Top Healthtech Data & Analytics Jobs

Own product telemetry, maintain dbt models in Snowflake, support self-service reporting and NLP queries, drive product insights from user and retention data, and monitor Airbyte syncs to ensure data quality.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Collects, scores, and enters client assessment data into the Clinical Database System; tracks clients and conducts follow-ups; performs basic statistical analyses, chart audits, and produces reports to support program evaluation and performance improvement.

Lead Data Engineer responsible for architecture, development, and maintenance of data platform. Enforce architecture vision, design and review ETL/data pipelines, ensure data quality/security, manage vendor relationships, support cloud migrations (Databricks/Fabric), lead operations (ITIL processes), and guide teams on technical solutions, testing, and documentation.

Join Clover's actuarial rotational program to perform quantitative analyses supporting forecasting, pricing, reserving, risk adjustment, and value-based care. Develop and maintain analytical models, partner with cross-functional leaders, produce reports and dashboards, automate analyses using SQL/Python/Excel, and rotate across actuarial disciplines to build Medicare Advantage expertise and progress toward actuarial credentials.

Lead and execute the company data strategy; design and maintain scalable data models and warehouses; drive ETL implementation; enforce data governance; provide analytics and insights to cross-functional teams; manage budgets, hiring, and team development; monitor performance and adopt emerging data technologies to optimize operations.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Senior Business Data Analyst handles complex data analyses, collaborates with stakeholders, documents technical specifications, and develops data solutions to meet business objectives, ensuring quality and compliance.

Design, implement, and manage scalable multi-cloud data platforms and ELT pipelines (AWS/Azure). Build and optimize Snowflake data models, dbt transformations, and Airflow orchestration. Define data engineering standards, enforce governance and quality, collaborate cross-functionally, and mentor global/offshore teams.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.