Find Your Dream Analytics Job in India

Role Description

Are you a data engineer who loves building scalable AWS pipelines but also gets a thrill out of seeing your work directly impact business revenue and strategy?

We are looking for a hands-on Analytics Data Engineer to join our team in Mumbai. This isn't just a traditional data engineering role-it's a dynamic hybrid position that combines deep technical engineering and sharp business-analytics thinking.

Responsibilities

Data Engineering & Applications Architecture

• Build & Scale: Design, build, and maintain scalable data pipelines on AWS (S3, Glue, Lambda, ECS) and own end-to-end workflows (ingestion, transformation, orchestration).
• Backend & AI Tooling: Develop the backend infrastructure for analytical applications, dashboards, and cutting-edge AI tools.
• DevOps Ownership: Implement CI/CD pipelines, manage production releases, version control, and optimize system performance/monitoring.
• Enable the Business: Support real-time use cases (APIs, triggers, event pipelines) and build reliable consumption layers to enable self-serve datasets.

Business Problem Solving

• Business Analytics: Partner with business and sales team to translate complex business problems into data solutions, datasets or analytical products
• Drive Impact: Perform exploratory analysis to unlock actionable opportunities and suggest data-driven improvements for campaigns, targeting, and core processes.

Qualifications

The Core Tech Stack: Strong, hands-on expertise in Python, SQL, and AWS (S3, Glue, Lambda, ECS, CloudWatch).

Production-Grade Experience: A proven track record of building and deploying robust data pipelines, managing APIs, and setting up CI/CD workflows (Git). Experience on working on data-applications for mobile & websites is a plus!

The Analyst's Mindset: The ability to look past the code, understand the underlying business problem, and derive structured insights.

Mindset: A fierce sense of ownership, strong debugging/optimization skills, and a collaborative spirit.

Senior Data Scientist Client Analytics

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL and Power BI required.
• Hands-on experience on Data Science projects, developing Predictive / ML models is highly preferred.
• Experience in Adobe Analytics and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

• Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline
• Working knowledge of cloud enviornments

Senior Data Scientist Client Analytics

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Qualifications

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL and Power BI required.
• Hands-on experience on Data Science projects, developing Predictive / ML models is highly preferred.
• Experience in Adobe Analytics and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

• Advanced degree (Master's/PhD) in Statistics, Economics or other quantitative discipline
• Working knowledge of cloud enviornments

Job Overview:

The role is a contractual one and we're looking for a Data Science resource from India who will be directly involved in portfolio analytics. The selected employee will have to work onsite in Colombo, Sri Lanka during the contract period.

All initial international travel expenses will be provided by us.

Responsibilities and Duties:

Portfolio Analytics,

• Develop predictive solutions like segmentation/lookalike models for targeting of customers basis segments/persona, merchants.
• Identifying actionable insights through data driven analysis - e.g. Driving card activation to increase spends & engagement.
• Understand the client's business problems and develop data driven frameworks in line with their growth strategy.
• Devise analytical framework & strategies - e.g. Drive higher customer card spends across channels & corridors, etc.
• Provide project management oversight, including planning, execution, and monitoring of projects.
• Share timely project updates with stakeholders, ensuring clear and consistent communication throughout the project lifecycle
• Manage data science projects from conception through to deployment, ensuring timely and successful project delivery.
• Collaborate with cross-functional teams such as Product, Operations, and other stakeholders to understand their needs and provide data-driven insights.
• Communicate findings and recommendations to both technical and non-technical audiences.

Qualifications:

• Minimum of 6-8 years of work experience in Data science roles with at least 4 years of experience in BFSI.
• Working experience in Python and relevant libraries (e.g., pandas, scikit-learn, NumPy, Python environments).
• Working experience in SQL is mandatory.
• Working experience in building predictive models on large datasets & feature engineering.
• Working experience in developing models using XGBoost ML algorithm.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Strong ability to translate complex data into actionable insights.

