a team of MIS and data analysts.
Allocate tasks, review output quality, and ensure adherence to SLAs.
Build capability in advanced analytics, BI tools, and reporting automation within the team.

Qualification & Experience

Graduate/Postgraduate in Data Analytics, Statistics, Commerce, Computer Science, Engineering, or related fields.
8-10 years of experience in MIS, Data Analytics, or Business Intelligence roles, including 2-4 years in a managerial capacity.
Experience in data-heavy industries (BPO, Shared Services, BFSI, IT, E-commerce, Manufacturing) preferred.

Key Attributes

High attention to detail and accuracy.
Strong problem-solving approach and analytical curiosity.
Ability to simplify complex data into actionable insights.
Process-oriented with a continuous improvement mindset.
High integrity when working with sensitive business data.

IGT Solutions

Today

Sr Manager - MIS & Data Analytics

Position Overview

Key Responsibilities

MIS Reporting & Dashboard Management

Lead the creation and distribution of all daily/weekly/monthly MIS reports across business functions.
Build and maintain dashboards that track KPIs such as productivity, financial performance, operational efficiency, and manpower metrics.
Establish reporting calendars, templates, and quality checks to ensure accuracy and consistency.
Collaborate with leadership to refine report formats and improve data storytelling.

Data Analytics & Insights

Analyze complex datasets to identify trends, patterns, and business opportunities.
Develop predictive models, performance insights, and scenario analyses to support strategic planning.
Conduct root-cause analysis on operational challenges and recommend data-driven actions.
Translate analytical findings into clear, actionable business recommendations.

Automation & System Enhancement

Drive automation of manual reporting processes using Excel (advanced), SQL, Power BI/Tableau, and other tools.
Develop data models and ETL processes to streamline reporting workflows.
Utilize Oracle ERP/HRMS/Fusion for data extraction, validation, and automated reporting (preferred).
Work with IT/BI teams to enhance data warehouse structures, reporting tools, and system integrations.

Data Governance & Quality Control

Implement data governance frameworks to maintain data accuracy, completeness, and integrity across systems.
Define data dictionaries, SOPs, and audit trails for all MIS and analytics functions.
Ensure secure handling of confidential operational and employee data.
Support internal/external audits with accurate MIS datasets.

Stakeholder Collaboration

Partner with Operations, HR, Finance, and Business Leaders to understand reporting and analytics needs.
Present insights, dashboards, and recommendations to senior management in a clear, concise manner.
Act as a strategic advisor for business planning, forecasting, and performance measurement.

Team Management & Capability Building

Lead and mentor a team of MIS and data analysts.
Allocate tasks, review output quality, and ensure adherence to SLAs.
Build capability in advanced analytics, BI tools, and reporting automation within the team.

Qualification & Experience

Graduate/Postgraduate in Data Analytics, Statistics, Commerce, Computer Science, Engineering, or related fields.
8-10 years of experience in MIS, Data Analytics, or Business Intelligence roles, including 2-4 years in a managerial capacity.
Experience in data-heavy industries (BPO, Shared Services, BFSI, IT, E-commerce, Manufacturing) preferred.

Key Attributes

High attention to detail and accuracy.
Strong problem-solving approach and analytical curiosity.
Ability to simplify complex data into actionable insights.
Process-oriented with a continuous improvement mindset.
High integrity when working with sensitive business data.

IGT Solutions

Today

Senior Manager -Data Analytics, Science & AI Enablement

Chargebee is seeking a visionary and hands-on Director of Data Analytics, Science & AI Enablement to lead the creation and growth of a data function that powers enterprise-wide AI initiatives. This role will be instrumental in designing, building, and leading a cross-functional team responsible for enterprise data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases.

This leader will be a key strategic partner to business and technology executives, enabling insight-driven decision-making and scalable AI applications through modern data architecture and practices.

Roles and Responsibilities:

Data Analytics, Science and AI Enablement Leadership

Lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models that improve product intelligence and automation.
Build and scale AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation.
Ensure models are interpretable, ethical, and aligned with business and customer trust standards.

Business Analytics & Insights

Drive insights into user behavior, product performance, churn prediction, and lifecycle value using customer and usage data.
Develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams.
Own the customer analytics roadmap to improve onboarding, conversion, retention, and upsell opportunities.

Team Building & Cross-Functional Leadership

Build and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers.
Partner with Product, Engineering, Marketing, Sales, Legal, Risk & Compliance, and Customer Success to align data strategy with business objectives and legal requirements.
Communicate findings to senior leadership and influence roadmap decisions using data-backed recommendations.

Data Infrastructure & Governance

Collaborate with Data Engineering to ensure scalable data architecture and high-quality data pipelines.
Oversee data quality, governance, and compliance across all analytical and operational systems (GDPR, SOC 2, etc.).
Implement scalable data architecture and governance frameworks.
Oversee data consolidation efforts, master data management, and enterprise data catalog development.
Ensure compliance with data privacy regulations and internal standards.

Team Leadership & Vision

Build and lead a high-performing global team of data analysts, data scientists, and data engineers.
Define and execute a comprehensive data and AI enablement roadmap aligned with company goals.
Establish the team's structure, priorities, KPIs, and delivery cadence.

Data & AI Strategy Enablement

Drive data availability, quality, and governance across the organization to support AI and advanced analytics initiatives.
Partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions and ensure they are supported by reliable, well-structured data.
Serve as a thought leader for data science, analytics, and AI enablement best practices.

Analytics & Business Intelligence

Lead the development of dashboards, metrics, and decision-support tools that empower business leaders.
Foster a culture of data literacy and insight-driven decision making throughout the organization.
Provide executive-level insights through advanced data analysis and reporting.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline.
Proven experience working in a SaaS or tech environment with subscription-based metrics (e.g., MRR, ARR, CAC, LTV)
10+ years of experience in data analytics, data science, or related fields, with at least 3-5 years in a leadership capacity.
Proven experience in building and scaling data teams in a SaaS or technology environment.
Strong knowledge of AI/ML concepts, data platforms (e.g., Snowflake, Databricks), and BI tools (e.g., Tableau, Power BI).
Deep understanding of data governance, data quality, and metadata management.
Demonstrated ability to lead change in a global, fast-paced, and matrixed environment.
Excellent communication and stakeholder management skills.
Deep understanding of SaaS metrics, PLG (product-led growth), and usage-based pricing strategies.
Prior experience with product instrumentation and event tracking platforms (Mixpanel, Segment, etc.).
Experience scaling data teams in a high-growth or startup environment

Chargebee

Today

Data Analytics Intern

About Willhire

Willhire is an innovative talent solutions platform committed to connecting businesses with exceptional candidates. As part of our expansion into Data Analytics, we're offering a structured internship program for motivated individuals eager to build a career in data-driven decision-making.

Internship Summary:

Join our analytics team and gain practical experience working on real business datasets. You'll develop dashboards, conduct data analysis, and help generate actionable insights that contribute to business growth in a dynamic tech environment.

Key Responsibilities:

Collect, clean, and preprocess data to ensure accuracy and usability
Conduct exploratory data analysis (EDA) to identify trends and patterns
Create interactive and visually compelling dashboards using Power BI, Tableau, or Excel
Perform SQL queries and support basic statistical analyses
Maintain comprehensive documentation of processes and workflows to ensure data reliability

Ideal Candidate Profile:

Current student or recent graduate in fields such as Data Science, Statistics, Computer Science, or Business Analytics
Proficient with Excel or Google Sheets, SQL, and basic programming skills (Python or R)
Strong analytical thinking, problem-solving ability, and keen attention to detail

Additional Advantages:

Familiarity with business intelligence tools (Tableau, Power BI, Looker)
Exposure to cloud platforms, machine learning concepts, or participation in hackathons
Relevant industry certifications (e.g., Google Data Analytics Certificate, Microsoft Data Analyst Associate)

What You Will Gain:

Real-world project experience and structured mentorship
Personalized one-on-one guidance from industry professionals
Internship Completion Certificate and Letter of Recommendation
Opportunity for pre-placement offer (PPO) based on performance

Selection Process:

Online Application Submission
Aptitude Assessment
Technical & Managerial Interviews
Offer Confirmation & Onboarding

Note:

This is a paid internship opportunity. Willhire is an equal opportunity employer and values diversity, welcoming applications from all qualified candidates regardless of age, gender, ethnicity, religion, disability, or other protected status.

Willhire

Today

Analytics Specialist

Data Proficiency

Strong understanding of GA4 analytics data (insights and interpretation).
Experience with BigQuery as a central data warehouse.
Ability to move data from GA4 to BigQuery.
Proficient in SQL and writing complex queries for analysis and transformations
Lead analytic projects, managing all key internal and external stakeholders
Recommends the right analytical solutions to solve client business problems
Develop customized analytical solutions by integrating GA4 data into BigQuery to support data-driven decision-making processes and optimize marketing strategies
Implement and maintain ETL processes to seamlessly transfer GA4 data to BigQuery, ensuring data quality for precise and comprehensive reporting
Collaborate with cross-functional teams to leverage advanced data analyses and machine learning in BigQuery based on GA4 data, contributing to the enhancement of customer experience and engagement

Data Infrastructure Ownership

Dedicated ownership of Google Cloud setup, especially BigQuery.
Integrate multiple data sources - analytics, CRM, email marketing, Google Ads - into BigQuery

Customer Data Platform (CDP)

Enhance a manually built MVP CDP with automated data ingestion and activation.
Familiarity with Vertex AI, Python, and ML-based audience creation in BigQuery is a plus

Activation & Personalization

Use BigQuery data to push audiences and insights to Google Ads or any other activation tool.
Analyze and optimize workflows to improve performance and results.

You will fit right in if you have -

7- 9 years experience within an analytics function in the marketing industry
Strong experience in SQL, BigQuery, GA4 and ETL
Understanding of Customer Data Platform
GCP experience will be an added advantage
Must feel comfortable learning new systems and tools
Strong interpersonal skills

Publicis Global Delivery (PGD)

Today

Analytics Specialist

Data Proficiency

Strong understanding of GA4 analytics data (insights and interpretation).
Experience with BigQuery as a central data warehouse.
Ability to move data from GA4 to BigQuery.
Proficient in SQL and writing complex queries for analysis and transformations
Lead analytic projects, managing all key internal and external stakeholders
Recommends the right analytical solutions to solve client business problems
Develop customized analytical solutions by integrating GA4 data into BigQuery to support data-driven decision-making processes and optimize marketing strategies
Implement and maintain ETL processes to seamlessly transfer GA4 data to BigQuery, ensuring data quality for precise and comprehensive reporting
Collaborate with cross-functional teams to leverage advanced data analyses and machine learning in BigQuery based on GA4 data, contributing to the enhancement of customer experience and engagement

Data Infrastructure Ownership

Dedicated ownership of Google Cloud setup, especially BigQuery.
Integrate multiple data sources - analytics, CRM, email marketing, Google Ads - into BigQuery

Customer Data Platform (CDP)

Enhance a manually built MVP CDP with automated data ingestion and activation.
Familiarity with Vertex AI, Python, and ML-based audience creation in BigQuery is a plus

Activation & Personalization

Use BigQuery data to push audiences and insights to Google Ads or any other activation tool.
Analyze and optimize workflows to improve performance and results.

You will fit right in if you have -

7- 9 years experience within an analytics function in the marketing industry
Strong experience in SQL, BigQuery, GA4 and ETL
Understanding of Customer Data Platform
GCP experience will be an added advantage
Must feel comfortable learning new systems and tools
Strong interpersonal skills

Publicis Global Delivery (PGD)

Today

Digital Analytics Associate

Associate - Digital Analytics

Office Location: Ghansoli

Position Description:

Work independently on tags configuration and the development of tags and data layer using Google Tag Manager for Web and Mobile Apps.
Work as an individual contributor and handle pipeline of tagging requests received from various clients as well as support large scale projects.
Develop, design, build, test, and monitor of Web data layer and web tags/pixels.
Work with interactive marketing teams (paid media, social media, organic search engine optimization) for tracking in their areas and merging of their data with web analytics, as needed.
A good understanding of Google ecosystem and can perform tagging across all Google platforms including marketing platforms.
Work with program managers/customer service team for timely implementation of changes in tagging due to site changes.
Tagging schemas and specifications for new sites and new site features.
Quality assurance and debugging of tagging as implemented by developers.
Write tagging specifications/flow for developers for enhanced ecommerce websites/apps.
Implement proper cookie consent triggers to adhere to regulatory standards (GDPR, CCPA).
Write JavaScript to pull data from the DOM, dataLayer, JavaScript variables, and data objects for implementation in Google Tag Manager. Server-side tags implementation is a plus.
Write SQL/Big Queries to verify and report on Google Analytics in the data warehouse.
Access the Google Tag Manager and Google Analytics APIs for automating tasks.
Quality assurance and debugging of tagging as implemented by developers.

Responsibilities:

Strong knowledge of DHTML (HTML, CSS, JavaScript, DOM).
Hands-on in Looker Studio (Previously Data Studio) is a plus.
Experience architecting, designing, and implementing data within a data layer.
Experience in reporting and data crunching.
Experience debugging analytics and other HTTP requests with browser developer tools/extensions.

LS Digital Group

Today

Digital Analytics Associate

Associate - Digital Analytics

Office Location: Ghansoli

Position Description:

Work independently on tags configuration and the development of tags and data layer using Google Tag Manager for Web and Mobile Apps.
Work as an individual contributor and handle pipeline of tagging requests received from various clients as well as support large scale projects.
Develop, design, build, test, and monitor of Web data layer and web tags/pixels.
Work with interactive marketing teams (paid media, social media, organic search engine optimization) for tracking in their areas and merging of their data with web analytics, as needed.
A good understanding of Google ecosystem and can perform tagging across all Google platforms including marketing platforms.
Work with program managers/customer service team for timely implementation of changes in tagging due to site changes.
Tagging schemas and specifications for new sites and new site features.
Quality assurance and debugging of tagging as implemented by developers.
Write tagging specifications/flow for developers for enhanced ecommerce websites/apps.
Implement proper cookie consent triggers to adhere to regulatory standards (GDPR, CCPA).
Write JavaScript to pull data from the DOM, dataLayer, JavaScript variables, and data objects for implementation in Google Tag Manager. Server-side tags implementation is a plus.
Write SQL/Big Queries to verify and report on Google Analytics in the data warehouse.
Access the Google Tag Manager and Google Analytics APIs for automating tasks.
Quality assurance and debugging of tagging as implemented by developers.

Responsibilities:

Strong knowledge of DHTML (HTML, CSS, JavaScript, DOM).
Hands-on in Looker Studio (Previously Data Studio) is a plus.
Experience architecting, designing, and implementing data within a data layer.
Experience in reporting and data crunching.
Experience debugging analytics and other HTTP requests with browser developer tools/extensions.

LS Digital Group

Today

Functional Business Analyst - Temenos T24 (Analytics & Autoform)

The Opportunity.

We are seeking an experienced Functional Business Analyst (BA) with strong expertise in Temenos T24 Analytics and Autoform. This role will focus on business requirement analysis, functional documentation, and stakeholder engagement while ensuring business needs are effectively mapped into T24 solutions. The BA will work closely with both business users and technical/consulting teams to validate functional designs and support testing activities, bridging the gap between operations and IT delivery.

