Top Data & Analytics Jobs in Hampton, VA

The Senior Value Attainment Analyst will analyze customer data to create ROI analyses that support renewals and expansions, ensuring accurate methodologies and compelling presentations for health system leadership.

The Sr. Data Analyst will turn healthcare data into insights, design dashboards, automate reporting, and collaborate cross-functionally to improve analytics frameworks.

The Senior Business Intelligence Engineer will design and maintain BI analytics solutions, ensuring data-driven decision-making in healthcare operations while ensuring compliance with data governance standards.

The role involves managing BI processes, conducting strategic analyses, improving workflows, creating dashboards, and communicating data insights clearly to stakeholders.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

As a Revenue Integrity Analyst II, you will audit charges, analyze billing data, ensure compliance, and collaborate with cross-functional teams to improve revenue integrity.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.