Find Your Dream Data Analytics Job in India

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.

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.

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

RECRUITING FOR - NON TEACHING POSITION - JUNIOR FACULTY TEACHING ASSISTANTS (Non-Teaching; Only Tutorials) - DATA ANALYTICS & OPERATIONS

NON TEACHING - Junior Faculty / Teaching Assistants (Non-Teaching; Only Tutorials)

Key Responsibilities

• Attend the weekly lectures conducted by the course instructors; ensure resource provision for the same
• Record attendance of the class for all sessions;
• Grade all assignments and exam answer books and establish the final grades for the students in their section(s);
• Conduct tutorials as scheduled
• Classes may be held on weekdays or weekends (subject to compensatory leave for having worked on a scheduled holiday)
• Any other teaching/learning tasks as deemed fit by Program Office – such as examination invigilation; attending presentation based student assessments etc.
• Assisting faculty members in different research activities, such as data collection; data cleaning; data analysis; proposal/report writing etc.

Qualifications

• Candidates should have postgraduate qualification in DATA ANALYTICS & OPERATIONS
• This is an Entry level position
• Prior experience of 2 – 4 years is a maximum must
• Research and Teaching Assistance Experience in Business Schools of repute will be given preference
• Those enro

About Inspire Brands:

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Senior Analyst – Analytics / Finance:

This position is critical to understanding brand business performance in order to help develop strategies and recommendations to inform future brand direction. The expectation is that this individual will report on information critical to business insights and decision-making. The Analyst on the International Finance team will be a key resource for the brand in answering business questions efficiently and effectively for all cross-functional partners.

Responsibilities:

• Insight Generation – Generate insights that improve the business through linking vari

How is this team contributing to vision of Providence?

The Integration & Cloud Infrastructure team plays a critical role in enabling Providence’s vision of delivering seamless, secure, and connected healthcare experiences. By ensuring the availability, performance, and reliability of our integration platforms—particularly Corepoint—the team ensures clinical data flows efficiently across systems, supports caregivers with timely insights, and enhances patient care outcomes.

This team accelerates cloud modernization, strengthens interoperability, and lays the technical foundation for scalable, next-generation digital healthcare solutions.

Required Skills & Qualifications

• 4–9 years of experience in Data Analytics / Data Engineering roles
• Strong hands-on experience with Snowflake, Data bricks, Power BI
• Advanced proficiency in SQL
• Experience with ETL/ELT tools and data integration frameworks
• Strong understanding of data warehousing concepts , dimensional modeling, and analytics design
• Knowledge of cloud platforms such as Azure
• Familiarity with Python or similar scripting languages is a plus
• Good problem-solving, analytical, and communication skills

Good to Have

• Snowflake certifications
• Experience with real-time or near-real-time data process

At ArihantPlus, we’re building a smarter, more personalized investing experience — powered by data, behavior intelligence, automation, and AI-driven customer engagement.

We’re looking for a Customer Data Analytics & Engagement Specialist (CleverTap) who can build and scale our complete customer engagement ecosystem from the ground up.

This is not just a campaign management role.

This is a builder’s role.

You’ll own how millions of users experience ArihantPlus across the entire lifecycle — from onboarding and activation to retention, re-engagement, and advocacy. You’ll combine analytics, product thinking, automation, and customer psychology to drive meaningful engagement at scale.

Location: Indore / Mumbai

Experience: 3–8 Years

What you’ll do:

Customer Data & Event Architecture

• Design and implement complete CleverTap event architecture across App, Web, APIs, and backend systems

• Define and manage user events, event properties, user properties, identity resolution, and tracking taxonomy

• Work closely with Product and Engineering teams for SDK implementation and event instrumentation

• Ensure event governance, accuracy, consistency, and scalability across platforms

• Audit and optimize event tracking frameworks continuously

User Behavior Analytics

• Analyze onboarding journeys, feature adoption, engagement

About Us:

Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the world’s leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,100 locations in more than 50 markets. The Group has over 160,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.

The Group aims to “be the world’s most trusted financial group” through close collaboration among our operating companies and flexibly respond to all of the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFG’s shares trade on the Tokyo, Nagoya, and New York

stock exchanges.

MUFG Bank, Ltd. is Japan’s premier bank, with a global network spanning more than 50 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments and individuals worldwide.

In Asia, MUFG has a presence across 20 markets – Australia, Bangladesh, Cambodia, China, Hong Kong, Indonesia, India, South Korea, Laos, Malaysia, Mongolia, Myanmar, New Zealand, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand and Vietnam.

