Top Data & Analytics Jobs in Baltimore, MD

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 role involves collecting, analyzing, and visualizing data for investment research, utilizing web scraping, data tools, and data science techniques.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

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.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The role involves leading e-commerce strategies, conducting analysis and A/B testing, collaborating across teams to optimize performance, and translating insights into actionable plans for clients.

Partner with a product team to design and implement product analytics: build dashboards, instrument and QA event tracking, run funnel/cohort/retention analyses, support A/B testing, and enable self-service reporting to inform product strategy and improve user experience.

Identify, develop, and deploy automated cost-saving audits using complex SQL against claims data. Build and maintain financial and ad-hoc reports, run medical record review and administrative hold concepts, lead cross-functional discussions, train teammates on SQL, triage operational tasks (Salesforce, audit letters, reimbursements), and partner with data/engineering to resolve data issues affecting payment integrity.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.