Top Data & Analytics Jobs

Support the Optimization team by collecting, mapping, cleaning, and analyzing business data; maintain project documentation and databases; attend meetings; collaborate with operations and sales teams to identify data issues and suggest improvements.

Support end-to-end consumer research: design and program surveys, monitor data collection, analyze results using Excel or statistical tools, conduct secondary research, and create a visually engaging report with recommendations for internal stakeholders.

Build, scale, and maintain data pipelines and transformation layers to ingest diverse sources, ensure data reliability and freshness, optimize data models and compute, create a semantic layer for self-service analytics, support BI reporting, collaborate with cross-functional leadership, and mentor analysts and scientists on engineering best practices.

The Analyst will support financial modeling, data analytics, strategic planning, and executive communication in payor negotiations. Responsibilities include building financial models, conducting data analyses, and presenting strategy insights to executives.

The Data Engineer will build and maintain scalable data pipelines, ensure data quality, and support a metadata-driven framework while collaborating with stakeholders.

Design, build, and maintain cloud data pipelines and governance on Databricks or Snowflake. Optimize Databricks clusters, implement Delta Lake, automate CI/CD with Azure DevOps, integrate with Azure services, and create monitoring and governance solutions.

Conduct quantitative analysis of financial markets using complex datasets; develop data exploration tools; support policy analysis and reports for senior Bank leaders; communicate findings via publications and presentations; maintain educational materials and collaborate with multidisciplinary teams to inform monetary policy and financial stability work.

Manage student and AmeriCorps member data collection, transformation, and reporting. Build and maintain data models and visualizations (Power Query/Power BI), administer assessment and Salesforce platforms, design training and resources, respond to data requests, and support cross-departmental stakeholders to monitor program impact and improve student outcomes.

The Staff Data Engineer will lead the architectural design and implementation of a compliant data platform, collaborating with multiple teams to ensure scalability, reliability, and security.

Lead HR reporting, dashboards, and workforce analytics using Oracle HCM and Power BI. Translate HR data into actionable insights, own reporting system enhancements (OTBI, BI Publisher), participate in SDLC, support data governance, mentor HRIS team members, and influence HRIS design to improve data quality and usability.