Top Healthtech Data & Analytics Jobs

Work with business stakeholders to gather requirements, define problem statements, and design data solutions. Document data ingestion, transformation, lineage, models, and workflows. Collaborate with architects and developers to deliver production-ready, audit-compliant data solutions, support cloud data frameworks, participate in Agile ceremonies, and ensure change management and compliance.

Provide expert-level financial and membership reporting, write efficient SQL, automate ETL processes, support system design and migrations, and partner with Finance, Sales, and Product teams to deliver monthly, quarterly, and regulatory reports.

Build and maintain production-grade data pipelines and ELT processes using Python, SQL, Airflow, and dbt within AWS. Design optimized schemas in PostgreSQL and Redshift, leverage AI/LLMs to improve development, automation, testing, and data quality, and scale infrastructure for large healthcare datasets.

Support Client Success by triaging payor compliance tickets, pulling and analyzing claims data, investigating payor-side blockers, conducting outreach, and building SOPs and client-facing materials to improve reimbursement outcomes.

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.