About the Company

Our client Honda Digital Innovation India (HDII) is Honda's digital innovation arm in India, focused on building a customer centric digital business powered by data. HDII integrates two wheel and four wheel customer touchpoints into a unified platform, enabling personalized digital services, data driven marketing to maximize customer lifetime value and accelerate Honda's growth.

About the Role

We are looking for a Data Analytics Manager who will define and scale data systems, measurement frameworks, and decision infrastructure across Honda Digital Innovation India (HDII). This role operates at the intersection of analytics, data engineering, marketing and product strategy. You are responsible not just for insights but for ensuring that data is trustworthy, scalable, and embedded into every critical decision. You will lead how data flows from raw signals to metrics to decisions to business impact across products, platforms, and teams.

What will you do

Define and standardize north-star metrics, KPIs, and measurement frameworks across marketing and products

Design end-to-end analytics systems (tracking -> data models -> dashboards -> decisions)

Partner with Marketing and Product to build scalable data pipelines and reliable data layers

Establish data quality, governance, and metric consistency across teams

Lead cross-functional analytics initiatives influencing product roadmap and strategy

Build experimentation frameworks (A/B testing, causal analysis) for decision-making

Develop decision-grade dashboards and reporting systems

Manage and Mentor analysts and raise the bar on technical rigor and business impact

Core Skills

KPI design, funnel analysis, retention, LTV, attribution

Experimentation (A/B testing, hypothesis-driven analysis)

Strong ability to connect data insights decisions

Advanced SQL + Python

Data modeling (fact/dimension, event schema design)

Experience with modern data stack (e.g., BigQuery/Snowflake, dbt, Airflow)

Strong understanding of ETL/ELT pipelines and data workflows

Cross-functional influence (Product, UX, Marketing, Business)

Stakeholder alignment at senior levels

Building scalable systems and processes

Your Profile

10-15+ years in Data/Product Analytics (4+ years in managerial roles preferable)

Proven experience building scalable data systems and measurement frameworks

Strong technical depth + business understanding

Track record of influencing product and business decisions at scale

Experience in mobility / digital platforms is a plus

English required

Interested candidates can forward their cvs to

About the Company

Our client Honda Digital Innovation India (HDII) is Honda's digital innovation arm in India, focused on building a customer centric digital business powered by data. HDII integrates two wheel and four wheel customer touchpoints into a unified platform, enabling personalized digital services, data driven marketing to maximize customer lifetime value and accelerate Honda's growth.

About the Role

We are looking for a Data Analytics Manager who will define and scale data systems, measurement frameworks, and decision infrastructure across Honda Digital Innovation India (HDII). This role operates at the intersection of analytics, data engineering, marketing and product strategy. You are responsible not just for insights but for ensuring that data is trustworthy, scalable, and embedded into every critical decision. You will lead how data flows from raw signals to metrics to decisions to business impact across products, platforms, and teams.

What will you do

Define and standardize north-star metrics, KPIs, and measurement frameworks across marketing and products

Design end-to-end analytics systems (tracking -> data models -> dashboards -> decisions)

Partner with Marketing and Product to build scalable data pipelines and reliable data layers

Establish data quality, governance, and metric consistency across teams

Lead cross-functional analytics initiatives influencing product roadmap and strategy

Build experimentation frameworks (A/B testing, causal analysis) for decision-making

Develop decision-grade dashboards and reporting systems

Manage and Mentor analysts and raise the bar on technical rigor and business impact

Core Skills

KPI design, funnel analysis, retention, LTV, attribution

Experimentation (A/B testing, hypothesis-driven analysis)

Strong ability to connect data insights decisions

Advanced SQL + Python

Data modeling (fact/dimension, event schema design)

Experience with modern data stack (e.g., BigQuery/Snowflake, dbt, Airflow)

Strong understanding of ETL/ELT pipelines and data workflows

Cross-functional influence (Product, UX, Marketing, Business)

Stakeholder alignment at senior levels

Building scalable systems and processes

Your Profile

10-15+ years in Data/Product Analytics (4+ years in managerial roles preferable)