The Role.

Key Responsibilities:

Gather, analyze, and document business requirements across banking operations.
Translate requirements into functional specifications for T24 Analytics and Autoform.
Act as liaison between business stakeholders and technical consultants to ensure solution alignment.
Support functional design workshops and validate end-to-end business processes.
Collaborate on test strategy, create test scenarios, and coordinate UAT with business teams.
Assist in issue/defect triage and resolution during testing and implementation phases.
Provide functional support post-deployment and ensure smooth business adoption.

The Expertise.

Education & Certifications:

Bachelor's degree in information technology, Computer Science, Finance, or related field.
Business analysis or ITIL certifications are an advantage.

Experience & Background:

3+ years' experience in banking operations (mandatory).
2-10 years' experience as a Business Analyst in Temenos T24 or within a financial institution's IT/business team.
Proven exposure to Autoform and T24 Analytics (mandatory).
Familiarity with at least one T24 functional domain: Accounting, Deposits, Loans, Payments, Trade Finance, or Treasury.

Must-Have Functional Skills:

Strong requirement gathering and documentation skills.
Ability to map business needs into functional specifications.
Knowledge of corporate banking operations (e.g., Accounts, Funds Transfer, FX, MM, GL, SWIFT, Balance Sheet, Payments).
Understanding of full SDLC in a financial services environment.

Bonus / Preferred Experience:

Exposure to T24 integrations and interfaces with third-party systems.
Experience with test automation tools.
Familiarity with AA Modules (Retail, Lending, Islamic), Teller/Clearing, or Trade Finance.
Prior involvement in compliance, audit, or large-scale transformation programs.

Additional Qualities:

Strong communicator with ability to manage diverse stakeholders.
Detail-oriented with strong analytical and problem-solving skills.
Able to work in a collaborative, hybrid team environment.

What We Offer:

Competitive contract terms (6-12 months, with extension opportunities).
Exposure to global T24 programs and stakeholders.
Opportunity to deepen expertise in Analytics and Autoform while working in a dynamic banking technology environment.

Other Relevant Information:

Location: India
Onsite / Hybrid as per business needs
Contract Type: 6-12 months (extendable)

About us.

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

Thakral One

Today

Senior Manager - Analytics & Platform Enablement

Role: Senior Manager - Data & System Integrations - CRM, Analytics & Platform Enablement

Reporting to: Performance Lead - Digital & Martech

Location: Gurgaon

About Us:

VML, a WPP company, is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R - two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our client partners with a fully integrated offering across brand experience, customer experience and commerce practices - powered by deep data and technology experience.

For more information, visit

Roles & Responsibilities:

Manager - Data & System Integration is a mid-senior data capability champion - responsible for aligning marketing and customer data system across Salesforce, analytics, legacy SAP. This resource will manage enterprise data pipelines, ETL frameworks, and cross-channel integrations to drive real-time personalization, platform experimentation, and performance intelligence across 8+ markets.

This is a hybrid strategic, technical, and consultative role-ideal for someone who combines Martech consulting experience with technical fluency in CRM data architecture, analytics readiness, and cross-regional stakeholder engagement. The resource will work daily with data teams handing data from different geographies, lead conversations with global analytics, and consult markets on platform-driven innovation.

The resource will also serve as the data integration counterpart to the Digital Operations Lead and Digital Experience Lead-ensuring the Martech stack works as one coherent ecosystem.

Core Responsibilities

Data Strategy, Architecture & Governance

Manage and monitor data pipelines across Salesforce Marketing Cloud, Salesforce Data Cloud, SAP, and analytics tools (e.g. Power BI).
Provide a structured approach to building data pipelines for data integration, transforming, and loading into a target system
Partner with global marketing data teams to align enterprise data architecture with evolving use cases.
Govern data mapping, field standardization, consent tracking, and platform tagging across CRM and web properties.
Co-ordination (remote) with Market teams from Southeast Asia, Oceania and Middle East to understand the market-specific systems and data architecture

Regional Data & Communication

Oversee coordination with CRM data ops teams and analytics leads in India, and platform partners globally.
Deliver clear, structured data presentations and insights to business and technical audiences alike.

Analytics Integration & Performance Enablement

Define the tagging and tracking strategy that enables end-to-end performance visibility across media, CRM, and digital platforms.
Ensure data feeds into analytics dashboards (Power BI, internal Ford tools) are accurate, complete, and decision-ready.
Collaborate with the Marketing Science Unit and regional analytics pods to define data readiness protocols and campaign attribution models.

Standards, Documentation & Enablement

Maintain technical documentation: field dictionaries, data ingestion maps, consent logic, and integration frameworks.
Design SOPs, QA checklists, and incident response protocols for all major data pipelines.
Train regional teams and agencies on data model changes, tagging protocols, and Salesforce activation best practices.

Skills and competencies:

6+ years in data architecture, CRM data strategy, or marketing technology integration
A senior Martech consultant, data strategist, or enterprise architect with hands-on Salesforce and ETL leadership experience.
Someone who enjoys translating between business goals and data architecture-and can influence across IT, marketing, and analytics.
A collaborator who works well in matrixed teams, leads by influence, and thrives on large-scale transformation.
Hands-on knowledge of Salesforce Data Cloud, Marketing Cloud, and legacy SAP data models
Experience designing and scaling ETL pipelines via tools such as Informatica, Talend, MuleSoft, Fivetran, or custom APIs
Strong understanding of data governance, privacy (GDPR, PDPA), consent management, and tagging architecture
Familiarity with analytics platforms (Power BI, Google Analytics, Adobe Analytics) and data visualization tools

VML

Today

Senior Manager - Analytics & Platform Enablement

Role: Senior Manager - Data & System Integrations - CRM, Analytics & Platform Enablement

Reporting to: Performance Lead - Digital & Martech

Location: Gurgaon

About Us:

For more information, visit

Roles & Responsibilities:

The resource will also serve as the data integration counterpart to the Digital Operations Lead and Digital Experience Lead-ensuring the Martech stack works as one coherent ecosystem.

Core Responsibilities

Data Strategy, Architecture & Governance

Manage and monitor data pipelines across Salesforce Marketing Cloud, Salesforce Data Cloud, SAP, and analytics tools (e.g. Power BI).
Provide a structured approach to building data pipelines for data integration, transforming, and loading into a target system
Partner with global marketing data teams to align enterprise data architecture with evolving use cases.
Govern data mapping, field standardization, consent tracking, and platform tagging across CRM and web properties.
Co-ordination (remote) with Market teams from Southeast Asia, Oceania and Middle East to understand the market-specific systems and data architecture

Regional Data & Communication

Oversee coordination with CRM data ops teams and analytics leads in India, and platform partners globally.
Deliver clear, structured data presentations and insights to business and technical audiences alike.

Analytics Integration & Performance Enablement

Define the tagging and tracking strategy that enables end-to-end performance visibility across media, CRM, and digital platforms.
Ensure data feeds into analytics dashboards (Power BI, internal Ford tools) are accurate, complete, and decision-ready.
Collaborate with the Marketing Science Unit and regional analytics pods to define data readiness protocols and campaign attribution models.

Standards, Documentation & Enablement

Maintain technical documentation: field dictionaries, data ingestion maps, consent logic, and integration frameworks.
Design SOPs, QA checklists, and incident response protocols for all major data pipelines.
Train regional teams and agencies on data model changes, tagging protocols, and Salesforce activation best practices.

Skills and competencies:

6+ years in data architecture, CRM data strategy, or marketing technology integration
A senior Martech consultant, data strategist, or enterprise architect with hands-on Salesforce and ETL leadership experience.
Someone who enjoys translating between business goals and data architecture-and can influence across IT, marketing, and analytics.
A collaborator who works well in matrixed teams, leads by influence, and thrives on large-scale transformation.
Hands-on knowledge of Salesforce Data Cloud, Marketing Cloud, and legacy SAP data models
Experience designing and scaling ETL pipelines via tools such as Informatica, Talend, MuleSoft, Fivetran, or custom APIs
Strong understanding of data governance, privacy (GDPR, PDPA), consent management, and tagging architecture
Familiarity with analytics platforms (Power BI, Google Analytics, Adobe Analytics) and data visualization tools

VML

Today

Databricks Unified Data Analytics Platform 12+ yrs

Project Role : Data Platform Engineer

Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : NA

Minimum 12 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components.

Roles and Responsibilities:

• Lead the design, development, and optimization of complex data pipelines, ensuring high performance and scalability using Py Spark, Spark, and Big Data technologies.

• Architect data engineering solutions across major cloud platforms like AWS, Azure, or GCP, enabling smooth and secure data ingestion, transformation, and storage.

• Lead efforts to design and build modular, reusable ETL/ELT pipelines to integrate data from various sources into cloud-based data lakes and data warehouses.

• Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineering teams to develop and maintain large-scale data processing systems.

• Guide and mentor junior engineers in best practices for data engineering, cloud technologies, and big data solutions.

• Optimize and tune Spark and big data processing jobs to handle high-volume data efficiently and at scale.

• Ensure data security, privacy, and governance are maintained by enforcing best practices and policies across cloud platforms.

• Implement automated data testing and monitoring solutions to ensure data quality and pipeline reliability.

• Drive initiatives for real-time data processing, batch jobs, and analytics pipelines to support both operational and analytical needs.

• Advocate for continuous improvement, researching new tools, and technologies to drive data engineering excellence.

Required Skills & Qualifications:

• Proven experience with AWS, Azure, or GCP in designing data engineering workflows and solutions.

• Expert-level knowledge of Py Spark, Spark, and Big Data technologies.

• Extensive experience in data pipeline architecture, design, and optimization.

• Strong hands-on experience with large-scale ETL/ELT processes and integrating data into cloud-based platforms like S3, Blob Storage, Big Query, and Redshift.

• Proficiency in Python, SQL, and scripting for data pipeline development.

• Ability to work with real-time data streaming tools like Kafka and batch processing tools.

• Experience leading cross-functional teams in the implementation of cloud-based data platforms and workflows.

• Solid understanding of data security, compliance, and governance in a cloud environment.

Nice to Have:

• The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.

• Familiarity with Dbt (Data Build Tool) for managing data transformation and data quality.

• Exposure to CI/CD pipelines, DevOps practices, and containerization technologies (Docker, Kubernetes).

• Certifications or experience with data tools like Apache Airflow, Five Tran, Informatica, or Talend.

• Experience with analytics and BI tools like Power BI, Tableau, or Looker for visualization over cloud-based data platforms.

Educational Qualification:

- 15 years full time education is required.

client of neerinfo solutions

Today

Analytics Manager - Noon Food

About noon

noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now marketplaces for food delivery, quick commerce, fintech, and fashion. noon is a work in progress; we're six years in, but only 5% done.

noon's mission: Every door, every day

About noon Food

Noon Food is a restaurant-first platform on the noon app, offering fair commissions, a sustainable program, and operating flexibility for the food and beverage industry in the Middle East. The most recent addition to the noon ecosystem, the noon Food mission is to revolutionize the F&B delivery landscape, firmly putting the control and success back in the hands of retailers.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and products
Analyze every stage of the customer journey-from acquisition to engagement, retention, and monetization-to identify points of friction and design strategies to improve funnel performance.
Design and evaluate A/B experiments to validate hypotheses and support product or growth decisions. Partner with relevant teams to ensure experiments are run with scientific rigor and deliver meaningful results.
Continuously look for ways to improve analytics processes-enhance tools and infrastructure, make data more accessible, and streamline reporting for better efficiency and impact.
Drive regular business review with stakeholder, contribute to strategy planning

What you'll need:

Bachelor/Master degree in Engineering, Mathematics, Physics, Computer Science or equivalent
Minimum 4+ years of experience in Analytics / Strategy / Consulting
Excellent data analysis skills (investigation, modeling, mapping & gap analysis)
Knowledge of Tableau/Power BI and other business intelligence and analytical tools
Expert in SQL (must) / Python / R / SAS
Able to develop, test, and deploy models on cloud / web
Experience in handling large datasets - Expert data modeling skills
Strong knowledge of fundamentals, including funnel analytics, customer segmentation, user activity modeling, churn analytics and A/B testing.
Strong problem-solving capabilities- able to conceptualize, organize, simplify
Ability to own projects end-to-end: building out timelines, key milestones, provide regular updates to stakeholders and delivery against agreed upon specs
Ability to adapt in the dynamic and fast-paced environment
Excellent verbal and written communication skills.

Who will excel?

We're looking for people with high standards, who understand that hard work matters.
You need to be relentlessly resourceful and operate with a deep bias for action.
We need people with the courage to be fiercely original.
noon is not for everyone; readiness to adapt, pivot, and learn is essential.

noon

Today

Analytics Manager - Noon Food

About noon

noon's mission: Every door, every day

About noon Food

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and products
Analyze every stage of the customer journey-from acquisition to engagement, retention, and monetization-to identify points of friction and design strategies to improve funnel performance.
Design and evaluate A/B experiments to validate hypotheses and support product or growth decisions. Partner with relevant teams to ensure experiments are run with scientific rigor and deliver meaningful results.
Continuously look for ways to improve analytics processes-enhance tools and infrastructure, make data more accessible, and streamline reporting for better efficiency and impact.
Drive regular business review with stakeholder, contribute to strategy planning

What you'll need:

Bachelor/Master degree in Engineering, Mathematics, Physics, Computer Science or equivalent
Minimum 4+ years of experience in Analytics / Strategy / Consulting
Excellent data analysis skills (investigation, modeling, mapping & gap analysis)
Knowledge of Tableau/Power BI and other business intelligence and analytical tools
Expert in SQL (must) / Python / R / SAS
Able to develop, test, and deploy models on cloud / web
Experience in handling large datasets - Expert data modeling skills
Strong knowledge of fundamentals, including funnel analytics, customer segmentation, user activity modeling, churn analytics and A/B testing.
Strong problem-solving capabilities- able to conceptualize, organize, simplify
Ability to own projects end-to-end: building out timelines, key milestones, provide regular updates to stakeholders and delivery against agreed upon specs
Ability to adapt in the dynamic and fast-paced environment
Excellent verbal and written communication skills.

Who will excel?

We're looking for people with high standards, who understand that hard work matters.
You need to be relentlessly resourceful and operate with a deep bias for action.
We need people with the courage to be fiercely original.
noon is not for everyone; readiness to adapt, pivot, and learn is essential.

noon

Today

Subject Matter Expert Data Analytics/Scientist

A little bit about us

The company has raised more than 22 Million USD till date and is a subsidiary of InfoEdge ( IIMJobs, Jeevansathi,etc.) with the latter, acquiring a majority stake in Coding Ninjas.

Job Description

Responsibilities

Conduct live, interactive masterclass online sessions on Data Analytics.
Mentor learners on real-world applications, frameworks, and tools.
Teach core concepts such as data cleaning, exploratory analysis, visualization, dashboards, and data storytelling.
Guide learners in using tools like Excel, SQL, Power BI, Tableau, Python (Pandas), and other analytics platforms.
Assess learner understanding and update content based on insights.
Ensure engaging, easy-to-understand explanations suitable for all levels.

