Top Remote Data & Analytics Jobs in Hampton, VA

Analyze marketing channel performance (Paid Media, CRM, Email, engagement), prepare recurring reports, consolidate data into actionable summaries, perform QA on reports/datasets, support client recommendations and optimizations, collaborate with cross-functional teams, and use AI tools responsibly to improve efficiency.

Analyze customer and caregiver data to identify workflow improvements, build dashboards and visualizations, support Customer Success with QBRs and presentations, translate findings into actionable recommendations, and create scalable data processes while advising Product and Engineering.

Lead end-to-end migration of VA legacy contract and acquisition records into Appian, overseeing extraction, ETL design, mapping, validation, cutover planning, provenance preservation, and post-migration monitoring. Coordinate with SMEs, architects, and Financial Systems leads, run migration rehearsals, and produce documentation and knowledge transfer for O&M sustainment.

Lead global data governance strategy and operating model, establish enterprise data management/MDM and data certification practices, build and lead the global governance function and steward program, drive change management and adoption across business lines, partner with cross-functional teams to resolve data risks and embed governance into workflows, and deliver measurable outcomes against the governance roadmap.

Design, develop, and automate business applications and reporting using Microsoft Power Platform. Build Power Apps, Power Automate flows, SharePoint/Dataverse integrations, and Power BI dashboards to support financial reporting, audit readiness, and process improvements. Collaborate with stakeholders to translate requirements, maintain documentation, troubleshoot issues, and support deployments and production reliability.

Part-time contractor responsible for database maintenance, advanced Excel data manipulation and reporting, CRM management, KPI development, data visualization, and consulting with executives to improve processes and present findings.

Lead enterprise analytics strategy and execution, build scalable self-service BI and dashboards, manage complex analytics projects, partner with cross-functional stakeholders, perform advanced analyses as subject-matter expert, and drive AI-enhanced analytics adoption to inform strategic decision-making.

Lead product measurement and analytics as a Staff-level IC: define KPI frameworks, generate proactive insights, shape product strategy, improve data foundations, and build AI-enabled analytics workflows while mentoring analysts and influencing senior product leaders.

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Lead customer engagements to architect, implement, and optimize large-scale Spark and Databricks workloads. Troubleshoot and tune distributed PySpark and DBSQL jobs, design PoCs/workshops, advocate technical solutions, mentor junior engineers, and collaborate cross-functionally to improve platform features and cost-efficiency.