Top Senior Data & Analytics Jobs in Hampton, VA

Lead big data design and development using IBM's big data platform. Architect and build solutions for technical/scientific use cases with hands-on experience in Hadoop, Spark, HBase, Hive, Pig, and R. Communicate with customers, lead meetings, and guide diverse teams to deliver solutions.

Support executive leaders by leading cross-functional analytics, governance, and enterprise reporting initiatives. Develop analytic models, dashboards, and strategic reporting; guide stakeholders, coordinate data governance, ensure data quality, and present recommendations to senior leadership to drive value-based care, financial, and operational decisions.

Design and implement scalable cloud data platforms and ETL/ELT pipelines using Snowflake, dbt, Fivetran, Dagster on Azure. Build data models and analytics/reporting solutions (Power BI), optimize performance, translate business requirements into modern architectures, and provide client-facing consulting with strong stakeholder and executive communication.

The Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

Senior analytics role identifying and explaining healthcare trend drivers. Leads complex analyses, develops dashboards and actuarial pricing/valuation, mentors junior analysts, and promotes AI, automation, and visualization adoption to inform business decisions and risk management.

Lead quantitative analyses to assess customer remediation, restitution, and financial impacts. Develop analytical frameworks, analyze large datasets, build dashboards, validate methodologies, and translate findings into executive-ready narratives to inform strategic decisions. Partner with cross-functional stakeholders and manage multiple projects in a hybrid, fast-paced environment.

Lead and grow an analytics engineering team to build a trusted semantic metrics layer, scalable dimensional models, and governance. Partner cross-functionally to deliver reliable data products, improve pipelines and observability, set technical standards, and enable self-service analytics, experimentation, and ML while balancing scalability and business impact.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design and implement data engineering and reporting solutions for MarTech/AdTech clients: build data models in BigQuery/dbt, manage ETL pipelines, create dashboards in Looker/Data Studio, validate integrations, and collaborate with product and engineering teams to scale reporting and analytics.

Lead design and delivery of scalable, secure cloud data pipelines and data products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0, dimensional), embed data quality/security/observability, optimize performance and cost, drive CI/CD/IaC/DataOps practices, mentor engineers, and support AI/ML-ready datasets within an agile DevSecOps pod.

Design, build, and operate scalable cloud data pipelines and platforms (development through production). Embed security, automation, CI/CD and testing; monitor, tune, and resolve incidents; provide technical design, mentoring, and cross-functional collaboration to deliver reliable healthcare-focused data products.