Requirements

Strong hands-on experience in Data Analytics and BI tools.
Expertise in Excel, SQL, Power BI, and Python, along with AI-enabled analytics
Ability to explain analytical concepts in simple, practical language.
Excellent communication, public speaking, and presentation skills.
Ability to confidently handle and engage a live audience.
Prior teaching, mentoring, or training experience is preferred.
Availability as per the contract schedule.

Preferred Background

Working Professionals from MAANG, top tech startups, data-driven companies, analytics teams, AI startups, and unicorns across industries are preferred.

Contract Details

Duration: Based on the masterclass timeline.
Compensation: Per session .
Mode: Online - Live Sessions.

Coding Ninjas

Today

Subject Matter Expert Data Analytics/Scientist

A little bit about us

The company has raised more than 22 Million USD till date and is a subsidiary of InfoEdge ( IIMJobs, Jeevansathi,etc.) with the latter, acquiring a majority stake in Coding Ninjas.

Job Description

Responsibilities

Conduct live, interactive masterclass online sessions on Data Analytics.
Mentor learners on real-world applications, frameworks, and tools.
Teach core concepts such as data cleaning, exploratory analysis, visualization, dashboards, and data storytelling.
Guide learners in using tools like Excel, SQL, Power BI, Tableau, Python (Pandas), and other analytics platforms.
Assess learner understanding and update content based on insights.
Ensure engaging, easy-to-understand explanations suitable for all levels.

Requirements

Strong hands-on experience in Data Analytics and BI tools.
Expertise in Excel, SQL, Power BI, and Python, along with AI-enabled analytics
Ability to explain analytical concepts in simple, practical language.
Excellent communication, public speaking, and presentation skills.
Ability to confidently handle and engage a live audience.
Prior teaching, mentoring, or training experience is preferred.
Availability as per the contract schedule.

Preferred Background

Working Professionals from MAANG, top tech startups, data-driven companies, analytics teams, AI startups, and unicorns across industries are preferred.

Contract Details

Duration: Based on the masterclass timeline.
Compensation: Per session .
Mode: Online - Live Sessions.

Coding Ninjas

Today

Senior Workday Reporting Analyst - Advanced reporting/Prism Analytics/Tableau

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world's most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at .

The Role:

We are seeking an experienced Senior Workday Reporting Analyst to lead the design, development, and delivery of advanced reports, dashboards, and analytics within the Workday platform. In addition to serving as a subject matter expert, partnering with HR, Finance, Legal, and Leadership teams to deliver actionable insights, this role will also play a broader part in shared services and automation initiatives (such as Help and similar platforms). The ideal candidate combines deep technical expertise in Workday reporting tools with strong communication skills and a forward-looking mindset-able to leverage AI/ML and automation to streamline processes, enhance user experience, and translate complex requirements into scalable, high-quality solutions.

Key Responsibilities

• Design, build, and maintain Workday reports, dashboards, and custom analytics (Advanced, Matrix, Composite, Prism, Discovery Boards, BIRT).

• Ensure reporting accuracy, integrity, compliance, and alignment with security and data privacy standards.

• Partner with HR, Finance, Legal, and Leadership teams to gather requirements and deliver actionable insights.

• Respond to ad-hoc reporting requests and provide timely, accurate analyses.

• Document reporting processes, maintain a reporting catalog, and support data governance practices, and maintain user-friendly documentation library.

• Support Workday upgrades and feature releases through testing and validation of reporting functionality.

• Drive continuous improvement by enhancing reporting efficiency, expanding self-service capabilities, and mentoring team members.

Skills you'll need

• Bachelor's degree in Computer Science, Information Systems, HR Analytics, or related field.

• 3-5 years of hands-on experience with Workday reporting (Advanced, Matrix, Composite,

custom and Discovery Boards).

• Proficiency with Prism Analytics and BIRT (certifications strongly preferred).

• Strong understanding of HR processes including HCM, Payroll, Talent, and Compensation.

• Good hands-on experience of the Workday Security Framework

• Excellent analytical, problem-solving, and stakeholder management skills.

• Strong written and verbal communication, with ability to explain technical concepts to nontechnical audiences.

• Experience with Workday upgrades, data governance, and familiarity with tools such as SQL, Power BI, or Tableau is a plus

Benefits & Perks:

Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun.

Equity Rewards (RSUs)
Employee Stock Purchase Plan (ESPP)
Insurance plans with Outpatient cover
National Pension Scheme (NPS)
Flexible work policy
Childcare support

Silicon Labs

Today

Head of Analytics

About Us

Resolute is a forward-thinking investment firm committed to strategic diversification and sustainable growth across high-impact sectors. It's diversified portfolio includes Hair Drama Company (a luxury fashion accessories brand specializing in Hair Accessories operating in India, UK and UAE), Sanghi Industries Limited (a prominent company jointly owned by Adani Group and the Sanghi Family), ShareSquare (Fractional Real Estate Platform based in Dubai), Resolute Sports (A sport franchise which owns Hyderabad Toofan Team in HIL and Delhi Toofan in VPL). We nurture ventures that redefine industry benchmarks and create long-lasting value. We are now seeking a visionary Analytics Head who can lead our data initiatives, drive strategic insights, and help translate complex data into powerful business decisions.

Roles and Responsibilities

Strategic Data Leadership: Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization.
Business Intelligence & Insights: Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media.
Collaboration with Leadership: Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making.
Data Architecture & Governance: Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise.
Analytics Framework Development: Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure).
Innovation & Thought Leadership: Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage.
Cross-functional Enablement: Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards.
Performance Monitoring: Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment.

Requirements

Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role.
Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.).
Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools.
Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions.
Strong understanding of data governance, security, and compliance standards.
Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders.
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Preferred Qualifications

Prior experience in an investment firm, financial services, or high-growth startup environment.
Familiarity with business operations across finance, product, and marketing.
Experience with open-source data science libraries and deployment of ML models into production.
Strong project management capabilities and familiarity with Agile methodologies.

Resolute Corp

Today

Senior Manager - Data Science/Analytics (Urgent Requirement)

About the Role:

Work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to one or more clients in the CPG/Retail Industry
Lead multiple project teams consisting of consultants, analysts, data scientists, BI experts, data / ML engineers etc.
Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions
Translate those business problems (sometimes ambiguous) into clear analytics problem statements
Design plans to develop and deploy advanced analytics and data solutions with a product mindset in collaboration with internal CoEs e.g. Cloud, Engineering, Data Sciences, MLOps etc.
Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities.
Measure and articulate how analytics results improve clients' business & financial metrics.
Contribute to organization building through training, mentoring and developing repeatable analytics approaches

Location:

Delhi/NCR, Chennai, Bangalore, Hyderabad

Responsibilities

Minimum 5-10 years of relevant work experience in delivering advanced analytics, engineering and BI solutions through analytics consulting with overall 10 - 13 years of work experience.
Minimum 2-3 years experience in working with and leading multidisciplinary teams
In depth understanding of Retail/CPG industry function with Pricing Analytics, Promotions, Revenue Growth experience.
Ability to translate high level business problems to an analytics and data problem statement
Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions with a product mindset
Work Experience of DS / ML / DE/ AI techniques - when and why they are used and interpretation of results from a business viewpoint
Ability to discover patterns in data and deliver impactful insights in the context of client decision making
Experience in stakeholder management, driving project governance, and linking analytics to business value delivered
Hands-on experience in data handling using SQL and advanced analytics tools such as R and / or Python
Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI
Excellent written, oral, presentation, interpersonal and stakeholder management skills.

Tiger Analytics

Today

Data Analytics Lead

Role: Assistant MIS Manager

Location: Gurugram

Mode: Work from office

Position Overview

The Assistant MIS & Data Analytics Manager will be responsible for organizational reporting, data management, and analytics initiatives. The role combines strong MIS competencies with advanced analytical capabilities to support strategic decision-making. This includes developing dashboards, automating reports, analyzing trends, and establishing governance over data processes. Knowledge of Oracle systems is preferred.

Key Responsibilities

MIS Reporting & Dashboard Management

Lead the creation and distribution of all daily/weekly/monthly MIS reports across business functions.
Build and maintain dashboards that track KPIs such as productivity, financial performance, operational efficiency, and manpower metrics.

Data Analytics & Insights

Analyze complex datasets to identify trends, patterns, and business opportunities.
Develop predictive models, performance insights, and scenario analyses to support strategic planning.
Conduct root-cause analysis on operational challenges and recommend data-driven actions.
Translate analytical findings into clear, actionable business recommendations.

Automation & System Enhancement

Drive automation of m

IGT Solutions

Today

Reporting and Analytics Specialist

Designation: Analysis Executive – Reports

Role Overview:

We are looking for an Analysis Executive to support the reporting function by compiling, analyzing, and presenting insights from online data related to brand performance, audience behavior, and digital trends. The ideal candidate should have strong analytical and storytelling skills, an eye for detail, and the ability to translate raw data into actionable insights for internal and client teams. This role demands consistency, accuracy, and timely delivery of high-quality reports.

Proficiency Required:

The candidate should be proficient in Microsoft Excel/Google Sheets, PowerPoint/Google Slides, and social media analytics tools such as Sprinklr, Talkwalker, or native platform dashboards (Meta, YouTube, X/Twitter, etc.). Basic knowledge of data visualization tools like Power BI or Tableau will be an added advantage.

Years of Experience: 2 years

Type: Work from Office

Language Requirement:

The candidate must have a good understanding of Gujarati to accurately interpret and analyze region-specific data and conversations. Fluency in English and Hindi is also essential for day-to-day collaboration and reporting.

1. Brand Understanding & Alignment:

Understand the business and communication goals of the brand to ensure reporting and

Zoo Media

Today

Human Resource Analytics

Must have skills: NLP OR Natural Language Processing, workforce OR People analytics & Data scientist

Good to have skills: statistical methodologies

Educational Qualification: Any Bachelors or Master’s Full time.

Roles & Responsibilities:

Experience in building data-driven survey-based solutions including frameworks, questionnaires, and action plans.
Linking analytics results with Behavioral Science/ Industrial and Organizational Psychology concepts.
Working knowledge of basic/advanced statistical and machine learning methodologies in the workforce analytics space.
Good to have practical knowledge in the areas of Natural Language Processing.
Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions.
Define data-backed people strategies to support business transformational programs.
Co-create solutions and assist clients in developing action plans.
Support Product Development and own the delivery of new OA products.
Build strong relationships with clients and foster business growth.

Professional & Technical Skills:

3 to 6 years of experience in business data analysis and Talent management-related programs (workforce transformation, talent strategy, HR strategy, organization & operating model design, an

Mount Talent Consulting Pvt Ltd.

Yesterday

Market Access Analytics Lead

Job Title: Senior Associate / Project Leader – Market Access

Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad

Job Summary: - This role will be responsible for market access/payer analytics, analyzing payer and patient-level data to deliver robust insights and solutions to client.

Job Responsibilities:-

Collaborate with cross-functional and cross-geographic teams to deliver high-impact Market Access, pricing, payer analytics, and contracting insights for global pharma clients
Work closely with project managers to define the analytical approach, break down complex access problems into structured execution steps, and ensure high-quality delivery
Contribute towards Axtria tools and capabilities as per the business requirements.
Build organization capabilities by participating in Hackathon, solution design, and process automation
Present analytical findings and strategic recommendations to onshore/client stakeholders through clear, compelling slide decks and discussions.

Job Requirements:-

3–4+ years of experience in the Pharmaceutical / Life Sciences Domain
We are looking for candidates with strong exposure to Market Access, Payer Analytics and commercial pharmaceutical analytics
Solid understanding of pharmaceutical contracting entities and landscape, including commerc

Axtria - Ingenious Insights

Today

Payer Analytics Consultant

Job Title: Senior Associate / Project Leader – Market Access

Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad

Job Summary: - This role will be responsible for market access/payer analytics, analyzing payer and patient-level data to deliver robust insights and solutions to client.

Job Responsibilities:-

Collaborate with cross-functional and cross-geographic teams to deliver high-impact Market Access, pricing, payer analytics, and contracting insights for global pharma clients
Work closely with project managers to define the analytical approach, break down complex access problems into structured execution steps, and ensure high-quality delivery
Contribute towards Axtria tools and capabilities as per the business requirements.
Build organization capabilities by participating in Hackathon, solution design, and process automation
Present analytical findings and strategic recommendations to onshore/client stakeholders through clear, compelling slide decks and discussions.

Job Requirements:-

3–4+ years of experience in the Pharmaceutical / Life Sciences Domain
We are looking for candidates with strong exposure to Market Access, Payer Analytics and commercial pharmaceutical analytics
Solid understanding of pharmaceutical contracting entities and landscape, including commerc

Axtria - Ingenious Insights

Today

Finance Transformation & Analytics Leader

Skills Required: FP&A Transformation and Analytics

Location: Gurugram/Bengaluru

Designation: I&F Decision Sci Practitioner Manager (CL7 - AVP equivalent)

Qualifications: MBA/MCOM/CA/CMA

Years of Experience: 12 to 18 years

What would you do?

You will deliver breakthrough business outcomes for clients—by harnessing talent, data and intelligence to redefine their operating models. We are seeking an experienced FP&A Transformation Leader to drive financial planning and analysis modernization initiatives for our clients. This role combines deep FP&A domain expertise with cutting-edge technology capabilities to reimagine traditional finance processes and deliver measurable business outcomes.

What are we looking for?

- Apply deep subject matter expertise in core FP&A processes including strategic planning, budgeting, forecasting, variance analysis, and performance reporting to design optimal future-state solutions

- Leverage advanced analytics and AI/ML technologies to build predictive models, scenario planning capabilities, and intelligent forecasting systems that transform traditional FP&A approaches

- Conduct comprehensive process assessments to identify automation opportunities and design optimal technology-enabled workflows that reduce manual effort while improving accuracy

- Translate complex financial conce

Accenture in India

Today

Avp Fp&A Transformation And Analytics

Skills Required: FP&A Transformation and Analytics

Location: Gurugram/Bengaluru

Designation: I&F Decision Sci Practitioner Manager (CL7 - AVP equivalent)

Qualifications: MBA/MCOM/CA/CMA

Years of Experience: 12 to 18 years

What would you do?

What are we looking for?

- Leverage advanced analytics and AI/ML technologies to build predictive models, scenario planning capabilities, and intelligent forecasting systems that transform traditional FP&A approaches

- Conduct comprehensive process assessments to identify automation opportunities and design optimal technology-enabled workflows that reduce manual effort while improving accuracy

- Translate complex financial conce

Accenture in India

Today

Senior Manager - Customer Service Analytics & Product Strategy

About noon

We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a Senior Manager, Business Intelligence who can help us move even faster.

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

We are seeking a senior professional who began their career in Business Intelligence and has evolved into a broader operations or product-driven role. This position requires an individual with strong analytical depth who can translate data into actionable product enhancements, operational improvements, and scalable CS solutions. The ideal candidate brings several years of hands-on BI experience paired with demonstrated leadership in driving product initiatives, partnering with engineering, and shaping customer experience strategies in a large-scale e-commerce environment.

