Top Healthtech Data & Analytics Jobs

Design, maintain, and support clinical data architecture aligned with Epic and enterprise analytics platforms. Build Epic-aligned CDS solutions and integrations (FHIR, APIs, CDS Hooks), collaborate with application and data teams, leverage SQL and modern data platforms (Databricks/EDW), and support AI/LLM and analytics use cases while ensuring documentation, governance, and security.

The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.

Own and build reliable analytics data products: define metrics, create and maintain dbt models, design dashboards for growth/finance/ops, improve data quality via testing and monitoring, and enable self-serve analytics for stakeholders.

Support the Program Manager by ensuring timely, accurate case-management data entry and reporting to funders. Audit data, develop QI procedures, design and modify reports (Excel/Access), document data sources and workflows, reduce duplicate entry, analyze data requests, collaborate with staff and vendors, and provide training and guidance to less-experienced team members.

Lead architecture and implementation of an AWS-native data platform powering analytics, ML, and AI workflows. Build scalable ETL/ELT pipelines (Airflow, Fivetran, dbt), enforce governance, observability (Datadog), and data quality, and provide technical leadership across Data Science, Analytics, Product, and Engineering.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

The Senior Data Officer will lead FNIH's data strategy, governance, and infrastructure, ensuring data is a secure asset supporting scientific partnerships and research initiatives.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.