Top Data & Analytics Jobs

Develop, test, deploy, and support Azure-based ETL/ELT data pipelines using SQL, Python, or PySpark. Perform data ingestion, transformation, validation, modeling, quality checks, documentation, monitoring, and incident support. Apply security, privacy, lineage, retention, and regulatory controls to sensitive insurance data. Collaborate with engineers, analysts, application teams, security, and governance stakeholders in a multinational agile environment.

Leads customer insights and measurement initiatives by translating Voice of Customer, behavioral, operational, and business data into actionable recommendations. Defines cross-channel success metrics, governs measurement standards and instrumentation, develops automated dashboards and AI-powered insights, and drives closed-loop feedback processes. Partners with product, technology, operations, and business teams to influence priorities, improve digital experiences, and measure business impact.

Leads complex data management and analytics initiatives, including backlog refinement, solution design, database and ETL implementation, BI delivery, Agile ceremonies, and stakeholder coordination. Oversees data modeling, metadata, lineage, reference data, quality rules, anomaly detection, and governance. Consults with business, IT, architecture, ETL, BI, and data science teams to define requirements, technical designs, integrations, and enterprise data standards.

Leads MetLife’s India-based enterprise data engineering organization, overseeing data architects, engineers, platform engineers, and scrum leads. Responsibilities include setting data engineering roadmaps, designing scalable data architectures and platforms, directing ETL/ELT solutions, improving data governance and storage, and delivering trusted data products. The role also owns talent acquisition, team development, cultural transformation, stakeholder alignment, and strategic data-driven innovation across global financial services operations.

Support the Global Client Group with sales and pipeline analytics, dashboards, forecasting, and executive-ready reporting. Deliver data-driven insights, develop BI tools, and drive process improvements using AI, automation, and cross-functional collaboration to optimize sales and business performance.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.