1. Customer Service Analytics & Insights (BI Focus)

Lead the end-to-end analytics function for CS, including data modelling, dashboarding, forecasting, root-cause analysis, and deep-dive performanc

noon

Today

Senior Manager - Customer Service Analytics & Product Strategy

About noon

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

1. Customer Service Analytics & Insights (BI Focus)

Lead the end-to-end analytics function for CS, including data modelling, dashboarding, forecasting, root-cause analysis, and deep-dive performanc

noon

Today

Analytics Consultant

Role and Responsibilities:

- Comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data owners to resolve issues

- Ability to understand mainframe data systems, mine data to diagnose issues, identify resolution pathways and execute solutions

- Executing methodology on analytics platform and developing scripts

- Generating analysis documentation and ensuring policy compliance

- Create business presentations for executives explaining the diagnosis of problem, resolution pathways and business recommendations

- Use variety of analytical tools (Python, SQL, PySpark etc.) to carry out analysis and drive conclusions

- Reformulate highly technical information into concise and understandable terms for presentations

- Program management for multi-tier client engagement

- Maintain high degree of customer satisfaction and NPS score

Candidate Profile:

- 4+ years of consulting, analytics delivery experience

- 3+ years of experience in Banking and Financial Services analytics.

- Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field

- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required

- Experience of working in financial services and

EXL

Today

Senior/Lead CRM Analytics Developer

About the Role:

The Salesforce CRM Analytics Sr/Lead Developer role is an important position within the Platform

Analytics team, involving the support and enhancement of Salesforce implementations for diverse clients

across industries.

Location: Hyderabad. This role requires an on-site presence, with no hybrid or remote work option.

Experience: 4-7 Years (with Minimum 4 Years of Relevant Experience)

Your Contribution:

As the Sr/Lead Developer, you will:

1. Collaborate with the CRM Analytics team to analyze and address business, functional, and technical

requirements and issues.

2. Participate in project team meetings, ensuring effective communication with various stakeholders.

3. Leverage strong hands-on experience in CRM Analytics to envision and design solutions, provide

meaningful insights, and take a consultative approach with stakeholders.

4. Translate business requirements into well-architected solutions, optimizing the use of the CRM

Analytics platform.

5. Develop data flows, recipes, data sets, lenses, and dashboards to facilitate quick decision-making.

6. Perform data integration, connecting CRM Analytics to Salesforce and external systems.

8. Utilize hands-on experience with JSON and Intelligence within Einstein Analytics.

9. Assess and troubleshoot bugs and data discrepancies within the analytics platform.

Egen

5 days ago

Lead/Principal Business Analyst (Customer Analytics)

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role

Cvent’s Analytics team is seeking an experienced Business Analyst to lead strategic initiatives in customer analytics and revenue enablement . This role will drive high-impact, cross-functional programs that generate actionable insights, accelerate

Cvent

Today

Lead/Principal Business Analyst (Customer Analytics)

About the Role

Cvent

Today

Lead/Principal Business Analyst (Customer Analytics)

About the Role

Cvent

Today

Senior Manager - Business Analytics & Insights

THE ROLE

We are seeking a dynamic professional to lead Governance and Strategy for our global business operations. this professional will be responsible to drive strategic decision-making, governance, and performance enhancement across global operations. He/She will work directly with senior leaders to implement data-backed initiatives, optimize processes, and elevate business outcomes.

KEY RESPONSIBILITIES

Leadership & Governance

Partner with global senior leadership to guide strategic decisions and governance priorities.
Drive vertical-specific business plans and oversee critical project execution.
Lead internal governance, prioritizing high-impact actions.

Performance & Reporting

Validate and consolidate MIS reports to ensure accuracy and data integrity.
Deliver high-level performance summaries and insights for executive review.
Strengthen reporting frameworks, controls, and audit-readiness across business units.

Analysis & Decision Support

Conduct financial analysis to support strategic planning and resource allocation.
Analyze trends and operational metrics to identify productivity opportunities.
Create actionable recommendations that enhance cross-functional collaboration and performance.

Project Management & Operational Excell

Concentrix

Today

Lead Data Scientist - Advanced Analytics

Intelligence Node® is a real-time retail intelligence platform that empowers businesses to drive product-level profitability and grow margins using data-driven real-time competitive insights. Intelligence Node's cutting-edge technology leverages AI to aggregate and analyze billions of data points across 1,900 retail categories in 34 global markets. Intelligence Node’s business model provides a comprehensive suite of solutions encompassing product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance, to aid retailers and brands in all strategic and operational decision-making. Its patented product matching engine and proprietary AI offer 99% data accuracy and 10-second data refresh rates. In December 2024, Intelligence Node was acquired by Interpublic Group (IPG), a global leader in marketing solutions. Joining forces with IPG through this strategic acquisition allows Intelligence Node to deliver a future-ready combined solution to companies navigating the complexities of today's commerce landscape. Together, we can provide the comprehensive data, advanced analytics, and strategic expertise that enterprise brands and retailers need to win market share and drive sustainable growth.

As a Senior Data Scientist at Intelligence Node, you will spearhead the application of advanced AI/ML in the retail and e-commerce space. With over a decade of experience, you will design, develop, and deploy next

Intelligence Node

Today

Head of Analytics & Insights

THE ROLE

KEY RESPONSIBILITIES

Leadership & Governance

Partner with global senior leadership to guide strategic decisions and governance priorities.
Drive vertical-specific business plans and oversee critical project execution.
Lead internal governance, prioritizing high-impact actions.

Performance & Reporting

Validate and consolidate MIS reports to ensure accuracy and data integrity.
Deliver high-level performance summaries and insights for executive review.
Strengthen reporting frameworks, controls, and audit-readiness across business units.

Analysis & Decision Support

Conduct financial analysis to support strategic planning and resource allocation.
Analyze trends and operational metrics to identify productivity opportunities.
Create actionable recommendations that enhance cross-functional collaboration and performance.

Project Management & Operational Excell

Concentrix

Today

Senior Manager - Business Analytics & Insights

THE ROLE

KEY RESPONSIBILITIES

Leadership & Governance

Partner with global senior leadership to guide strategic decisions and governance priorities.
Drive vertical-specific business plans and oversee critical project execution.
Lead internal governance, prioritizing high-impact actions.

Performance & Reporting

Validate and consolidate MIS reports to ensure accuracy and data integrity.
Deliver high-level performance summaries and insights for executive review.
Strengthen reporting frameworks, controls, and audit-readiness across business units.

Analysis & Decision Support

Conduct financial analysis to support strategic planning and resource allocation.
Analyze trends and operational metrics to identify productivity opportunities.
Create actionable recommendations that enhance cross-functional collaboration and performance.

Project Management & Operational Excell

Concentrix

Today

Assistant Manager- C&B and HR Analytics

Job Title: Assistant Manager – C&B and HR Analytics

Reports To: India Lead – C&B and HR Operations

Position Focus:

Design and execution of compensation and benefits strategies & programs that align with business goals, ensuring market competitiveness and internal equity. This role is pivotal in driving data-led decision-making across the HR functions in GCCs, Plant Operations and Corporate Offices by leveraging analytics skills and platforms

Scope:

Partner with HRBPs / Region/India Leadership to develop compensation programs / solutions that align with organizational goals and talent strategies in a growing organization. Develop appropriate salary structures based on job families to monitor the level and effectiveness of pay to ensure internal equity and external competitiveness.
Conduct market intelligence and analysis to ensure competitive compensation practices for new hires while onboarding and existing talent in annual salary reviews, bonus cycles and promotion processes
Oversee headcount and labor cost reporting. Partner with the Finance function to drive alignment with all budgets and forecasts.
Design & implement employee benefit programs for GCCs, Plants and Corporate offices, including employee insurance for a superior employee experience
HR Analytics: Implement automated reporting and analytics models in HR KPIs, C&

Lear Corporation

4 days ago

Assistant Manager- C&B and HR Analytics

Job Title: Assistant Manager – C&B and HR Analytics

Reports To: India Lead – C&B and HR Operations

Position Focus:

Scope:

Partner with HRBPs / Region/India Leadership to develop compensation programs / solutions that align with organizational goals and talent strategies in a growing organization. Develop appropriate salary structures based on job families to monitor the level and effectiveness of pay to ensure internal equity and external competitiveness.
Conduct market intelligence and analysis to ensure competitive compensation practices for new hires while onboarding and existing talent in annual salary reviews, bonus cycles and promotion processes
Oversee headcount and labor cost reporting. Partner with the Finance function to drive alignment with all budgets and forecasts.
Design & implement employee benefit programs for GCCs, Plants and Corporate offices, including employee insurance for a superior employee experience
HR Analytics: Implement automated reporting and analytics models in HR KPIs, C&

Lear Corporation

4 days ago

Director - Data Analytics & Ai - Managed Services

Hi All

Greetings from Live Connections!

We have an urgent requirement on Director - Data Analytics & AI - Managed Services role with one of our MNC based company in Bengaluru Location. Please find the below job description and kindly share me your updated CV to sharmila@liveconnections.in

Position Title: Director - Data Analytics & AI - Managed Services role

Experience Level: 20+Years

Full Time

Notice Period: Immediate to 3 Months

Location : Bengaluru, KA

Technical Skills:

Experience and knowhow of working with a combination/subset tools and technologies listed below

Proficient with Data & Analytics architecture including modernization strategies and modern architectures like Data Lake, data fabric, Data Mesh
Proficient with Data & Analytics strategies and Good experience working with Chief Data Office team to build roadmaps, strategies
Strong understanding of Data & Analytics services cloud platforms (e.G., AWS, Azure, GCP) like AWS Glue, EMR, ADF, Redshift, Synapse, BigQuery etc and big data technologies (e.G., Hadoop, Spark).
Hands on experience working with one of the native Data & Analytics services on AWS, Azure and/or GCP along with snowflake, Databricks and leading ETL tools and BI tools
Proficiency in data analytics tools (e.G., Power BI, Tableau, QlikV

Live Connections

Today

Director - Data Analytics & Ai - Managed Services

Hi All

Greetings from Live Connections!

Position Title: Director - Data Analytics & AI - Managed Services role

Experience Level: 20+Years

Full Time

Notice Period: Immediate to 3 Months

Location : Bengaluru, KA

Technical Skills:

Experience and knowhow of working with a combination/subset tools and technologies listed below

Proficient with Data & Analytics architecture including modernization strategies and modern architectures like Data Lake, data fabric, Data Mesh
Proficient with Data & Analytics strategies and Good experience working with Chief Data Office team to build roadmaps, strategies
Strong understanding of Data & Analytics services cloud platforms (e.G., AWS, Azure, GCP) like AWS Glue, EMR, ADF, Redshift, Synapse, BigQuery etc and big data technologies (e.G., Hadoop, Spark).
Hands on experience working with one of the native Data & Analytics services on AWS, Azure and/or GCP along with snowflake, Databricks and leading ETL tools and BI tools
Proficiency in data analytics tools (e.G., Power BI, Tableau, QlikV

Live Connections

Today

Analytics Manager - Noon Food

About noon

noon’s mission: Every door, every day

About noon Food

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and products
Analyze every stage of the customer journey—from acquisition to engagement, retention, and monetization—to identify points of friction and design strategies to improve funnel performa

noon

5 days ago

Senior Workday Reporting Analyst - Advanced reporting/Prism Analytics/Tableau

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at .

The Role:

We are seeking an experienced Senior Workday Reporting Analyst to lead the design, development, and delivery of advanced reports, dashboards, and analytics within the Workday platform. In addition to serving as a subject matter expert, partnering with HR, Finance, Legal, and Leadership teams to deliver actionable insights, this role will also play a broader part in shared services and automation initiatives (such as Help and similar platforms). The ideal candidate combines deep technical expertise in Workday reporting tools with strong communication skills and a forward-looking mindset—able to leverage AI/ML and automation to streamline processes, enhance user experience, and translate complex requirements into scalable, high-quality solutions.

Key Responsibilities

• Design, build, and maintain Workday reports, dashboards, and custom analytics

Silicon Labs

4 days ago

Senior Manager - Analytics & Platform Enablement

Role: Senior Manager - Data & System Integrations – CRM, Analytics & Platform Enablement

Reporting to: Performance Lead – Digital & Martech

Location: Gurgaon

About Us:

VML, a WPP company, is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R — two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our client partners with a fully integrated offering across brand experience, customer experience and commerce practices — powered by deep data and technology experience.

For more information, visit

Roles & Responsibilities:

This is a hybrid strategic, technical, and consultative role —ideal for someone who combines Martech consulting experience with technical fluency in CRM data architecture, analytics readiness

VML

Today

Analytics Enablement Director

Role: Senior Manager - Data & System Integrations – CRM, Analytics & Platform Enablement

Reporting to: Performance Lead – Digital & Martech

Location: Gurgaon

About Us:

For more information, visit

Roles & Responsibilities:

VML

Today

Senior Manager - Analytics & Platform Enablement

Role: Senior Manager - Data & System Integrations – CRM, Analytics & Platform Enablement

Reporting to: Performance Lead – Digital & Martech

Location: Gurgaon

About Us:

For more information, visit

Roles & Responsibilities:

VML

Today

Assistant Manager- C&B And Hr Analytics

Job Title: Assistant Manager – C&B and HR Analytics

Reports To: India Lead – C&B and HR Operations

Position Focus:

Scope:

Partner with HRBPs / Region/India Leadership to develop compensation programs / solutions that align with organizational goals and talent strategies in a growing organization. Develop appropriate salary structures based on job families to monitor the level and effectiveness of pay to ensure internal equity and external competitiveness.
Conduct market intelligence and analysis to ensure competitive compensation practices for new hires while onboarding and existing talent in annual salary reviews, bonus cycles and promotion processes
Oversee headcount and labor cost reporting. Partner with the Finance function to drive alignment with all budgets and forecasts.
Design & implement employee benefit programs for GCCs, Plants and Corporate offices, including employee insurance for a superior employee experience
HR Analytics: Implement automated reporting and analytics models in HR KPIs, C&

Lear Corporation

Today

Senior Financial Analytics Specialist

Senior Financial Data Scientist

Role Summary:

FNZ is forming a new analytical team to build and maintain financial models which satisfy various business requirements and are based on rigorous modelling approaches. This role will form a key part of this team, requiring the ability to establish an analytical function, working collaboratively with the wider business and various stakeholders to identify and solve business problems.

Academic Requirements:

A minimum of an undergraduate degree in an analytical discipline such as mathematics/statistics/physics is required. A postgraduate qualification in a related area would be desirable. Evidence of continuing professional development is desirable.

Key Skills & Experience Analytics and Modelling:

- Exploratory data analysis.

- As this role involves building rigorous technical models, there is an expectation of both formal educational training in statistical/modelling concepts, as well as practical model building experience, ideally in an environment where rigorous oversight and challenge of models is expected.

- Core statistical methods and modelling techniques such as multiple linear regression & logistic regression, standard hypothesis testing, model based multivariate methods. A knowledge of estimation theory would be preferred (frequentist) and

FNZ

Today

Planning Analytics TM1 Solution Specialist

Overview

PepsiCo is embarked on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate “vertical” planning for Business Units (BUs) or markets, and “horizontal” planning for functions (e.G., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo organization.

