Job description

At MetLife, data isn’t just a tool – it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. We’re building the future of data – one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business – you’re empowering it. Let’s transform insight into impact and data into action, together. The MetLife Corporate Functions Data Office, part of the Data & Analytics Organization (D&A) within GTO, is responsible for delivering scalable data solutions that enable actionable insights and business outcomes. As part of MetLife's Reinsurance Modernization and FAIRR Data Hub initiatives, we partner with D&A teams, Technology, and Business stakeholders to design and deploy next-generation data platforms and capabilities that support MetLife's New Frontier strategy. We are seeking a Data Analyst who is passionate about data and understands its end-to-end lifecycle. This role will play a key part in enabling data-driven transformation across Reinsurance, Actuarial, Finance, and Corporate Functions, supporting the development of trusted data products, analytics solutions, and modern reporting capabilities. The ideal candidate will combine strong business acumen with hands-on technical expertise in analytics, SQL, Big Data, and Cloud technologies. The successful candidate will contribute to the FAIRR Data Hub ecosystem by helping establish a single source of truth for reinsurance data domains, including treaty, premium, claims, recoverables, financial, and operational data. This role will support data onboarding, profiling, quality assessment, reconciliation, governance, and business analytics initiatives that drive operational excellence, transparency, and regulatory compliance. • Work closely with business and functional analysts to develop functional and technical requirements documents for production-grade data and analytics solutions that drive MetLife’s business forward. • Support Reinsurance Modernization and FAIRR Data Hub initiatives through data analysis, requirements gathering, and solution design. • Partner with Reinsurance, Actuarial, Finance, Operations, Technology, and D&A teams to define and deliver scalable data and analytics solutions. • Analyze end-to-end reinsurance processes and develop business requirements, data mappings, process flows, and source-to-target technical specifications. • Collaborate with Data Architecture, Engineering, Governance, Modeling, Quality, and Data Science teams to ensure successful solution delivery. • Understand and Analyze end to end business processes and deliver detailed data flow diagrams. • Facilitate the interaction between the business and technical teams to ensure requirements are understood and solutions meet the requirements. • Support onboarding of treaty, premium, claims, recoverables, and financial data into the FAIRR Data Hub, ensuring data quality, governance, and traceability. • Validate and test solutions to ensure alignment with business requirements and expected outcomes. • Lead complex data analysis efforts, facilitate stakeholder discussions, and provide recommendations on data solutions and implementation approaches. • Mentor junior analysts, review deliverables, and promote best practices in data analysis and solutioning. • Contribute to AI-enabled analytics, reporting, and data-driven decision-making across the reinsurance value chain. • 5 – 7+ years of relevant experience in data analysis. • Bachelor’s degree in computer science, information technology, or equivalent educational qualification. • Excellent communication and structured problem-solving skills: demonstrated ability to document and explain complex system flows to both technical and non-technical audiences. • Experience in partner and stakeholder engagement. • Technical proficiency in data profiling, data validation, and data storage/retrieval principles for Azure, document databases, and relational databases. • Understanding of data warehouses, data marts, data lakes, and Medallion architecture. • Domain-based design, solutioning, and estimation experience. • Experience with data modeling tools such as Erwin. • Technical proficiency in SQL/NOSQL, Python • Experience in financial or insurance settings. • Experience with Databricks, serverless SQL, Data Governance, and Data Quality. • Appetite to learn new technologies and innovate. • Hands on AI experience. • Experience working in Agile environments and with cloud platforms. • Certification in relevant tools or platforms is a plus. #LI-WRAPJOB The expected salary range for this position is $90 ,000 - $118,000 . This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! For more information regarding MetLife’s U.S. benefits, please click here . About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, 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! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.

Requirements

Must-haves

Work closely with business and functional analysts to develop functional and technical requirements documents for production-grade data and analytics solutions that drive MetLife’s business forward.
Support Reinsurance Modernization and FAIRR Data Hub initiatives through data analysis, requirements gathering, and solution design.
Partner with Reinsurance, Actuarial, Finance, Operations, Technology, and D&A teams to define and deliver scalable data and analytics solutions.
Analyze end-to-end reinsurance processes and develop business requirements, data mappings, process flows, and source-to-target technical specifications.
Collaborate with Data Architecture, Engineering, Governance, Modeling, Quality, and Data Science teams to ensure successful solution delivery.
Understand and Analyze end to end business processes and deliver detailed data flow diagrams.
Facilitate the interaction between the business and technical teams to ensure requirements are understood and solutions meet the requirements.
Support onboarding of treaty, premium, claims, recoverables, and financial data into the FAIRR Data Hub, ensuring data quality, governance, and traceability.
Validate and test solutions to ensure alignment with business requirements and expected outcomes.
Lead complex data analysis efforts, facilitate stakeholder discussions, and provide recommendations on data solutions and implementation approaches.
Mentor junior analysts, review deliverables, and promote best practices in data analysis and solutioning.
Contribute to AI-enabled analytics, reporting, and data-driven decision-making across the reinsurance value chain.
5 – 7+ years of relevant experience in data analysis.
Bachelor’s degree in computer science, information technology, or equivalent educational qualification.
Excellent communication and structured problem-solving skills: demonstrated ability to document and explain complex system flows to both technical and non-technical audiences.
Experience in partner and stakeholder engagement.
Technical proficiency in data profiling, data validation, and data storage/retrieval principles for Azure, document databases, and relational databases.
Understanding of data warehouses, data marts, data lakes, and Medallion architecture.
Domain-based design, solutioning, and estimation experience.
Experience with data modeling tools such as Erwin.
Technical proficiency in SQL/NOSQL, Python
Experience in financial or insurance settings.
Experience with Databricks, serverless SQL, Data Governance, and Data Quality.

Nice-to-haves

Certification in relevant tools or platforms is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlaiazurepythonagile

Platform: avature
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness