Top Healthtech Data & Analytics Jobs

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

Collaborate with business teams to define analytics needs, perform data exploration, statistical analysis, and modeling, and create dashboards and presentations to inform decisions. Build forecasts and regression models, support data stewardship and metadata management, and work with analytics teams to improve data models and access while ensuring data security and governance.

Lead technical design and delivery of enterprise data warehouse and BI solutions. Own data architecture, complex ETL/ELT development, testing, performance tuning, and prototyping. Mentor teams, coordinate cross-functional resources and vendors, enforce best practices, and ensure data readiness and quality to enable analytics and business value.

This role involves analyzing business needs and objectives, supporting business initiatives through data analysis, and recommending potential solutions. You'll lead problem solving efforts and assist with policy updates.

Lead analytics for Internal Audit Claims: extract, transform, reconcile, and validate large claims datasets; build and maintain Power BI reports/dashboards; perform QA and tie-outs; support automation, bots/AI enablement, and executive reporting; mentor other analysts and partner with audit, IT, and business stakeholders to deliver repeatable, validated analytics.

Lead growth analytics for a marketplace: partner across product, marketing, sales, and finance to identify opportunities, size impact, run experiments, maintain dashboards, and translate findings into action to move North Star metrics and OKRs.

Manage Wisconsin Medicaid BI reporting suite, develop analytics and cloud-based solutions, ensure data quality, analyze data and create visualizations to drive decisions, communicate insights to stakeholders, and travel quarterly for team meetings.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Design, build, and maintain scalable ETL pipelines, data warehouses, and analytics infrastructure integrating EMR, revenue cycle, and operational data. Ensure data quality, HIPAA compliance, support reporting/BI, enable analytics, and collaborate with clinical, finance, and IT teams.

Entry-level actuarial analyst supporting trend analysis, forecasting, and predictive modeling across lines of business. Collects and analyzes healthcare and financial data, monitors IBNR, develops visualizations and reports, presents findings to stakeholders, and assists with ad hoc actuarial projects to inform strategic decisions.

The role involves leading analytics initiatives, collaborating with teams to develop solutions, and ensuring customer satisfaction through effective insights and tools. Responsibilities include managing analytics projects, facilitating scrum meetings, and promoting data-driven decision-making within the organization.

Provide analytics and consulting for large commercial health clients: query and analyze medical/pharmacy/EMR and population datasets, build dashboards (Tableau/Power BI), design/maintain data layers and coding standards, present findings to C-suite, lead analytic initiatives, and scale client engagements internally.