PepsiCo

Today

Data Monitoring and Analytics Consultant

Key Role Responsibilities:

Design and implement monitoring solutions for new and existing systems; utilising Cribl, Splunk, Opensearch and other tools aligned to NAB standard patterns.
Contribute to the creation of new monitoring patterns, roadmaps where required.
Data onboarding: Requirements gathering, design, implementation, and testing, to onboard new data sources to Cribl, Opensearch and Splunk – via Universal Forwarders, Event Collector, APIs, syslog etc.
Map data to Splunk CIM, to meet stakeholder and data governance requirements.
Performance optimisation – Optimise existing and new search queries and dashboards to improve performance. Optimise platform design and configuration to enhance performance, architecture.

Skills and Experience:

Strong knowledge of Splunk architecture, administration, and custom development (Splunk certified admin / architect / developer or equivalent experience) across Splunk Enterprise, Splunk Enterprise Security.
Experience administering and/or developing for an enterprise level implementation of Splunk (clustered architecture).
Proficient in Splunk query language (SPL) and experienced in developing and supporting custom Splunk search head applications for specific use cases.
Strong knowledge of Cribl architecture, administration, and custom development (Cribl certified admin / developer or equivalent expe

Tech Mahindra

Today

Ibm Planning Analytics (Tm1) Support Engineer

Overview

PepsiCo is embarked on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate “vertical” planning for Business Units (BUs) or markets, and “horizontal” planning for functions (e.G., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo organization.

PepsiCo

Today

Ibm Planning Analytics (Tm1) Support Engineer

Overview

PepsiCo is embarked on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate “vertical” planning for Business Units (BUs) or markets, and “horizontal” planning for functions (e.G., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo organization.

PepsiCo

Today

Senior Analytics Engineer I

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Summary

As a Senior Analytics Engineer I at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.

This role can be based out of Gurugram.

Responsibilities

MongoDB

Today

Lead/Principal Business Analyst (Customer Analytics)

About the Role

Cvent

Yesterday

Senior Analytics Engineer I

Summary

This role can be based out of Gurugram.

Responsibilities

MongoDB

Today

Senior Analytics Engineer I

Summary

This role can be based out of Gurugram.

Responsibilities

MongoDB

Today

Data Analytics Lead

Awarded the Oscars of the advertising world, The Cannes Global Agency of the Year 2022 (a first for India!) Dentsu international comprises of six leadership brands - Carat, dentsu X, iProspect, Isobar, dentsuMB and Merkle, each supported by its specialist divisions and scaled services. With best-in-class services and solutions in Media, Customer Experience Management (CXM), and Creative, dentsu international operates in over 145 markets worldwide with more than 66,000 dedicated talented employees working together to reach the never before!

Part of dentsu International, dentsu India helps some of the biggest & most interesting brands who are our clients everyday to win, keep and grow their best customers and achieve meaningful progress for their businesses. With best-in-class services and solutions in Media, CXM (Customer Experience Management) and Creative, Dentsu India is the 2nd biggest Advertising agency network in India while the dentsu international is the 5th largest in the world.

In good times and bad, we partner with brands to achieve meaningful progress as we are a force for good & for meaningful growth. Our teams of optimists, entrepreneurs and first-movers coalesce around the needs of our clients, unlocking unique possibilities for sustainable value and lasting change.

Learn more at:

This role is responsible t

Dentsu India

Today

Audit & Analytics Consultant

About Fort Hill

Founded in 2006, Fort Hill is a leading consultancy dedicated exclusively to "construction auditing". We support higher education institutions, healthcare systems, and industrial clients in strengthening financial integrity across large-scale capital projects. Our team combines deep construction expertise with rigorous financial oversight to help clients build with confidence.

Position Summary

Fort Hill is seeking a detail-oriented Audit & Analytics Consultant with up to five years of experience in contract audit & compliance . The ideal candidate brings a blend of analytical rigor, familiarity with construction documentation , and strong coordination skills.

"In this role, you will support management in evaluating billings, reviewing contractual compliance, validating financial submissions, and preparing audit deliverables. You will also work directly with clients, and project stakeholders to gather evidence and support findings.

Key Responsibilities

Audit & Financial Compliance

Assist in conducting contract audits focused on cost verification and billing accuracy.
Review supporting financial documents against construction related contract terms.
Perform analytical tests to identify inconsistencies, or non-compliant charges.

Reporting & Stak

FORT HILL DAATA

Today

Senior Director, Data Analytics & Credit Risk

VP – Data & Analytics | Credit Risk SME and Account Leadership

A strategic leader with proven success in data-driven decision-making , enterprise analytics , and P&L ownership across multiple high-value banking and financial services accounts . Combines deep domain expertise, especially in credit risk (with focus on unsecured products) , strong delivery oversight, and the ability to deliver measurable client value. Skilled in leading global teams, managing offshore operations, and driving innovation through analytics.

Key Leadership Responsibilities & Achievements

Strategic Analytics & Decision Support

Developed and executed enterprise-wide analytics strategies aligned with business goals across global banking clients.
Translated complex financial and operational challenges into actionable, data-driven insights to support digital and risk transformation.
Led strategic programs in credit risk mitigation using advanced analytics.

Account & Delivery Ownership

Held full P&L ownership for multiple banking accounts; consistently delivered 3x+ ROI to clients.
Oversaw offshore delivery and ensured execution quality in risk and/or fraud and compliance areas.
Established governance frameworks and operational controls to manage large-scale delivery in m

EXL

Today

Head of Data Analytics, Credit Risk

VP – Data & Analytics | Credit Risk SME and Account Leadership

Key Leadership Responsibilities & Achievements

Strategic Analytics & Decision Support

Developed and executed enterprise-wide analytics strategies aligned with business goals across global banking clients.
Translated complex financial and operational challenges into actionable, data-driven insights to support digital and risk transformation.
Led strategic programs in credit risk mitigation using advanced analytics.

Account & Delivery Ownership

Held full P&L ownership for multiple banking accounts; consistently delivered 3x+ ROI to clients.
Oversaw offshore delivery and ensured execution quality in risk and/or fraud and compliance areas.
Established governance frameworks and operational controls to manage large-scale delivery in m

EXL

Today

People Analytics Leader

We’re hiring | Manager – People Analytics (C&B Analytics)

📍 Location: Gurgaon (Only Delhi NCR candidates)

💼 Experience: 4–5 years

Key Skills:

HR Analytics, Compensation & Benefits, Excel, Market Benchmarking, Reporting & Dashboards, Vendor Payments, HR Systems, Strong Attention to Detail, Problem Solving & Communication

Role Overview:

- Deliver people analytics insights to support Total Rewards & People Strategy

- Build dashboards and leadership reports

- Salary benchmarking, merit & bonus analytics, HR cost governance

- Market intelligence and best practices

- Data-driven recommendations for senior leadership

Role Summary

The Manager – People Analytics will be responsible for transforming people data into actionable insights to support Total Rewards and broader People Strategy. The role will work closely with senior stakeholders, providing analytics-driven recommendations on compensation, rewards, workforce structure, and HR cost governance. This position also supports strategic people initiatives and leadership decision-making through robust analytics, reporting, and market intelligence.

Key Responsibilities

Design and maintain dashboards to track the health of key people processes using intuitive visualizations
Analyze and synthesize people data to generate insights that support stra

Talent Toppers

Today

Manager - People Analytics / Hr Analytics

We’re hiring | Manager – People Analytics (C&B Analytics)

📍 Location: Gurgaon (Only Delhi NCR candidates)

💼 Experience: 4–5 years

Key Skills:

HR Analytics, Compensation & Benefits, Excel, Market Benchmarking, Reporting & Dashboards, Vendor Payments, HR Systems, Strong Attention to Detail, Problem Solving & Communication

Role Overview:

- Deliver people analytics insights to support Total Rewards & People Strategy

- Build dashboards and leadership reports

- Salary benchmarking, merit & bonus analytics, HR cost governance

- Market intelligence and best practices

- Data-driven recommendations for senior leadership

Role Summary

Key Responsibilities

Design and maintain dashboards to track the health of key people processes using intuitive visualizations
Analyze and synthesize people data to generate insights that support stra

Talent Toppers

Today

Manager - People Analytics / Hr Analytics

We’re hiring | Manager – People Analytics (C&B Analytics)

📍 Location: Gurgaon (Only Delhi NCR candidates)

💼 Experience: 4–5 years

Key Skills:

HR Analytics, Compensation & Benefits, Excel, Market Benchmarking, Reporting & Dashboards, Vendor Payments, HR Systems, Strong Attention to Detail, Problem Solving & Communication

Role Overview:

- Deliver people analytics insights to support Total Rewards & People Strategy

- Build dashboards and leadership reports

- Salary benchmarking, merit & bonus analytics, HR cost governance

- Market intelligence and best practices

- Data-driven recommendations for senior leadership

Role Summary

Key Responsibilities

Design and maintain dashboards to track the health of key people processes using intuitive visualizations
Analyze and synthesize people data to generate insights that support stra

Talent Toppers

Today

Senior Manager - Business Analytics & Insights

THE ROLE

KEY RESPONSIBILITIES

Leadership & Governance

Partner with global senior leadership to guide strategic decisions and governance priorities.
Drive vertical-specific business plans and oversee critical project execution.
Lead internal governance, prioritizing high-impact actions.

Performance & Reporting

Validate and consolidate MIS reports to ensure accuracy and data integrity.
Deliver high-level performance summaries and insights for executive review.
Strengthen reporting frameworks, controls, and audit-readiness across business units.

Analysis & Decision Support

Conduct financial analysis to support strategic planning and resource allocation.
Analyze trends and operational metrics to identify productivity opportunities.
Create actionable recommendations that enhance cross-functional collaboration and performance.

Project Management & Operational Excell

Concentrix

4 days ago

Lead - Data Scientist (Collection Analytics)

About the Role:

You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with

coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams

Job Responsibilities:

- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.

- Utilize data science techniques to analyze collections data, identify repayment patterns, and improve recovery strategies across customer segments.

- Develop predictive models to assess delinquency risk, prioritize collection efforts, and enhance portfolio health through data-driven insights.

- Well versed with necessary data reprocessing and feature engineering skills.

- Constantly look and research on ML algorithms an

IndusInd Bank

Today

Lead - Data Scientist (Collection Analytics)

About the Role:

coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams

Job Responsibilities:

- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.

- Utilize data science techniques to analyze collections data, identify repayment patterns, and improve recovery strategies across customer segments.

- Develop predictive models to assess delinquency risk, prioritize collection efforts, and enhance portfolio health through data-driven insights.

- Well versed with necessary data reprocessing and feature engineering skills.

- Constantly look and research on ML algorithms an

IndusInd Bank

Today

Lead - Data Scientist (Collection Analytics)

About the Role:

coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams

Job Responsibilities:

- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.

- Utilize data science techniques to analyze collections data, identify repayment patterns, and improve recovery strategies across customer segments.

- Develop predictive models to assess delinquency risk, prioritize collection efforts, and enhance portfolio health through data-driven insights.

- Well versed with necessary data reprocessing and feature engineering skills.

- Constantly look and research on ML algorithms an

IndusInd Bank

Today

Analytics Manager - Noon Food

About noon

noon’s mission: Every door, every day

About noon Food
Noon Food is a restaurant-first platform on the noon app, offering fair commissions, a sustainable program, and operating flexibility for the food and beverage industry in the Middle East. The most recent addition to the noon ecosystem, the noon Food mission is to revolutionize the F&B delivery landscape, firmly putting the control and success back in the hands of retailers.

What you'll do:
Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.
Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and products
Analyze every stage of the customer journey—from acquisition to engagement, retention, and monetization—to identify points of friction and design strategies to improve funnel performance.

noon

Today

Analytics & Machine Learning Specialist

📌 Job Description: Data Scientist – EXL

Experience: 4–7 years

Location: Gurugram (Hybrid)

🔹 Role Overview

We’re looking for an energetic and skilled Data Scientist to join EXL’s analytics team. The ideal candidate will bring hands-on expertise in statistical modeling, machine learning, and data-driven problem solving, with the ability to translate business challenges into analytical solutions.

🔹 Key Responsibilities

Develop, implement, and optimize predictive & statistical models.
Perform data mining, feature engineering, and exploratory data analysis.
Work with large structured/unstructured datasets across domains.
Build ML solutions using Python/R and deploy them into production environments.
Present insights and model outcomes to stakeholders with clarity and impact.
Collaborate with cross-functional teams to solve business problems.

🔹 Required Skills

Strong proficiency in Python, SQL, and ML algorithms.
Experience with statistical modeling, regression, classification, segmentation, etc.
Hands-on experience with EDA, data wrangling, and visualization tools (Tableau/Power BI preferred).
Experience deploying models or working with cloud platforms (AWS/Azure) is a plus.
Excellent communication and client-facing abilities.

EXL

Today

AVP FP&A Transformation and Analytics

Skills Required: FP&A Transformation and Analytics Location: Gurugram/BengaluruDesignation: I&F Decision Sci Practitioner Manager (CL7 - AVP equivalent)Qualifications: MBA/MCOM/CA/CMAYears of Experience: 12 to 18 years What would you do?You will deliver breakthrough business outcomes for clients-by harnessing talent, data and intelligence to redefine their operating models. We are seeking an experienced FP&A Transformation Leader to drive financial planning and analysis modernization initiatives for our clients. This role combines deep FP&A domain expertise with cutting-edge technology capabilities to reimagine traditional finance processes and deliver measurable business outcomes. What are we looking for?• Apply deep subject matter expertise in core FP&A processes including strategic planning, budgeting, forecasting, variance analysis, and performance reporting to design optimal future-state solutions• Leverage advanced analytics and AI/ML technologies to build predictive models, scenario planning capabilities, and intelligent forecasting systems that transform traditional FP&A approaches• Conduct comprehensive process assessments to identify automation opportunities and design optimal technology-enabled workflows that reduce manual effort while improving accuracy• Translate complex financial concepts into technical requirements and vice versa, serving as the bridge between finance and technology teams• Help build data-driven FP&A platforms using modern technologies (cloud-based EPM systems, data visualization tools, robotic process automation) to create scalable, real-time financial insights • Support pursuit activities by developing compelling demonstrations of FP&A transformation capabilities and participating in client pitches• Contribute to RFP responses with technical solution design, project estimates, and implementation approaches for FP&A modernization opportunities• Advanced proficiency in one or more EPM platforms (Anaplan, Adaptive Insights, OneStream, Oracle PBCS, SAP BPC)• Strong data analytics capabilities using tools such as Alteryx, Tableau, Power BI, Python, or R for financial modeling and visualization• Experience with AI/ML applications in finance including predictive analytics, automated forecasting, and intelligent process automation• Database and data management knowledge including SQL, data warehousing concepts, and ETL processes• Develop business cases and ROI models for proposed FP&A transformation initiatives, including cost-benefit analysis and implementation roadmaps

