Top Data & Analytics Jobs in Hampton, VA

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Data Collector/Analyst will collect, validate, and analyze test data from border security systems, performing statistical analysis and supporting evidence-based recommendations.

Lead consolidation and analysis of complex business and forecast data for executive reporting. Collaborate with business and technical teams to design and implement solutions, optimize month-end/forecast processes, and produce executive summaries. Serve as data expert for applications, may coordinate audits, and use visualization and scripting tools to support decision-making.

The Analyst, People Insights will partner with stakeholders to deliver data-driven insights, automate reporting processes, and ensure data accuracy for HR functions.

Administer and secure DCIM database systems (Nlyte Neo), collect/ingest and clean data center equipment/cabling data, build scripts, complex views, reports and Power BI dashboards to visualize power/space/cooling/cabinet utilization, tune performance, document designs and processes, assist software releases, design cloud data solutions, and support enterprise data center portfolio management for mission-critical operations.

Analyze vehicle damage claim data to identify trends, improve billing and collections, investigate complex claims, train field teams on data quality, partner cross-functionally, and recommend scalable process improvements to increase recoveries and reduce disputes.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

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

As an Actuarial Analyst I, apply actuarial methodologies to projects, analyze data, communicate insights, and support business needs while ensuring compliance and quality.