Top Analysis Reporting Jobs in Hampton, VA

Own and deliver assigned data products: gather requirements, design data models, build dashboards/reports, define data quality rules, run QA/UAT, mentor junior analysts, and partner with data engineering and governance to enable analytics and process improvements.

Own the end-to-end analytics function embedded in a business unit (growth, product, AI/automation, or partnerships). Define problems and metrics, build reports and experiments, surface insights, recommend actions, and drive outcomes with cross-functional partners.

Lead design and delivery of scalable production data pipelines and data products (Spark/Python/SQL) on Databricks; integrate diverse federal health systems, define reusable ingestion patterns, ensure data quality/governance, mentor engineers, and troubleshoot/optimize production workflows.

Embed with a core business area to define problems, build reports and experiments, analyze data, surface insights, and drive high-impact recommendations end-to-end across growth, product, AI, or partnerships.

Lead research and listening for a specific audience: design and run primary research, integrate listening signals, synthesize quantitative and qualitative insights, and deliver timely, decision-oriented recommendations while coaching analysts and partnering with enterprise stakeholders.

Lead and manage the Insights team across research design, project execution, analysis oversight, and QA. Serve as primary project lead, translate findings into actionable deliverables, oversee survey programming and data quality, coach team members, improve processes, and support client presentations and operational planning.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake; architect reusable data assets, governance, and SaaS metrics; build AI-enabled data foundations and LLM workflows; integrate analytics into operational tools and partner cross-functionally to productionize AI-driven use cases.

Lead a marketing analytics team to deliver acquisition, engagement, retention, and reactivation measurement. Own SQL-based analyses, experiments, audience strategies, dashboards, and incrementality methods. Translate business questions into analytical plans, partner cross-functionally, mentor analysts, and connect marketing activity to downstream outcomes like retention, revenue, and lifetime value.

Lead technical advisor for enterprise data governance engagements. Design governance strategy, metadata management, business glossaries, taxonomy, data lineage, stewardship models, and Microsoft Purview implementations. Run workshops, maturity assessments, and executive advisory sessions. Create governance monitoring, operational reporting, and AI-readiness assessments for platforms like Microsoft Fabric, Power BI, and Azure.

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.