It has also formed strategic partnerships with some of the most prominent banks in Southeast Asia, further augmenting its unrivalled network across the region – Viet

$2.5B+ analyzed | $500M+ transacted | 2,300+ logistics partners globally | 80,000+ routes | 10+ countries. Backed by Shell, Flipkart (Walmart) and Carnegie Mellon USA Alumni

And we’re just getting started.

THE ROLE

We're hiring founders at heart and data rockstars who want to build new ventures within LogisticsNow, drive impact using data, and scale 10x. Whether you love solving billion-dollar logistics challenges through code, insights, and models—or dream of building your own company—this is your launchpad.

WHO YOU ARE

✅ You’re part builder, part analyst, part growth hacker

✅ You love ownership!

✅ You’ve been customer facing, built trust, launched products, or cracked data into gold

✅ You think in AI: dashboards, Python scripts, and GTM playbooks

✅ You're hungry to solve for a Trillion $ industry and scale globally

WHAT YOU'LL DO

• Build new business lines & growth experiments inside LogisticsNow
• Analyze Billion $+ of freight data, benchmark logistics costs & emissions
• Turn raw data into insights, insights into product ideas, and ideas into scale
• Lead internal product/data projects or customer-facing transformations
• Work closely with CXOs, ops, and engineers to shape decision-making
• Build predictive models, dashboards, and case studies th

Are you passionate about Data Analytics, teaching, and mentoring future professionals? Join SkilloVilla and help shape the next generation of data experts!

Location: Jaipur, Rajasthan (On-Site)

⚡ Preferred: Immediate Joiners

Employment Type: Full-Time

What You’ll Do :

• Deliver engaging training sessions in Data Analytics & Data Science
• Teach tools like SQL, Python, Tableau, Power BI, Excel & Statistics
• Mentor students through real-world projects and career guidance
• Help learners become industry-ready with hands-on practical exposure
• Support placement preparation including resume reviews & interview prep

What We’re Looking For :

• Bachelor’s / Master’s / Ph.D with 2+ years of experience in Data Analytics, Data Science, or related fields
• Strong expertise in Python, SQL, Tableau, Power BI, Excel, Statistics
• Knowledge of Pandas, NumPy, Scikit-learn, TensorFlow & ML concepts
• Excellent communication and mentoring skills
• Passion for teaching and creating impact

Why Join Us?

• Work directly with experienced industry leaders
• Fast-growing ed-tech startup with huge career growth opportunities
• ESOP benefits based on performance
• Collaborative and innovative work culture
• Opportunity to make a real imp

At Nouryon, our global team takes positive action every day, to reach higher goals collectively and individually. We create innovative and sustainable solutions for our customers to answer society’s needs – today and in the future.

Purpose of the Job

The Process Automation & Digital (PA&D) department is Nouryon’s global taskforce responsible for process automation and digitalization. Our projects ultimately lead to safer, leaner and faster operation of our assets. Data analytics are foundational for PA&D as it creates insight in improvement opportunities and solutions to materialize them. To accelerate our worldwide agenda, we are growing a Process Data Analysts team in Mumbai, India. This team will have a truly global scope, supporting all Nouryon plants worldwide. We currently seek a Process Data Analyst.

About the job (Job Responsibilities)

• Analyze production, process, and laboratory data from chemical plants to identify trends, correlations, and deviations using ML and AI techniques.
• Identify process improvement opportunities, by deep and multivariate analysis of historical process data
• Build predictive models for yield improvement, cycle time reduction, raw material consumption optimization, and quality forecasting.
• Build dashboards, alerts, and automated reporting for operational teams.
• Develop, deploy and maintain data-driven solutions using the tools in

Please Note:- Looking candidates from Big4 Firm

Overall Business Strategy:-

• Formulation and execution of the company's long-term business strategy.
• Work closely with senior leadership to align the strategy with overall organizational goals.
• Identify market trends, competitive forces, and business opportunities to inform strategic decisions.
• Own the annual planning cycle, including financial forecasts, resource allocation, and strategic priorities.
• Collaborate with various departments (e.g., finance, marketing, operations) to ensure alignment of strategic initiatives with business goals.
• Develop actionable plans based on company-wide objectives and key performance indicators (KPIs).
• Facilitate the review and reporting of progress against annual plans and adjust strategies as needed.

Program Management:-

• Lead and manage cross-functional programs and initiatives, ensuring they are executed on time and within scope.
• Develop clear program roadmaps, timelines, and resource plans to track progress and milestones.
• Monitor and report on the performance of key programs, ensuring alignment with strategic goals.
• Address any programmatic challenges and mitigate risks in collaboration with relevant stakeholders.

Unstructured Problem Solving:-

• Tackle complex, ambiguous problems and devise inno