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 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:

Data Analyst plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical, SQL, Big Data and Cloud expertise. This role mentors Data Analysts. It is an individual contributor role, expected to solve wide ranging business problems

Job Responsibilities

• Understand business requirements to author functional requirements documents to develop and deliver production grade data and analytics solutions.
• Analyze data in the context of business processes, business and functional requirements
• Provide relevant inputs to data architecture, engineering, governance, modeling, quality and data science teams
• Validate the data loaded by engineering team
• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, BI & insights)
• Mentor Data Analysts
• Independently lead design, solutioning & estimations

Knowledge, Skills and Abilities

Education

• Bachelor's degree in computer science, information technology or equivalent educational qualification

Technical Skills and Ex

• 8-10+ years of relevant experience
• SQL, data profiling, data validation, data storage and retrieval principles for Azure, Hadoop, document databases and RDMBS databases
• Data warehouses, data marts, data lakes, Medallion architecture
• Communication and structured problem-solving skills.,
• Domain based design
• Mentorship experience
• Storytelling skills, Partner & Stakeholder engagement experience

Good to Have (Preferred)

• Data modeling tools such as Erwin
• Databricks, serverless SQL
• Data Governance, Data Quality
• Exposure to Gen AI technology and tools
• Banking Financial Services and Insurance domain knowledge

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, 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.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

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 our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!