Top Healthtech Data & Analytics Jobs

Ensure accuracy, consistency, and integrity of donor and gift data across systems. Audit, analyze, and reconcile records; maintain donor database standards; support data governance, process improvements, and reliable reporting to enable fundraising and acknowledgement activities.

Lead a team supporting Epic analytics and clinical/operational systems. Oversee daily operations, project coordination, testing, reporting, data governance, staffing, training, and vendor interactions. Design scalable data models and pipelines (Microsoft Fabric, SQL Server, Power BI), ensure data quality, and present findings to executive stakeholders while maintaining system availability and compliance.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Lead cross-functional projects to design, implement, and manage data workflows, reporting, and analytics for health plan reimbursement and payment initiatives. Guide data governance, evaluate systems, automate processes, and mentor analysts to ensure accurate financial and clinical reporting that meets regulatory requirements.

Support building and validating dashboards, reports, and metrics using Looker and spreadsheets. Perform QA on data, document metric definitions, create training/self-service resources, and collaborate with analytics and engineering teams while handling HIPAA-minded healthcare data.

Analyze large, complex datasets to generate actionable insights; build SQL queries and data pipelines; develop predictive models (regression, clustering, forecasting); create and maintain dashboards; ensure data quality and governance; collaborate with stakeholders to translate findings into business recommendations and document work.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

Responsible for building data models, developing ELT pipelines, implementing data quality checks, and utilizing best practices in data engineering and healthcare analytics.

The Sr. Underwriting Ops Associate ensures operational integrity in underwriting processes by validating data, approving quotes, monitoring performance, and partnering across teams to resolve issues.

As a Senior Statistical Methodology Data Scientist, you will provide expert guidance on complex study designs and develop innovative statistical approaches to enhance evidence generation and decision-making across clinical development.