Top Remote Data & Analytics Jobs in Hampton, VA

Design and execute HEOR studies (cost-effectiveness, budget impact, real-world evidence) using large claims datasets; collaborate cross-functionally; engage stakeholders; produce scientific deliverables (abstracts, posters, manuscripts); and communicate HEOR insights to support adoption, access, and reimbursement for genetic testing services.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

The HMMS Data Input & Retrieval Specialist III is responsible for managing SDS requests, ensuring data integrity, and customer support in the HMMS program, alongside maintaining compliance with regulations and auditing chemical information.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Support product, finance, and operations stakeholders by writing SQL, building dashboards, analyzing A/B tests, automating reporting, and producing data-driven recommendations to improve revenue, retention, and platform health.

Lead biostatistics activities for clinical and laboratory data using R, JMP, and SAS. Mentor statisticians, prepare SAPs, verify analyses, produce regulatory-ready tables/figures, perform data integration and QC, support DSMBs, and contribute to proposals and regulatory interactions.

Lead and manage architecture and engineering for enterprise data platforms across ingestion, storage, processing, analytics, and consumption. Translate business requirements into technical designs, enforce governance/security, oversee data pipelines, and coach teams to ensure scalable, reliable, and cost-efficient data solutions.

The Business Intelligence Intern will support data validation, conduct analysis, create reports, visualize data, and document processes while collaborating with teams to provide data solutions.

Execute and validate data migrations into Salesforce from multiple sources, transform and reconcile records, troubleshoot integrity issues, document steps for auditability, and support post-migration data hygiene and governance in collaboration with Operations, Analytics, and Engineering.

Embed clinical science into analytics and product teams to translate operational datasets into actionable protocol design, enrollment, feasibility, and risk-mitigation recommendations. Lead scientific interpretation of eligibility, enrollment modeling, site performance, and analytic model validation. Engage sponsors with deliverables and presentations and develop scalable methodologies, templates, and playbooks to support study design and product roadmap.