Proven experience building scalable data systems and measurement frameworks

Strong technical depth + business understanding

Track record of influencing product and business decisions at scale

Experience in mobility / digital platforms is a plus

English required

Interested candidates can forward their cvs to

Senior BI / Data Analytics Engineer in SAP BusinessObjects (SAP-BO - (WebI, IDT/UDT)

Location: India (Remote)

Position Type: Full-Time

To overlap with US EST timing (2 pm - 10 pm IST)

Sesheng LLC is seeking an experienced Senior BI and Data Analytics Engineer to design, develop, and support enterprise-grade reporting and data solutions. In this remote role, you will leverage SAP BusinessObjects and Snowflake to deliver reliable, high-quality analytics while partnering closely with our global business and data engineering teams. The ideal candidate brings a deep technical mastery of data warehousing, exceptional SQL skills, and a proven track record of transforming raw data into actionable business intelligence.

Key Responsibilities

• BI Development: Design, develop, and maintain complex reports and universes using SAP BusinessObjects (WebI, IDT/UDT).
• Data Modeling & Optimization: Craft and optimize robust data models, views, and advanced queries within Snowflake to ensure peak performance.
• Data Integration: Collaborate on ETL/ELT pipelines to efficiently load, transform, and orchestrate data into Snowflake.
• Data Quality & Support: Conduct end-to-end troubleshooting of data accuracy, system performance, and reporting bottlenecks. Support production issues, enhancements, and platform upgrades.
• Business Collaboration: Gather and translate complex business requirements into scalable, intuitive reporting solutions.
• Documentation: Maintain comprehensive documentation of data logic, schema transformations, and reporting architectures.

Required Skills & Qualifications

• Experience: 6-8 years of progressive experience in business intelligence, analytics, or data engineering roles.
• Core BI Expertise: Strong, hands-on technical proficiency with the SAP BusinessObjects suite (this is a primary screening requirement).
• Cloud Data Warehousing: Solid experience with Snowflake and expert-level SQL optimization skills.
• ETL/Data Integration: Proven experience working with data integration platforms (Matillion, Informatica, SSIS, Alteryx).
• Best Practices: Deep understanding of data warehousing concepts, dimensional modeling, and BI architectural best practices.
• Soft Skills: Strong analytical problem-solving capabilities with the ability to bridge the gap between technical execution and business strategy.

Nice to Have

• Direct experience with Matillion ETL.
• Exposure to enterprise ERP systems.
• Experience with modern visualization tools like Power BI.
• Cloud infrastructure familiarity with AWS or Azure.

Senior BI / Data Analytics Engineer in SAP BusinessObjects (SAP-BO - (WebI, IDT/UDT)

Location: India (Remote)

Position Type: Full-Time

To overlap with US EST timing (2 pm - 10 pm IST)

Sesheng LLC is seeking an experienced Senior BI and Data Analytics Engineer to design, develop, and support enterprise-grade reporting and data solutions. In this remote role, you will leverage SAP BusinessObjects and Snowflake to deliver reliable, high-quality analytics while partnering closely with our global business and data engineering teams. The ideal candidate brings a deep technical mastery of data warehousing, exceptional SQL skills, and a proven track record of transforming raw data into actionable business intelligence.

Key Responsibilities

• BI Development: Design, develop, and maintain complex reports and universes using SAP BusinessObjects (WebI, IDT/UDT).
• Data Modeling & Optimization: Craft and optimize robust data models, views, and advanced queries within Snowflake to ensure peak performance.
• Data Integration: Collaborate on ETL/ELT pipelines to efficiently load, transform, and orchestrate data into Snowflake.
• Data Quality & Support: Conduct end-to-end troubleshooting of data accuracy, system performance, and reporting bottlenecks. Support production issues, enhancements, and platform upgrades.
• Business Collaboration: Gather and translate complex business requirements into scalable, intuitive reporting solutions.
• Documentation: Maintain comprehensive documentation of data logic, schema transformations, and reporting architectures.

