Top Data & Analytics Jobs

The Data Researcher will collect data, perform data entry, monitor progress, and support the team with data queries, ensuring accuracy in tasks.

Design and manage a modular data layer architecture for scalable data ingestion and transformation. Develop ETL pipelines, implement metadata management, enforce data access policies, and report on performance and optimization.

The Reporting and Analytics Analyst supports research and administrative functions using data analysis for decision-making. Responsibilities include data analysis, dashboard development, and collaboration with teams to enhance strategic outreach effectiveness.

The Data Scientist will analyze data using Excel and Tableau, create reports and infographics, draft technical requirements, and improve workflows.

The Senior Data Engineer designs, develops, and maintains ETL pipelines and database systems while ensuring data security and compliance with HIPAA. Responsibilities include SQL development, data integration, reporting, and collaborating with teams to support data needs.

The Data Coordinator ensures data integrity and compliance by overseeing data management, conducting audits, providing training, and managing reporting related to program outcomes.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Lead marketing data strategy by designing scalable data models, governance, enrichment, and quality frameworks. Build dashboards and reports, enable segmentation and personalization, partner with legal/privacy and technology teams, and drive data-driven marketing decisions across the enterprise.

The Associate supports the Strategic Analytics team by developing dashboards using Power BI, managing reporting workflows, and enhancing data processes. They assist with data accuracy, provide user support, and contribute to internal workflow improvements.

The Data Engineer will build and maintain data platforms, deploy pipelines, monitor transformations, and collaborate with Data Scientists and DevOps.