Accenture in India

Today

Senior Analytics Engineer I

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.SummaryAs a Senior Analytics Engineer I at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.This role can be based out of Gurugram.ResponsibilitiesDesign, implement, and maintain highly performant data post-processing pipelinesCreate shared data assets that will act as the company's source-of-truth for critical business metricsPartner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insightsPartner with data engineering to expose governed datasets to the rest of the organizationMake impactful contributions to our analytics infrastructure, systems, and toolsCreate and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practicesMaintain consistent planning and tracking of work in JIRA tickets Skills & AttributesBachelor's degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline3-5 years of relevant experienceStrong Proficiency in SQL and experience working with relational databasesSolid understanding of data modeling and ETL processesProficiency in Python for automation, data manipulation, and analysisExperience managing ETL and data pipeline orchestration with dbt and AirflowComfortable with command line functionsFamiliarity with Hive, Trino (Presto), SparkSQL, Google BigQueryExperience with cloud data storage like AWS S3, GCSExperience with managing codebases with gitConsistently employs CI/CD best practicesExperience translating project requirements into a set of technical sub-tasks that build towards a final deliverableExperience combining data from disparate data sources to identify insights that were previously unknownPrevious project work requiring expertise in business metrics and datasetsStrong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams.The ability to effectively collaborate cross-functionally to drive actionable and measurable resultsCommitted to continuous improvement, with a passion for building processes/tools to make everyone more efficientA passion for AI as an enhancing tool to improve workflows, increase productivity, and generate smarter outcomes.A desire to constantly learn and improve themselvesTo drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB

Today

Senior Executive - Analytics

About the Company:Interactive Avenues is India's leading full-service digital marketing agency and the digital arm of IPG Mediabrands. With a pan-India presence and a dynamic team of strategists, creatives, media planners, and technologists, we deliver 360 digital solutions that drive real business impact.We partner with some of the world's most iconic global and Indian brands across industries-crafting powerful, data-driven campaigns that blend creativity, performance, and innovation. Our integrated approach spans media, content, data, and digital transformation, making us a trusted growth partner in a fast-evolving digital ecosystem.At Interactive Avenues, we foster a culture of collaboration, curiosity, and continuous learning-empowering our people to do their best work and grow with purpose. Learn more about us: Role SummaryThe Senior Executive - Analytics will support the conversion of complex media, digital and market data into actionable insights that inform both strategic and in-flight campaign decisions. The role will work closely with media planning, client servicing, deployment and performance teams to track campaign effectiveness, identify optimisation opportunities and ensure accurate, timely reporting.A key focus of the role will be executing data analysis, maintaining dashboards, supporting automation initiatives and enabling data-led media planning. The ideal candidate is analytically strong, detail-oriented and curious, with the ability to simplify data and deliver clear insights. Key Responsibilities1. Performance Measurement & InsightsCollect, clean and analyse data from multiple sources including ad platforms, analytics tools and spreadsheets.Prepare regular and ad-hoc performance reports and dashboards for internal teams and clients.Analyse cross-channel media performance against defined KPIs.Support deep dives across audience, platform, creative and geography to identify optimisation opportunities.Translate data outputs into clear insights and actionable recommendations.2. Digital & Marketing Data AutomationAssist in building and maintaining automated reporting dashboards using BI tools.Support data extraction, validation and hygiene across reporting systems.Identify gaps and inefficiencies in existing reporting processes and flag opportunities for automation and improvement.Ensure consistency and accuracy of data across reports and dashboards.3. Planning & Optimisation SupportProvide data-backed inputs to support media planning and optimisation decisions.Assist in reach, frequency and performance analysis for ongoing and upcoming campaigns.Support test-and-learn initiatives by tracking performance and documenting learnings.4. Market & Consumer AnalysisSupport integration of media, market and consumer data to create holistic performance views.Track trends in campaign performance, brand metrics and market indicators.Maintain scorecards and tracking frameworks for key accounts.5. Stakeholder CollaborationWork closely with planning, client servicing, deployment and performance teams to ensure accurate data capture and reporting.Support senior team members in responding to analytics and insight-related requests.Contribute to adoption and consistent usage of analytics tools and frameworks within the team. Basic Qualifications & Skills2-4 years of experience in media, digital or marketing analytics (agency experience preferred).Hands-on experience with:Google AnalyticsGoogle Tag ManagerAdobe AnalyticsMicrosoft Excel (advanced formulas, pivot tables, data manipulation)Looker StudioGoogle BigQueryStrong analytical mindset with comfort handling large and complex datasets.Experience in performance reporting, dashboarding and basic automation workflows.High attention to detail with strong time management and organisational skills.Ability to work in fast-paced environments and meet tight deadlines.Strong communication skills with the ability to present data clearly and confidently.Self-motivated, proactive and keen to continuously learn and upskill. Why Join Interactive AvenuesBenefits:Our employees can access a wide range of benefits which, depending on eligibility criteria, include:Flexible working Hours40 paid holidays & 15 calendar holidays in a year26 weeks paid maternity leave, 4 weeks paid paternity leave and adoption leave as well as benefits to support you as you transition to life as a working parentInsurance : Medical & Accidental of 7.5L and Term life InsuranceOther benefits to support your physical, mental and financial wellbeingAccess a wide range of learning and development opportunities Our commitment to diversity, equity and inclusion:We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply for a role regardless of their identity, including gender, race, ethnicity, cultural identity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background.

Interactive Avenues

Today

Senior Managing Consultant, Advisors & Consulting Services, Performance Analytics

Title and Summary Senior Managing Consultant, Advisors & Consulting Services, Performance Analytics Consultant (Configured Delivery) - Mastercard Advisors All About Us MasterCard Advisors, the professional services arm of Mastercard, provides payments-focused consulting services (including business strategy, proposition & operating model design, performance optimisation, marketing, information and risk management) to financial institutions and merchants worldwide. With its unique payments expertise, deep understanding of customer needs and successful track record in addressing complex challenges throughout the payments lifecycle, MasterCard Advisors has established a strong track record of successfully addressing the challenges and opportunities of its clients • Are you motivated by developing new consulting models, leading to insights into issues and developing recommendations that add real value to clients? • Can you develop key hypotheses and construct logical storylines? • Do you want to play a key role in driving a world beyond cash? Your Responsibilities The Consultant is a team member who actively contributes to delivering consulting projects for MasterCard Advisors clients. • Contributes towards the development of strategies and programs for large, strategically important global clients from a central delivery hub • Obtain data from multiple sources, collate, analyse and triangulate information to develop reliable fact bases and reports• Apply a range of quantitative and qualitative analytical techniques to rigorously identify client issues and synthesise the analysis into clear, sound recommendations• Structure and prepare draft reports and client steering committee presentations • Present draft reports to key stakeholders for review and feedback• Plan, organize and structure own work to manage time and effort effectively within project budget / profitability expectations• Extract intellectual capital from engagement work and actively develop and share tools, methods and best practices across projects• Build network of contacts and internal relationships across MasterCard to support information gathering and data analysis All About You • Demonstrable consulting skills • Bachelors degree or equivalent qualification. Advanced degree or MBA preferred• Professional level English language capability • Strong analytical, interpretive and problem solving skills, including the proven ability to interpret large amounts of data, some of it ambiguous, and translate it into concise rational output that includes recommendations based upon core findings.• Strong presence & communication skills - both interpersonal & written• Excellent client management & engagement management skills; collaborates well across multiple communication channels• Proven team player with proven ability to work with all levels in a highly intellectual, collaborative, and fast paced environmentKey Words: Strategy Consultant, Associate, Senior Associate, Consultant, Analyst Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard's security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Mastercard

Today

Senior Manager - Business Analytics & Insights

THE ROLEWe are seeking a dynamic professional to lead Governance and Strategy for our global business operations. this professional will be responsible to drive strategic decision-making, governance, and performance enhancement across global operations. He/She will work directly with senior leaders to implement data-backed initiatives, optimize processes, and elevate business outcomes. KEY RESPONSIBILITIESLeadership & GovernancePartner with global senior leadership to guide strategic decisions and governance priorities.Drive vertical-specific business plans and oversee critical project execution.Lead internal governance, prioritizing high-impact actions. Performance & ReportingValidate and consolidate MIS reports to ensure accuracy and data integrity.Deliver high-level performance summaries and insights for executive review.Strengthen reporting frameworks, controls, and audit-readiness across business units. Analysis & Decision SupportConduct financial analysis to support strategic planning and resource allocation.Analyze trends and operational metrics to identify productivity opportunities.Create actionable recommendations that enhance cross-functional collaboration and performance. Project Management & Operational ExcellenceLead execution of high-impact initiatives aligned with business goals.Oversee business performance meetings-both internal and client-facing. Stakeholder EngagementRepresent business priorities to leaders, ensuring transparent communication and alignment.Foster strong relationships for effective governance and planning. IDEAL CANDIDATE PROFILE12+ years' experience in business analytics and reporting, preferably within BPOs or shared services.Excellent communication skills-able to translate complex data into clear business narratives to executive leadership.Adept at managing analytics projects and preparing sharp presentations.Highly proficient in Excel and PowerPoint with advanced data visualization abilities.Detail-oriented and confident in presenting strategic viewpoints to executive stakeholders.

Concentrix

Today

Analytics Specialist

Data ProficiencyStrong understanding of GA4 analytics data (insights and interpretation).Experience with BigQuery as a central data warehouse.Ability to move data from GA4 to BigQuery.Proficient in SQL and writing complex queries for analysis and transformationsLead analytic projects, managing all key internal and external stakeholdersRecommends the right analytical solutions to solve client business problemsDevelop customized analytical solutions by integrating GA4 data into BigQuery to support data-driven decision-making processes and optimize marketing strategiesImplement and maintain ETL processes to seamlessly transfer GA4 data to BigQuery, ensuring data quality for precise and comprehensive reportingCollaborate with cross-functional teams to leverage advanced data analyses and machine learning in BigQuery based on GA4 data, contributing to the enhancement of customer experience and engagement Data Infrastructure OwnershipDedicated ownership of Google Cloud setup, especially BigQuery.Integrate multiple data sources - analytics, CRM, email marketing, Google Ads - into BigQuery Customer Data Platform (CDP)Enhance a manually built MVP CDP with automated data ingestion and activation.Familiarity with Vertex AI, Python, and ML-based audience creation in BigQuery is a plus Activation & PersonalizationUse BigQuery data to push audiences and insights to Google Ads or any other activation tool.Analyze and optimize workflows to improve performance and results. You will fit right in if you have - 7- 9 years experience within an analytics function in the marketing industryStrong experience in SQL, BigQuery, GA4 and ETLUnderstanding of Customer Data PlatformGCP experience will be an added advantageMust feel comfortable learning new systems and toolsStrong interpersonal skills

Publicis Global Delivery PGD

Today

Lead/Principal Business Analyst (Customer Analytics)

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and 22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we're transforming the meetings and events industry through innovative technology that powers the human connection. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship - a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections. About the Role Cvent's Analytics team is seeking an experienced Business Analyst to lead strategic initiatives in customer analytics and revenue enablement. This role will drive high-impact, cross-functional programs that generate actionable insights, accelerate revenue growth, and enhance analytics service delivery across Sales, Marketing, Customer Success, and Product. You will collaborate with senior executives, business leaders, analysts, and program managers to ensure analytics initiatives-from intake through execution-deliver measurable outcomes in customer engagement, retention, and revenue impact. This role will help strengthening Analytics Center of Excellence, advancing data-as-a-product principles, and standardizing analytics delivery to scale impact across the organization. It is well-suited for professionals who blend business acumen, technical orientation, and strong stakeholder management skills while thriving in complex, cross-functional environments. Key Responsibilities: Strategic Business Analysis Translate customer-facing business objectives (revenue growth, retention, pipeline acceleration, engagement) into clear analytics requirements and success metrics.Develop business cases, feasibility studies, and cost-benefit analyses to prioritize high-value analytics projects.Drive standardization of analytics workflows, enabling scalable, repeatable data products. Project Leadership & Execution Manage the analytics intake process for customer initiatives-assessing requests, aligning priorities, and setting expectations.Lead cross-functional projects end-to-end, ensuring timely execution and measurable value realization.Partner with Sales, Marketing, Customer Success, and Product to validate requirements, refine deliverables, and track outcomes.Proactively identify risks, manage dependencies, and ensure initiatives stay on track. Executive Engagement & Communication Act as a trusted advisor to senior leaders, providing insights and recommendations that directly influence customer and revenue strategies.Deliver executive-ready reports, dashboards, and presentations that clearly communicate impact.Facilitate workshops and alignment sessions to drive consensus on customer and revenue objectives. Technical & Data Orientation Bridge business needs with technical delivery by understanding customer data ecosystems, CRM/reporting platforms, and analytics workflows.Collaborate with data engineers, analysts, and business owners to ensure scalable, high-quality solutions.Stay current on trends in customer analytics, revenue intelligence, and applied AI/ML to identify innovative opportunities. Core Business Analysis Accountabilities Document business/functional requirements, user stories, and workflows for analytics solutions.Perform gap analysis, root cause analysis, and process improvements to optimize delivery.Support UAT, validation, and adoption of customer analytics solutions.Maintain documentation, version control, and knowledge-sharing best practices.Lead change management initiatives to drive adoption of analytics tools and insights. Qualifications: Bachelor's degree in business, Analytics, Computer Science, Engineering, Economics, or related field (Master's preferred).10+ years of experience in business analysis, consulting, or program management within data, AI, or analytics functions.Proven record managing high-visibility, cross-functional initiatives with measurable business or revenue impact.Strong executive presence with excellent communication, presentation, and storytelling skills.Ability to engage and influence stakeholders across Sales, Marketing, Customer Success, Product, and Analytics.Deep understanding of data management, customer data, CRM systems, analytics platforms, and AI/ML technologies.Proficiency in JIRA, Confluence, MS Project, PowerPoint, Power BI/Tableau/Sigma, Salesforce, and SQL basics; experience with cloud data platforms (Snowflake, Databricks, AWS/Azure/GCP) a plus.Experience in governance, compliance, and responsible AI practices preferred.Strong problem-solving, prioritization, and ambiguity management skills.Certifications in Agile, PMP, or Business Analysis (CBAP, PMI-PBA) a plus.

