Top Healthtech Data & Analytics Jobs

The Research Intern will assist the research team in analyzing data, conducting literature reviews, and developing a research abstract for conference submission.

Support the corporate strategy team in enhancing strategic plans, conducting trend research, driving initiatives, and facilitating enterprise strategies.

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.

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.

The Senior Analyst will analyze diverse data sets to improve Supply Chain efficiency, develop BI reports, and support decision-making processes.

The role involves designing studies, applying statistical methods to data, generating real-world evidence, and collaborating across teams to enhance patient outcomes and support regulatory requirements.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

The Data Engineer designs and maintains scalable data infrastructure to support enterprise products, ensuring efficient data ingestion, transformation, and delivery across systems while collaborating with cross-functional teams.

Design, build, and maintain Databricks-based data warehouse and lakehouse solutions for healthcare data. Implement ETL/streaming pipelines, data governance, security (PHI/PII), Infrastructure-as-Code, cost optimization, and pipeline monitoring while collaborating with cross-functional teams to deliver reliable data products.

Support stakeholders by analyzing healthcare and financial data, building KPIs and models to measure patient outcomes and financial opportunity, creating recurring reports and visualizations, and collaborating across teams to design and implement data solutions.