Top Healthtech Data & Analytics Jobs

Lead strategy, governance, implementation, and support for Workday and enterprise applications. Oversee Workday Student, integrations, reporting, analytics, data governance, and vendor relationships. Drive analytics strategy, dashboards, data quality, integrations, team leadership, budgeting, and cross-functional collaboration to improve student, faculty, and administrative processes.

Transform clinical, operational, and financial data from EHR, PM, and oncology systems into dashboards and reports. Build and maintain ETL pipelines and standardized datasets, analyze revenue cycle, clinical quality, and service-line performance, and deliver actionable insights to physicians, executives, and operational teams to improve efficiency, financial outcomes, and patient care.

Meet with business customers to gather and document traceable requirements, model processes (UML, use cases), plan JAD sessions, define data requirements and dictionaries, design dashboards and reports, identify integrations, develop and execute system test plans, support QA, and mentor junior analysts.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Senior member of the Data & Analytics team who translates operational reporting requirements into Epic- and Qlik-based analytics solutions. Develops RW SQL reports, Radar dashboards, and self-service artifacts; validates data, mentors junior analysts, enforces best practices, supports intake/prioritization, and coordinates training and legacy-to-new-tool migrations.

Lead analytical support for commercial and sales teams to identify growth opportunities, build advanced reporting and tools (Power BI/Tableau, SQL, Excel), track strategic initiatives, support territory optimization and customer segmentation, develop consumer insights, and provide ad-hoc analysis to drive sales force effectiveness and EBITDA goals.

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.

Analyze and report on inclusion, diversity, equity, and engagement data. Provide insights to support IDE&E programs, and prepare presentations for executive leadership.

Lead marketing analytics and BI for crop protection and agribusiness, turning market, competitive, and commercial data into actionable insights. Build and maintain dashboards and ad‑hoc analyses (Power BI, Tableau, Excel), manage market research, monitor competitors and channel performance, and present recommendations to senior stakeholders to inform pricing, portfolio, supply, and go‑to‑market decisions.

Support Revenue Cycle, Finance, and Accounting by extracting and analyzing billing and operations data, building queries and BI visualizations, maintaining dashboards and reports, documenting processes, validating data quality, and collaborating with billing, coding, and finance teams to improve workflows and revenue performance.