Cvent

Today

Lead - Data Scientist (Collection Analytics)

About the Role: You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams Job Responsibilities: - Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.- Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.- Utilize data science techniques to analyze collections data, identify repayment patterns, and improve recovery strategies across customer segments.- Develop predictive models to assess delinquency risk, prioritize collection efforts, and enhance portfolio health through data-driven insights.- Well versed with necessary data reprocessing and feature engineering skills.- Constantly look and research on ML algorithms and data sources for better prediction- Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.- Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.- Experience in establishing/scaling up data science functions- Proven ability to discover solutions hidden in large datasets and to drive business results with their data based insights- Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time- Help define pricing models for digital value propositions for various segments of users / clients to ensure profitabilityof the portfolio and to ensure achievement of business outcomes- Work with product, growth, and marketing teams across product/campaign lifecycle Education, Work Experience, Key Skill Set Requirements: - BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges- Model development experience in Python,R- Proven experience in building and deploying models for delinquency prediction, collection prioritization, and recovery optimization.- Strong understanding of credit risk, repayment behavior, and collection strategies, with the ability to translate insights into actionable business decisions.- Mandatory experience in Collection/ Recovery analytics and modeling- Strong and in-depth understanding of statistics- Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems- Ability to build & use relationships and influence broadly across the organization- Results driven with strong project management skills, ability to work on multiple priorities- Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testin

IndusInd Bank

Today

Data Engineer - Advance Level - Credit Analytics

Job Purpose: Looking for exceptional Data Engineers with a proven track record of experience in creating systems for processing data using Azure Cloud And/Or having sound knowledge of Power BI. Job Responsibilities(JR) : 6 - 8 Areas Actionable (4-6)Data processing and Management Extraction Transformation Loading (ETL) of required data from different source systems using multiple channels (Python / SQL ) on Azure cloud platform Design, implement and continuously expand data pipelines by performing ETL activities Gather requirements and business process knowledge in order to transform data as per needs of end users Maintain and improve already existing processes Formulating data cuts and strategies to assess credit risk for new and existing and existing customers of the Bank. Analyze results, identify patterns and trends in data Ability to define, review reports and analysis Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives Interest in - and familiarity with data analysis and the ability to 'slice and dice' data. Reporting / Collaboration with Stakeholders Reporting results back to relevant stakeholders Creating appropriate documentation that allows stakeholders to understand the steps of data analysis process and duplicate or replicate the analysis if necessary.Innovation Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money. Any other assignments depending on the needs of the organization Educational Qualifications Key Skills 1. BTech/B.E./Bsc/MSc or equivalent in IT/ Computer science or related areas Excellent problem-solving capabilities with strong fundamentals in computer science Strong technical & analytical skills Strong knowledge in data processing involving complex transformations Strong knowledge in dashboard preparation Strong written and verbal communication skills Excellent knowledge of current trends in the field of data analytics/business analytics fieldExperience Required Experience of 2+ years in role of business analyst/data analyst Experience of 2+ years in Spark/Python/SQL/Azure Cloud in building, maintaining as well as deployingscalable data pipelines Exposure to banking preferable Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties) Credit Policy IT / BTG / BSG Credit Strategy Unit Fraud Control

HDFC Bank

Today

SAP Analytics Cloud - Data Sphere

Greetings from TCS Job Title: SAP Analytics Cloud - Data SphereLocation: Chennai / Pan IndiaExperience Range: 5 -12 Years 5+ years of experience in SAP SAC (BI/Planning/Analytics).Strong hands-on experience in SAC integration with S/4HANA Cloud (RISE with SAP) using live and import connections.Expertise in SAC Story building, KPI dashboards, and role-based access/security configuration.Proficiency in SAC Planning - data models, allocation logic, predictive planning and forecasting.Strong understanding of S/4HANA data models (FI, CO, Logistics, Procurement, Sales) to build end-to-end reporting solutions.Experience in SAP Datasphere or BW/4HANA for advanced data modeling.Familiarity with SAC Analytics Designer (scripting) and custom widgets.Experience in BPC, Group Reporting, or Consolidation solutions integrated with SAC.Exposure to Cloud deployment models, performance tuning, and security best practices in SAC.Strong stakeholder management, presales and customer-facing experience in RISE with SAP programs Thanks

Tata Consultancy Services

Today

Senior Manager - Analytics & Platform Enablement

Role: Senior Manager - Data & System Integrations - CRM, Analytics & Platform EnablementReporting to: Performance Lead - Digital & MartechLocation: Gurgaon About Us: VML, a WPP company, is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R - two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our client partners with a fully integrated offering across brand experience, customer experience and commerce practices - powered by deep data and technology experience. For more information, visit Roles & Responsibilities: Manager - Data & System Integration is a mid-senior data capability champion - responsible for aligning marketing and customer data system across Salesforce, analytics, legacy SAP. This resource will manage enterprise data pipelines, ETL frameworks, and cross-channel integrations to drive real-time personalization, platform experimentation, and performance intelligence across 8+ markets. This is a hybrid strategic, technical, and consultative role-ideal for someone who combines Martech consulting experience with technical fluency in CRM data architecture, analytics readiness, and cross-regional stakeholder engagement. The resource will work daily with data teams handing data from different geographies, lead conversations with global analytics, and consult markets on platform-driven innovation.The resource will also serve as the data integration counterpart to the Digital Operations Lead and Digital Experience Lead-ensuring the Martech stack works as one coherent ecosystem. Core Responsibilities Data Strategy, Architecture & Governance Manage and monitor data pipelines across Salesforce Marketing Cloud, Salesforce Data Cloud, SAP, and analytics tools (e.g. Power BI).Provide a structured approach to building data pipelines for data integration, transforming, and loading into a target systemPartner with global marketing data teams to align enterprise data architecture with evolving use cases.Govern data mapping, field standardization, consent tracking, and platform tagging across CRM and web properties.Co-ordination (remote) with Market teams from Southeast Asia, Oceania and Middle East to understand the market-specific systems and data architecture Regional Data & Communication Oversee coordination with CRM data ops teams and analytics leads in India, and platform partners globally.Deliver clear, structured data presentations and insights to business and technical audiences alike. Analytics Integration & Performance Enablement Define the tagging and tracking strategy that enables end-to-end performance visibility across media, CRM, and digital platforms.Ensure data feeds into analytics dashboards (Power BI, internal Ford tools) are accurate, complete, and decision-ready.Collaborate with the Marketing Science Unit and regional analytics pods to define data readiness protocols and campaign attribution models. Standards, Documentation & Enablement Maintain technical documentation: field dictionaries, data ingestion maps, consent logic, and integration frameworks.Design SOPs, QA checklists, and incident response protocols for all major data pipelines.Train regional teams and agencies on data model changes, tagging protocols, and Salesforce activation best practices. Skills and competencies: 6+ years in data architecture, CRM data strategy, or marketing technology integrationA senior Martech consultant, data strategist, or enterprise architect with hands-on Salesforce and ETL leadership experience.Someone who enjoys translating between business goals and data architecture-and can influence across IT, marketing, and analytics.A collaborator who works well in matrixed teams, leads by influence, and thrives on large-scale transformation.Hands-on knowledge of Salesforce Data Cloud, Marketing Cloud, and legacy SAP data modelsExperience designing and scaling ETL pipelines via tools such as Informatica, Talend, MuleSoft, Fivetran, or custom APIs Strong understanding of data governance, privacy (GDPR, PDPA), consent management, and tagging architectureFamiliarity with analytics platforms (Power BI, Google Analytics, Adobe Analytics) and data visualization tools

VML

Today

Manager - People Analytics / HR Analytics

We're hiring Manager - People Analytics (C&B Analytics) Location: Gurgaon (Only Delhi NCR candidates) Experience: 4-5 years Key Skills:HR Analytics, Compensation & Benefits, Excel, Market Benchmarking, Reporting & Dashboards, Vendor Payments, HR Systems, Strong Attention to Detail, Problem Solving & Communication Role Overview:- Deliver people analytics insights to support Total Rewards & People Strategy- Build dashboards and leadership reports- Salary benchmarking, merit & bonus analytics, HR cost governance- Market intelligence and best practices- Data-driven recommendations for senior leadership Role SummaryThe Manager - People Analytics will be responsible for transforming people data into actionable insights to support Total Rewards and broader People Strategy. The role will work closely with senior stakeholders, providing analytics-driven recommendations on compensation, rewards, workforce structure, and HR cost governance. This position also supports strategic people initiatives and leadership decision-making through robust analytics, reporting, and market intelligence. Key ResponsibilitiesDesign and maintain dashboards to track the health of key people processes using intuitive visualizationsAnalyze and synthesize people data to generate insights that support strategic HR and business decisionsSupport the Total Rewards portfolio including salary design, market benchmarking, merit and bonus administrationMonitor external market pay ranges, compensation trends, and best practicesProvide insights on organizational structure, spans, and layers (internal vs external benchmarking)Act as the single point of contact and subject matter expert for ad-hoc people analytics requestsConsolidate people data from multiple internal and external sources across the employee lifecycle to identify improvement opportunitiesDrive initiatives to improve retention, engagement, and workforce effectivenessEnsure central budget governance and monitoring of HR costsSupport NRC agenda, IRDA compliance requirements, and leadership reportingCollaborate on cross-functional people projects and strategic initiatives Mandatory SkillsStrong HR Analytics capabilityCompensation & Benefits knowledgeAdvanced Excel and reporting skillsMarket benchmarkingVendor payments and HR cost trackingExperience working with HR systemsHigh attention to detailStrong problem-solving and communication skills MBA in HR (HR Analytics certification preferred), the incumbent's current ctc should be around 14-15 lpa minimum

Talent Toppers

Today

Subject Matter Expert Data Analytics/Scientist

A little bit about us Founded in 2016, Coding Ninjas is one of the largest online coding EdTech companies in India. Imparting knowledge is of utmost importance to us and it is our mission to bridge the skill gap between colleges and industry. We teach 50,000+ students annually through our online platform with an aim to help college students and working professionals upskill themselves for rewarding employment prospects. Coding Ninjas was founded by Ankush Singla, Kannu Mittal and Dhawal Parate, dawning from an educational background of IITs and Stanford who bring onboard their rich working experience in companies like Amazon, Facebook, Cars24, and other top startups in India. As pioneers in EdTech, we are continuously working on curating student-centric learning programs and are progressing towards becoming the de facto coding education company in India. The company has raised more than 22 Million USD till date and is a subsidiary of InfoEdge ( IIMJobs, Jeevansathi,etc.) with the latter, acquiring a majority stake in Coding Ninjas. With our exhaustive learning programs, 1:1 mentor support for effective doubt resolution and over 400+ doubts being resolved per hour, our focus lies on crafting learning experiences that equip candidates with learning, application and demonstration of capabilities in the software development domain. Job Description We are seeking an experienced Data Analytics Mentor to lead and guide learners in our contract-based Data Analytics Online Masterclass. The ideal candidate has strong analytical expertise, hands-on experience with industry-standard tools, and the ability to simplify concepts for learners at different levels. Responsibilities Conduct live, interactive masterclass online sessions on Data Analytics.Mentor learners on real-world applications, frameworks, and tools.Teach core concepts such as data cleaning, exploratory analysis, visualization, dashboards, and data storytelling.Guide learners in using tools like Excel, SQL, Power BI, Tableau, Python (Pandas), and other analytics platforms.Assess learner understanding and update content based on insights.Ensure engaging, easy-to-understand explanations suitable for all levels. Requirements Strong hands-on experience in Data Analytics and BI tools.Expertise in Excel, SQL, Power BI, and Python, along with AI-enabled analytics Ability to explain analytical concepts in simple, practical language.Excellent communication, public speaking, and presentation skills.Ability to confidently handle and engage a live audience.Prior teaching, mentoring, or training experience is preferred.Availability as per the contract schedule. Preferred Background Working Professionals from MAANG, top tech startups, data-driven companies, analytics teams, AI startups, and unicorns across industries are preferred. Contract Details Duration: Based on the masterclass timeline.Compensation: Per session .Mode: Online - Live Sessions.

Coding Ninjas

Today

Product Analytics

We are seeking a highly skilled and motivated Assistant Manager candidate with strong domain knowledge in Data Analysis to join our growing team. Responsibilities Demonstrate strong analytical and statistical skills towards taking complex businessConduct, analyze, and deep dive into A/B tests and provide actionable recommendations on improving the product analytics features.problems, wide variety of quantitative data, and provide structured and data-supportedpractical solutions towards optimizing shipping problems.Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently.Required skills B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc4 to 7 years of relevant Product analytics experience - Strong analytical skills with expertise in SQL, and Excel.Proficiency in Python hands-on A/B testing, Experimentation Very good ability with Quant (prior experience in Business performance analytics roles - good to have).Good communication skills, with experience working in a fast-paced environment with cross-functional teams.Strong in Tableau prior exp in handling large datasets Good to have:Should know how Search, Ads, Payments, Trust, Risk engine works in product org.Proven track record of turning insights into growth opportunities in prior roles with increasing scope and responsibilities.Ability to present complex analyses and insights effectively in simple terms.Good experience with both descriptive and inferential statistics.Experience in a leading technology company.Background in e-commerce product experience.Experience with Natural Language Processing or LLM/GenAI is a plus We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

LatentView Analytics

Today

Senior Manager - Customer Service Analytics & Product Strategy

About noon We're building an ecosystem of digital products and services that power everyday life across the Middle East-fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we're looking for a Senior Manager, Business Intelligence who can help us move even faster. noon's mission: Every door, every day. What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. We are seeking a senior professional who began their career in Business Intelligence and has evolved into a broader operations or product-driven role. This position requires an individual with strong analytical depth who can translate data into actionable product enhancements, operational improvements, and scalable CS solutions. The ideal candidate brings several years of hands-on BI experience paired with demonstrated leadership in driving product initiatives, partnering with engineering, and shaping customer experience strategies in a large-scale e-commerce environment. 1. Customer Service Analytics & Insights (BI Focus)Lead the end-to-end analytics function for CS, including data modelling, dashboarding, forecasting, root-cause analysis, and deep-dive performance insights.Build and maintain scalable BI frameworks across key CS metrics (AHT, NPS/CSAT, Contact Drivers, SLA performance, First-Contact Resolution, Leakage).Partner with Ops, Product, Tech, and CX teams to translate insights into measurable business outcomes.Establish a data governance model to ensure data integrity, availability, and accuracy across multiple systems. 2. Product Ownership & StrategyAct as a product owner for CS tools, workflows, and automation initiatives-defining requirements, writing PRDs, and prioritizing the roadmap based on business impact.Collaborate with engineering and product teams to develop and enhance CS platforms including CRM, BOT/IVR, contact routing, QA tools, and agent productivity modules.Drive continuous improvement in customer journeys by identifying friction points and enabling tech-driven solutions.Lead experimentation (A/B testing, feature rollouts, pilots) to validate product hypotheses and quantify impact. 3. Operational Excellence & TransformationPartner with CS operations leadership to optimize processes, improve efficiency, and reduce cost-to-serve through data-backed recommendations.Own strategic initiatives such as contact reduction, automation, proactive issue detection, and VOC (Voice of Customer) deep-dives.Serve as a bridge between CS Ops, Product, and Tech to ensure seamless implementation of new tools, processes, and capabilities.Lead program governance for large-scale initiatives, including project planning, risk management, stakeholder alignment, and executive reporting. 4. Stakeholder Management & LeadershipPresent insights, business cases, and strategic recommendations to senior leadership.Partner cross-functionally with Logistics, Catalog, Pricing, Engineering, Quality, and Marketplace teams to influence upstream improvements.Manage and mentor a team of BI analysts, data specialists, or product associates as required.Create a culture of data-driven decision making across the CS organization. What you'll need:8+ years of progressive experience across Business Intelligence, Analytics, Product, or CS technology functions.Strong BI foundation with advanced skills in SQL, data modelling, visualization tools (Tableau/Power BI/Looker), and statistical analysis.Proven experience translating data insights into product requirements and operational improvements.Strong understanding of large-scale e-commerce workflows, customer journeys, and CS ecosystems.Experience working with engineering and product teams and testing new development in an agile environment.Strong problem-solving, stakeholder management, and communication skills. Preferred QualificationsPrior experience in Customer Service for e-commerce, marketplaces, or high-transaction B2C environments.Exposure to CRM systems (Zoho, Freshdesk etc), automation/BOT platforms, and contact center technologies.Experience managing or influencing cross-functional teams with strong cross-functional alignment and predictable program execution.Ability to balance long-term strategic thinking with hands-on execution.Increased automation and self-service adoption.Reduction in contact drivers and improvement in CSAT/NPS. Who will excel?We're looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action. We need people with the courage to be fiercely original. noon is not for everyone; readiness to adapt, pivot, and learn is essential.

