Pune, Maharashtra, India
Information Technology
Full-Time
MetLife
Overview
Requirements
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
This role bridges business systems analysis and data analytics, supporting MetLife’s Data & Analytics initiatives. The individual will lead requirement gathering, data enablement, and analytical solutioning across global teams. The position demands strong technical expertise in ETL, SQL, data modeling, and visualization, with a focus on delivering scalable, production-ready solutions.
Job Responsibilities
Education
Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services.
At MetLife, it’s #AllTogetherPossible . Join us!
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
This role bridges business systems analysis and data analytics, supporting MetLife’s Data & Analytics initiatives. The individual will lead requirement gathering, data enablement, and analytical solutioning across global teams. The position demands strong technical expertise in ETL, SQL, data modeling, and visualization, with a focus on delivering scalable, production-ready solutions.
Job Responsibilities
- Translate business problems into analytical solutions with defined outcomes.
- Collaborate with data scientists, engineers, and business teams to design KPIs, wireframes, and hypotheses.
- Analyze and prepare data using SQL across platforms like Bigdata, Oracle, and Azure.
- Write functional requirements and transformation rules for ETL teams.
- Develop and validate SQL queries and stored procedures for dashboards.
- Capture metadata, data lineage, and data quality rules for governance.
- Present insights to stakeholders and drive solution adoption.
- Mentor junior analysts and review deliverables for quality assurance.
- Work with global, cross-functional teams to drive project delivery.
Education
- Bachelor’s degree in a technology/engineering field; Masters preferred
- 3-5 years of experience in data analytics and systems analysis.
- Proficiency in SQL, data profiling, and data modeling (Star/Snowflake).
- Experience with ETL validation, data warehouse concepts, and Big Data technologies (Azure, Hadoop).
- Strong communication and structured problem-solving skills.
- Familiarity with tools like Erwin and visualization platforms.
Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services.
At MetLife, it’s #AllTogetherPossible . Join us!
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