Required Skills & Qualifications

• Experience: 6-8 years of progressive experience in business intelligence, analytics, or data engineering roles.
• Core BI Expertise: Strong, hands-on technical proficiency with the SAP BusinessObjects suite (this is a primary screening requirement).
• Cloud Data Warehousing: Solid experience with Snowflake and expert-level SQL optimization skills.
• ETL/Data Integration: Proven experience working with data integration platforms (Matillion, Informatica, SSIS, Alteryx).
• Best Practices: Deep understanding of data warehousing concepts, dimensional modeling, and BI architectural best practices.
• Soft Skills: Strong analytical problem-solving capabilities with the ability to bridge the gap between technical execution and business strategy.

Nice to Have

• Direct experience with Matillion ETL.
• Exposure to enterprise ERP systems.
• Experience with modern visualization tools like Power BI.
• Cloud infrastructure familiarity with AWS or Azure.

Senior BI / Data Analytics Engineer in SAP BusinessObjects (SAP-BO - (WebI, IDT/UDT)

Location: India (Remote)

Position Type: Full-Time

To overlap with US EST timing (2 pm - 10 pm IST)

Sesheng LLC is seeking an experienced Senior BI and Data Analytics Engineer to design, develop, and support enterprise-grade reporting and data solutions. In this remote role, you will leverage SAP BusinessObjects and Snowflake to deliver reliable, high-quality analytics while partnering closely with our global business and data engineering teams. The ideal candidate brings a deep technical mastery of data warehousing, exceptional SQL skills, and a proven track record of transforming raw data into actionable business intelligence.

Key Responsibilities

• BI Development: Design, develop, and maintain complex reports and universes using SAP BusinessObjects (WebI, IDT/UDT).
• Data Modeling & Optimization: Craft and optimize robust data models, views, and advanced queries within Snowflake to ensure peak performance.
• Data Integration: Collaborate on ETL/ELT pipelines to efficiently load, transform, and orchestrate data into Snowflake.
• Data Quality & Support: Conduct end-to-end troubleshooting of data accuracy, system performance, and reporting bottlenecks. Support production issues, enhancements, and platform upgrades.
• Business Collaboration: Gather and translate complex business requirements into scalable, intuitive reporting solutions.
• Documentation: Maintain comprehensive documentation of data logic, schema transformations, and reporting architectures.

Required Skills & Qualifications

• Experience: 6-8 years of progressive experience in business intelligence, analytics, or data engineering roles.
• Core BI Expertise: Strong, hands-on technical proficiency with the SAP BusinessObjects suite (this is a primary screening requirement).
• Cloud Data Warehousing: Solid experience with Snowflake and expert-level SQL optimization skills.
• ETL/Data Integration: Proven experience working with data integration platforms (Matillion, Informatica, SSIS, Alteryx).
• Best Practices: Deep understanding of data warehousing concepts, dimensional modeling, and BI architectural best practices.
• Soft Skills: Strong analytical problem-solving capabilities with the ability to bridge the gap between technical execution and business strategy.

Nice to Have

• Direct experience with Matillion ETL.
• Exposure to enterprise ERP systems.
• Experience with modern visualization tools like Power BI.
• Cloud infrastructure familiarity with AWS or Azure.

Senior BI / Data Analytics Engineer in SAP BusinessObjects (SAP-BO - (WebI, IDT/UDT)

Location: India (Remote)

Position Type: Full-Time

To overlap with US EST timing (2 pm - 10 pm IST)

Sesheng LLC is seeking an experienced Senior BI and Data Analytics Engineer to design, develop, and support enterprise-grade reporting and data solutions. In this remote role, you will leverage SAP BusinessObjects and Snowflake to deliver reliable, high-quality analytics while partnering closely with our global business and data engineering teams. The ideal candidate brings a deep technical mastery of data warehousing, exceptional SQL skills, and a proven track record of transforming raw data into actionable business intelligence.