noon

Today

Analytics Manager - Noon Food

About noonnoon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now marketplaces for food delivery, quick commerce, fintech, and fashion. noon is a work in progress; we're six years in, but only 5% done. noon's mission: Every door, every day About noon FoodNoon Food is a restaurant-first platform on the noon app, offering fair commissions, a sustainable program, and operating flexibility for the food and beverage industry in the Middle East. The most recent addition to the noon ecosystem, the noon Food mission is to revolutionize the F&B delivery landscape, firmly putting the control and success back in the hands of retailers. What you'll do: Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. Act as a proactive problem-solver by continuously analyzing data to identify emerging business challenges and opportunities across customer segments, markets, and productsAnalyze every stage of the customer journey-from acquisition to engagement, retention, and monetization-to identify points of friction and design strategies to improve funnel performance.Design and evaluate A/B experiments to validate hypotheses and support product or growth decisions. Partner with relevant teams to ensure experiments are run with scientific rigor and deliver meaningful results.Continuously look for ways to improve analytics processes-enhance tools and infrastructure, make data more accessible, and streamline reporting for better efficiency and impact.Drive regular business review with stakeholder, contribute to strategy planning What you'll need: Bachelor/Master degree in Engineering, Mathematics, Physics, Computer Science or equivalentMinimum 4+ years of experience in Analytics / Strategy / ConsultingExcellent data analysis skills (investigation, modeling, mapping & gap analysis)Knowledge of Tableau/Power BI and other business intelligence and analytical toolsExpert in SQL (must) / Python / R / SASAble to develop, test, and deploy models on cloud / webExperience in handling large datasets - Expert data modeling skillsStrong knowledge of fundamentals, including funnel analytics, customer segmentation, user activity modeling, churn analytics and A/B testing.Strong problem-solving capabilities- able to conceptualize, organize, simplifyAbility to own projects end-to-end: building out timelines, key milestones, provide regular updates to stakeholders and delivery against agreed upon specsAbility to adapt in the dynamic and fast-paced environmentExcellent verbal and written communication skills. Who will excel? We're looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

noon

Today

Assistant Manager- C&B and HR Analytics

Job Title: Assistant Manager - C&B and HR Analytics Reports To: India Lead - C&B and HR Operations Position Focus:Design and execution of compensation and benefits strategies & programs that align with business goals, ensuring market competitiveness and internal equity. This role is pivotal in driving data-led decision-making across the HR functions in GCCs, Plant Operations and Corporate Offices by leveraging analytics skills and platforms Scope:Partner with HRBPs / Region/India Leadership to develop compensation programs / solutions that align with organizational goals and talent strategies in a growing organization. Develop appropriate salary structures based on job families to monitor the level and effectiveness of pay to ensure internal equity and external competitiveness.Conduct market intelligence and analysis to ensure competitive compensation practices for new hires while onboarding and existing talent in annual salary reviews, bonus cycles and promotion processesOversee headcount and labor cost reporting. Partner with the Finance function to drive alignment with all budgets and forecasts.Design & implement employee benefit programs for GCCs, Plants and Corporate offices, including employee insurance for a superior employee experienceHR Analytics: Implement automated reporting and analytics models in HR KPIs, C&B, and other Talent Management KPIs, e.g. Succession Planning, Attrition, Employee Listening, Learning & Development, Career progression, Diversity & Inclusion etc. Prepare and present reports on compensation trends, program effectiveness, and budget impactsLead annual budgeting and salary forecasting with HR and Finance.HRIS: Key contact person and support for SAP SuccessFactors in India. Accountable for data integrity to include quality, accuracy, compliance, and usability of employee data and related interfaces, by implementing adequate controls and audits. Conduct regular SAP SuccessFactors training to ensure end user has the necessary skills and knowledge to fully utilize the system.Identify opportunities for process improvements and enhancements to compensation and benefits programs.Ensure compliance with all relevant laws and regulations regarding compensation practices. Education: Bachelor's or Master's in HR or Business Management. Experience: 5 years in C&B / Total Rewards in global MNCs Skills:Strong analytical capabilities, hands-on experience with compensation benchmarking, budgeting, and cycle management, and a deep understanding of total rewards frameworksWorking knowledge of SuccessFactorsAdvanced Excel & Presentation skillsStrong analytical and communication abilitiesAbility to work independently with a high drive for results and employee-centric approach

Lear Corporation

Today

Sr Manager - MIS & Data Analytics

IGT Solutions (IGT) is committed to simplifying complex customer interactions while delivering a seamless experience. IGT provides integrated BPM, Technology and Digital Services & Solutions for clients across industries. IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing (end-to-end) CX journeys across Travel and Hi-tech industries. Position Overview The MIS & Data Analytics Manager will be responsible for leading organizational reporting, data management, and analytics initiatives. The role combines strong MIS competencies with advanced analytical capabilities to support strategic decision-making. This includes developing dashboards, automating reports, analyzing trends, and establishing governance over data processes. Knowledge of Oracle systems is preferred. Key Responsibilities MIS Reporting & Dashboard Management Lead the creation and distribution of all daily/weekly/monthly MIS reports across business functions.Build and maintain dashboards that track KPIs such as productivity, financial performance, operational efficiency, and manpower metrics.Establish reporting calendars, templates, and quality checks to ensure accuracy and consistency.Collaborate with leadership to refine report formats and improve data storytelling. Data Analytics & InsightsAnalyze complex datasets to identify trends, patterns, and business opportunities.Develop predictive models, performance insights, and scenario analyses to support strategic planning.Conduct root-cause analysis on operational challenges and recommend data-driven actions.Translate analytical findings into clear, actionable business recommendations. Automation & System EnhancementDrive automation of manual reporting processes using Excel (advanced), SQL, Power BI/Tableau, and other tools.Develop data models and ETL processes to streamline reporting workflows.Utilize Oracle ERP/HRMS/Fusion for data extraction, validation, and automated reporting (preferred).Work with IT/BI teams to enhance data warehouse structures, reporting tools, and system integrations. Data Governance & Quality ControlImplement data governance frameworks to maintain data accuracy, completeness, and integrity across systems.Define data dictionaries, SOPs, and audit trails for all MIS and analytics functions.Ensure secure handling of confidential operational and employee data.Support internal/external audits with accurate MIS datasets. Stakeholder CollaborationPartner with Operations, HR, Finance, and Business Leaders to understand reporting and analytics needs.Present insights, dashboards, and recommendations to senior management in a clear, concise manner.Act as a strategic advisor for business planning, forecasting, and performance measurement. Team Management & Capability BuildingLead and mentor a team of MIS and data analysts.Allocate tasks, review output quality, and ensure adherence to SLAs.Build capability in advanced analytics, BI tools, and reporting automation within the team. Qualification & ExperienceGraduate/Postgraduate in Data Analytics, Statistics, Commerce, Computer Science, Engineering, or related fields.8-10 years of experience in MIS, Data Analytics, or Business Intelligence roles, including 2-4 years in a managerial capacity.Experience in data-heavy industries (BPO, Shared Services, BFSI, IT, E-commerce, Manufacturing) preferred. Key AttributesHigh attention to detail and accuracy.Strong problem-solving approach and analytical curiosity.Ability to simplify complex data into actionable insights.Process-oriented with a continuous improvement mindset.High integrity when working with sensitive business data. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, colour, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

IGT Solutions

Today

IBM Planning Analytics (TM1) Support Engineer

Overview PepsiCo is embarked on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate "vertical" planning for Business Units (BUs) or markets, and "horizontal" planning for functions (e.g., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo organization.The Sustain Team for MOSAIC Solution is responsible for the delivery of high-quality break fixes and keep stability for the Mosaic markets which are live. Also, to ensure zero minimum critical incident from Production, coordinate and minimize the downtimes of Prod and non-Prod environments.The overall solution should be managed closely with our Business Support (Center of Excellence), various business teams (product owners and market teams) and other application support teams. The role will interact directly on the design/development of incident break fixes and maintenance of the solution and will have to work closely with the various detail design & development teams. This role will require a strong background in technical solutions which are part of Mosaic architecture such as TM1, Alteryx, Data Lake. Responsibilities The candidate needs to have a high degree of initiative to work independently and get things done in a complex matrix organization.Key Accountabilities Includes following for Mosaic Solution:Handle Incidents for Mosaic solution and strive for resolution of incidents within SLA.Subject matter expert (SME), responsible for resolving incidents and for continuous communication about incident status.Act as a resolver and communicate with the customer as required.Member of a technical, operations and application management team.Monitor the team's tickets queue for his service, self-assign tickets to him or directly work on tickets assigned by the Service Controller.Responsible for forwarding tickets that require a change to the Service Controller and manage the Change Management process for break fixes implementation.Handle tickets escalations to the Service Controller. QualificationsUniversity education (BS /BA level) or equivalent work experience4+ years of experience in TM1 Cognos Planning Analytics6+ years of Information Technology or business experience Technical SkillsIBM Planning Analytics ModelerIBM Planning Analytics Turbo-IntegratorIBM Planning Analytics Rules and FeedersIBM Planning Analytics Dimensions and CubesIBM Planning Analytics Excel PAfESQL, MySQLODBC driverSAP exposureService Now, Jira or other ticketing tools

PepsiCo

Today

Analytics Manager

Seniority Level: Mid-Level (5 - 8 years)Job Function: Advertising, Client ServicingEmployment Type: Full Time Role SummaryThe Manager - Media Analytics will convert complex media, digital and market data into actionable insights that shape both strategic and in-flight decisions. The role will partner closely with media planning, client servicing, deployment and finance teams to evaluate campaign performance, identify growth levers and improve investment effectiveness. A key part of the role will be building automation, dashboards and scalable reporting systems that reduce manual effort and enable data-led planning. The ideal candidate brings strong analytical thinking, the ability to simplify complexity and a passion for continuous optimisation. Key Responsibilities1. Performance measurement and insightingCollecting, analysing, and interpreting complex data sets from various sources, including databases, spreadsheetsCreating data reports and visualizations to provide insights and recommendations to stakeholders.Analyse cross-channel media performance to assess effectiveness against KPIs.Conduct deep dives across audience, platform, creative and geo.Translate data into clear insights and recommendations.2. Digital & marketing data automationDesign automated data pipelines and reporting solutions.Build dashboards in BI tools.Ensure data quality and consistency.Identifying opportunities for process improvements and optimization based on data analysis.3. Strategic planning support Support planning with data-backed inputs on budget, reach-frequency and ROI.Develop and execute test-and-learn roadmaps.4. Market & consumer analysisIntegrate media, market and consumer data to create holistic performance views.Interpret trends in brand metrics and market share.Build scorecards and tracking frameworks.5. Stakeholder ManagementAct as the go-to person for analytics and insights.Collaborate with cross-functional team across planning, client servicing, deployment, performance and BI teams to ensure accurate data collection and analysisDrive adoption of analytics tools and frameworks. Basic qualifications and skills5-6 years in media/digital/marketing analyticsProven experience with automating complex reportingStrong analytical skills and comfort with large datasetsProactive and highly organised with strong time management skillsAble to meet tight deadlines and work under pressureSelf-motivated and eagerness to learn new and different thingsCredible, confident and articulate, with good communication and presentation skills Preferred qualificationsFMCG or e-commerce category experienceUnderstanding of media and brand metricsExposure to MMM, incrementalityExperience with first-party data and CDPsKnowledge of SQL/Python/R and BI tools

Interactive Avenues

Today

Audit & Analytics Consultant

About Fort HillFounded in 2006, Fort Hill is a leading consultancy dedicated exclusively to "construction auditing". We support higher education institutions, healthcare systems, and industrial clients in strengthening financial integrity across large-scale capital projects. Our team combines deep construction expertise with rigorous financial oversight to help clients build with confidence. Position SummaryFort Hill is seeking a detail-oriented Audit & Analytics Consultant with up to five years of experience in contract audit & compliance. The ideal candidate brings a blend of analytical rigor, familiarity with construction documentation, and strong coordination skills."In this role, you will support management in evaluating billings, reviewing contractual compliance, validating financial submissions, and preparing audit deliverables. You will also work directly with clients, and project stakeholders to gather evidence and support findings. Key ResponsibilitiesAudit & Financial ComplianceAssist in conducting contract audits focused on cost verification and billing accuracy.Review supporting financial documents against construction related contract terms.Perform analytical tests to identify inconsistencies, or non-compliant charges. Reporting & Stakeholder CoordinationPrepare clear, detailed audit reports outlining findings, impacts, and recommendations.Coordinate with clients and internal teams to obtain required documentation and resolve queries.Communicate technical and financial information effectively to both technical and non-technical stakeholders.Utilize data analytics tools (Excel, Power BI, SQL, AI or similar) to streamline audit procedures.Support the integration of AI-enabled tools and digital solutions into the audit process. QualificationsRequired SkillsBachelor's degree in Finance, Construction Management, Civil Engineering, or a related field.5 years of experience in project management, cost analysis, audit compliance, or financial documentation review.Strong analytical skills with high attention to detail.Excellent communication, documentation, and stakeholder-coordination abilities.Proficiency in Microsoft Excel (advanced level); familiarity with Power BI, SQL, or similar tools is preferred. Good to haveKnowledge of audit frameworks such as COSO Internal Controls or GAO Yellow Book.Exposure to financial modeling (NPV, IRR, DCF) or cost-control systems. Why Join Fort Hill AssociatesWork with a team that values high-quality service, integrity, and long-term client partnerships.Gain exposure to major capital projects across education, healthcare, research facilities, and other sectors nationwide.Leverage advanced technology and analytics to enhance audit effectiveness.Enjoy opportunities for professional growth in a specialized and rapidly evolving field.

FORT HILL DAATA

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Director - Data Analytics & AI - Managed Services

Hi All Greetings from Live Connections! We have an urgent requirement on Director - Data Analytics & AI - Managed Services role with one of our MNC based company in Bengaluru Location. Please find the below job description and kindly share me your updated CV to Position Title: Director - Data Analytics & AI - Managed Services roleExperience Level: 20+YearsFull TimeNotice Period: Immediate to 3 MonthsLocation: Bengaluru, KA Technical Skills: Experience and knowhow of working with a combination/subset tools and technologies listed belowProficient with Data & Analytics architecture including modernization strategies and modern architectures like Data Lake, data fabric, Data MeshProficient with Data & Analytics strategies and Good experience working with Chief Data Office team to build roadmaps, strategies Strong understanding of Data & Analytics services cloud platforms (e.g., AWS, Azure, GCP) like AWS Glue, EMR, ADF, Redshift, Synapse, BigQuery etc and big data technologies (e.g., Hadoop, Spark).Hands on experience working with one of the native Data & Analytics services on AWS, Azure and/or GCP along with snowflake, Databricks and leading ETL tools and BI toolsProficiency in data analytics tools (e.g., Power BI, Tableau, QlikView), Data Integration tools (ETL, Informatica, Talend, Snowflake etc.) and programming languages (e.g., Python, R, SAS, SQL).Hands on with traditional Datawarehousing tools like Teradata, Netezza etcFamiliarity with machine learning, AI, and automation in data analytics.Certification in data-related disciplines preferred Regards,Sharmila

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