Technology Data Analyst

Job description

Description and Requirements The Team You Will Join 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 Opportunity 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.

Key Responsibilities

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.

Required Qualifications

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.

Preferred Qualifications

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 Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

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.