Key Responsibilities

• BI Development: Design, develop, and maintain complex reports and universes using SAP BusinessObjects (WebI, IDT/UDT).
• Data Modeling & Optimization: Craft and optimize robust data models, views, and advanced queries within Snowflake to ensure peak performance.
• Data Integration: Collaborate on ETL/ELT pipelines to efficiently load, transform, and orchestrate data into Snowflake.
• Data Quality & Support: Conduct end-to-end troubleshooting of data accuracy, system performance, and reporting bottlenecks. Support production issues, enhancements, and platform upgrades.
• Business Collaboration: Gather and translate complex business requirements into scalable, intuitive reporting solutions.
• Documentation: Maintain comprehensive documentation of data logic, schema transformations, and reporting architectures.

Required Skills & Qualifications

• Experience: 6-8 years of progressive experience in business intelligence, analytics, or data engineering roles.
• Core BI Expertise: Strong, hands-on technical proficiency with the SAP BusinessObjects suite (this is a primary screening requirement).
• Cloud Data Warehousing: Solid experience with Snowflake and expert-level SQL optimization skills.
• ETL/Data Integration: Proven experience working with data integration platforms (Matillion, Informatica, SSIS, Alteryx).
• Best Practices: Deep understanding of data warehousing concepts, dimensional modeling, and BI architectural best practices.
• Soft Skills: Strong analytical problem-solving capabilities with the ability to bridge the gap between technical execution and business strategy.

Nice to Have

• Direct experience with Matillion ETL.
• Exposure to enterprise ERP systems.
• Experience with modern visualization tools like Power BI.
• Cloud infrastructure familiarity with AWS or Azure.

About Us

ZEG India Pvt Ltd, a subsidiary of Zero-Emission Grid, LLC, specializes in planning and engineering sustainable power grids with a focus on decarbonization. Backed by more than 70 years of collective experience, ZEG’s rapidly growing team is dedicated to solving some of the most complex power grid challenges. We prioritize innovation, agility, and strong client partnerships to help advance the global energy transition.

At ZEG, mutual respect is fundamental to who we are. We recognize the importance of commitment and support in building a strong team and enabling individual growth. If you share our passion for the energy transition, are eager to challenge yourself, and value collaboration within a dedicated team, we invite you to explore our open positions and consider joining us on this journey. Together, we can help shape the future of sustainable power grids.

Position: (Senior) Engineer, Power Systems Analytics

Company: ZEG India Pvt Ltd

Job ID: IN202601281

Job Location : India

ZEG India continues to grow rapidly and is seeking a candidate to support our power systems analytics services. As a core member of the team, the ideal candidate will be organized, detail-oriented, personable, and professionally driven, with a strong interest in contributing to ZEG’s mission of decarbonizing the power grid. The candidate is expected to bring subject-matter expertise in

Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™.

Global Reach with a Local Touch

• 140+ years serving healthcare
• Over 14,000 teammates worldwide
• Serving healthcare partners in 80 countries
• Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland
• 40+ distribution centers
• Portfolio of 300 propriety and branded product offerings
• 1,000 branded medical product suppliers
• 4,000 healthcare partners served

POSITION SUMMARY

We are seeking a skilled and analytically driven Senior Data Analyst with 5–8 years of hands-on experience to join our analytics Centre of Excellence (COE). This role sits at the intersection of data analytics and procurement — the ideal candidate is proficient across the full data lifecycle (with a specific focus on procurement-related data), from raw data ingestion and clean

Senior AI/ML Scientist – Healthcare & Clinical Analytics

Location: Gurugram | Hyderabad | Bangalore | Pune | Navi Mumbai | Mohali | Panchkula

Work Model: Onsite (5 Days Working from Office)

Shift Timing: US Business Hours / Night Shift (Starting around 6:30 PM IST)

Compensation: Up to ₹32 LPA

About the Role

We are hiring experienced Data Science professionals with strong exposure to healthcare and clinical research analytics to work on advanced AI/ML initiatives supporting global pharmaceutical programs.

This opportunity is ideal for candidates who have hands-on experience working with clinical or biomedical datasets and enjoy solving complex business problems using machine learning, statistical modeling, and large-scale data engineering techniques.

Key Responsibilities

• Design and implement advanced analytics and machine learning solutions for healthcare and life sciences use cases.
• Analyze structured and unstructured clinical datasets to generate actionable insights for research and development initiatives.
• Collaborate with cross-functional teams including clinical operations, biostatistics, medical affairs, and business stakeholders.
• Develop predictive models, statistical frameworks, and scalable analytical pipelines for real-world healthcare applications.
• Perform explor

Senior Data Analyst – Digital Products (AI & Advanced Analytics)

Location: Bengaluru, India (Local Candidates Preferred)

Role Type: Individual Contributor

Experience: 6–10 years

BrandSafway is a leading provider of specialty services to North America's energy markets. Its extensive portfolio of specialized industrial service offerings includes scaffolding, coatings, insulation, refractory, forming & shoring, cathodic protection, mechanical services and other related crafts. The company also serves the infrastructure and commercial markets throughout North America and in strategic international regions. Brand operates in five key market segments: Upstream/Midstream, Downstream, Power Generation, Industrial and Infrastructure.

Role Overview

The Senior Data Analyst – Digital Products will lead advanced analytics and AI initiatives in close partnership with Sales and Growth stakeholders . This role applies statistical modeling, machine learning, and generative AI to solve complex commercial problems and enable scalable, data-driven digital capabilities.

Key Responsibilities

• Own complex analytics and AI initiatives supporting Sales and Growth objectives
• Design, build, and deploy machine learning models (predictive, classification, optimization)
• Develop and apply Generative AI / LLM solutions for comme

Role: Salesforce CRM Analytics (Einstein Analytics)

Exp: 5 to 10 years

Location: Bangalore/Hyderabad/Pune/Gurugram

Mode of work: Hybrid

Job Description:

• Strong hands-on experience with Discovery Studio and Analytics Studio
• Proven expertise in data management, including data preparation, transformation, and governance.
• Experience or certification in Business Intelligence (BI), ETL tools, CRM Analytics, and reporting platforms.
• Proficient in leveraging data visualization and analytics tools such as Tableau, Salesforce CRM Analytics (Einstein Analytics), Power BI, Birst, etc., to generate actionable insights.
• Skilled in data preparation techniques, including data wrangling, manipulation, and ETL processes.
• Acts as a functional expert in CRM Analytics (CRMA) applications and capabilities
• Strong understanding of Sales, Service clouds
• Demonstrate and implement numerous capabilities such as multi-source data pull, data blending, table calculations, advanced calculated fields, advanced statistical analysis, guided analytics, custom coding, etc.
• Advanced proficiency in SQL, with the ability to work on complex queries and multi-source data integration.
• Good understanding of dashboard design principles and user experience (UX) for both desktop and mobile platforms.
• Competency in reading and writing Salesforce Analytics Query Langua

The Senior Manager – Financial Analytics will be responsible for driving data-driven financial insights, strengthening MIS frameworks, and enabling performance tracking across lending businesses. The role will support senior leadership with high-quality analytics, forecasting, and strategic inputs to optimize portfolio performance, profitability, and risk-adjusted returns.

Key Responsibilities

1. Financial Analytics & Portfolio Insights

• Conduct detailed financial and operational analysis across loan portfolios (Retail/MSME/Corporate as applicable).
• Analyze key NBFC metrics such as Net Interest Margin (NIM), Yield, Cost of Funds, Credit Cost, IRR, ROA, ROE , and portfolio profitability.
• Provide insights on disbursements, collections, delinquencies, and asset quality trends (PAR, NPA, write-offs).
• Evaluate product-level profitability and customer segment performance.

2. MIS, Reporting & Dashboarding

• Own and manage end-to-end MIS preparation for business units and senior management.
• Develop and automate periodic reports (daily/weekly/monthly) covering:
• Business volumes (sanctions, disbursements)
• Collections efficiency
• Portfolio quality (DPD buckets, GNPA/NNPA)
• Design intuitive dashboards for leadership using visualization tools.
• Ensure accuracy, timeliness,

Organization:

At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title : Chapter Area Lead Advanced Analytics - Business Banking

Location: Bangalore

Business:

The BB Data and Analytics team is accountable for leading the Business banking data and advanced analytics agenda by ensuring we consume and protect the best data assets to achieve our organizational vision of NPS 30+ and drive driven decisions.

