Top Healthtech Data & Analytics Jobs

Collects and analyzes clinical outcomes data to support quality improvement and program evaluation. Develops statistical syntax, methods, and reports; tracks performance metrics; communicates findings; integrates measurement into clinical decision-making; completes SAMHSA reporting and supports routine outcome reporting frameworks.

Early-career data engineer contributing to design, build, and maintain ELT/ETL data pipelines using Python, SQL, Spark and pipeline tools. Collaborates with product, platform, and data science teams, follows best practices, participates in code reviews, and supports AWS cloud infrastructure.

Provide reporting and data support for the ROOTS Hub region, compile and submit program reports, analyze and monitor performance measures, ensure compliance, and present findings and recommendations to internal and external stakeholders.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Perform healthcare data research, analysis, and reporting focused on Epic Tapestry and managed care measures (HEDIS, P4P, HCC/RAF, PMPM). Develop BI reports/dashboards, present insights to stakeholders, handle ad hoc requests, and obtain required Epic and data-model certifications.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

Design, build, and maintain scalable analytics solutions: data modeling, ETL/pipelines, integrations with SaaS and visualization tools, mentor engineers, review code, support production systems, and drive technical strategy.

Design, build, and support data infrastructure and pipelines for operational and analytics workflows. Collaborate with product, engineering, and customers to deliver scalable, secure, performant data products; own BI, streaming, ETL, and deployment practices; promote trusted, accessible data and drive data team outcomes.

The SAP SD Analyst supports and optimizes Sales and Distribution processes in SAP S/4HANA, focusing on Order-to-Cash processes, integration, and troubleshooting.