Top Data & Analytics Jobs

Provide consultative reporting and analytics for large Group Benefit Solutions clients, translate claims data into actionable insights, develop and present recommendations, build new reporting capabilities, collaborate with underwriting and account teams, troubleshoot data issues, and support operational improvement and analytics projects.

The Senior Associate will leverage financial planning and risk management expertise to analyze models, perform investment performance analysis, and enhance strategic planning by managing portfolio risks. Requires a Master's degree and relevant experience in quantitative financial modeling, with a focus on optimizing data processes.

The Senior Associate will analyze business needs, translate them into technical requirements, and collaborate with teams on enterprise-scale tech solutions, primarily in life insurance operations.

Lead a small second-line team providing independent oversight of enterprise data governance. Assess governance frameworks, data ownership, quality controls, risk identification, and regulatory alignment. Deliver actionable insights to senior management, partner with first-line teams to improve governance maturity, and validate controls and issue management practices across the firm.

The Data Governance and Stewardship Lead will develop and implement a data governance framework, ensuring data quality and compliance, and collaborating with business and technology teams.

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

Lead design and delivery of scalable analytics engineering solutions: build dbt transformation pipelines on Databricks/Postgres/BigQuery, develop tested dimensional models and feature tables, implement data quality and governance, improve SDLC and CI/CD, create reusable dbt patterns and semantic metrics, and engage stakeholders to translate requirements and mentor junior engineers.

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

Design, build, and maintain data transformations and models using SQL and dbt to support enterprise reporting and AI initiatives. Implement data quality controls, create analytics datasets, and collaborate with engineering and business teams to deliver trusted dashboards, metrics, and information products.

Design, build, and maintain scalable dbt transformation pipelines and analytical data products on cloud platforms. Own data product lifecycle from source alignment and modeling to deployment, testing, monitoring, and governance. Implement automated data quality, observability, and metadata practices; develop reusable macros and semantic-layer assets. Collaborate with stakeholders, mentor peers, and promote analytics engineering standards to support reporting, advanced analytics, and AI use cases.