BB Data and Advanced Analytics is a team of highly skilled Data and Advanced Analytics professionals who work collaboratively to achieve our vision of building a brighter future for our customers using Data, Advanced Analytics and Artificial Intelligence across the Retail Bank.

Team:

The BB Chapter for data, insights and advanced analytics, has the responsibility for supporting and developing the analytics capability of the team towards the advanced analytics and leading the data team

Impact & contribution:

The EM Data and Adv

Location : Hyderabad, Chennai, Coimbatore, Bengaluru

Exp Required: 2-4 Years

Skills Required: Google Analytics GA4, Google Tag Manager, Reporting & Insights

Join us at OGS

We are OGS-Omnicom's Integrated Solutions Engine that brings together a global talent community and connected capabilities in data, creative, media, commerce, and technology to build adaptive, future-ready solutions.

We are redefining the global capability center - not as an offshoring hub, but as a true inside edge. OGS is the place where the future is tested, built, and scaled for the world’s most ambitious agencies and clients.

With over 4300+ talented professionals in India , we are proud to be a diverse, inclusive, and collaborative community that thrives on innovation and excellence. Our teams work with some of the world’s most iconic brands, helping them move faster and achieve more—everywhere. We are growing rapidly and looking for passionate individuals to be part of this journey.

Let us build this, together!

About the role:

This exciting role of a Analytics Implementation - Analyst requires you to plan, manage and prioritise timely delivery of complex digital analytics solutions for our global brands. Your expertise of ad tech and digital analytics solutions would make you a great fit for this position. This is a great opportunity to

Location : Hyderabad, Chennai, Coimbatore, Bengaluru

Exp Required: 2-4 Years

Skills Required: Google Analytics GA4, Google Tag Manager, Reporting & Insights

Join us at OGS

We are OGS-Omnicom's Integrated Solutions Engine that brings together a global talent community and connected capabilities in data, creative, media, commerce, and technology to build adaptive, future-ready solutions.

We are redefining the global capability center - not as an offshoring hub, but as a true inside edge. OGS is the place where the future is tested, built, and scaled for the world’s most ambitious agencies and clients.

With over 4300+ talented professionals in India , we are proud to be a diverse, inclusive, and collaborative community that thrives on innovation and excellence. Our teams work with some of the world’s most iconic brands, helping them move faster and achieve more—everywhere. We are growing rapidly and looking for passionate individuals to be part of this journey.

Let us build this, together!

About the role:

This exciting role of a Analytics Implementation - Analyst requires you to plan, manage and prioritise timely delivery of complex digital analytics solutions for our global brands. Your expertise of ad tech and digital analytics solutions would make you a great fit for this position. This is a great opportunity to

*****Senior SAP Analytics Functional Consultant*****

Hi,

We are looking for a Senior SAP Analytics Functional Consultant with 10+ years of overall experience and 5+ years in SAP Analytics (SAC/Datasphere) to support enterprise analytics initiatives across Finance and Operations.

This is a techno-functional role (non-development) focused on bridging business requirements with technical delivery teams.

Role-Senior SAP Analytics Functional Consultant

Duration- 6 months (with possible extension)

Location-India

Work Mode-Remote

Workload-5 days a week

Required Skills & Experience

10+ years of overall experience, with 5+ years in SAP Analytics (SAC / Datasphere or similar)

Strong understanding of analytics, reporting, and data modelling concepts

Experience with SAP Analytics Cloud (SAC) and/or SAP Datasphere (functional perspective)

Solid knowledge of CDS views, SAP tables, and data structures

Proven ability to convert functional requirements into technical specifications

Exposure to Finance and Operations analytics use cases

Excellent stakeholder management and communication skills.

If you are interested, please send me your updated CV to hali@redglobal.com for immediate consideration or if you have