Top Healthtech Data & Analytics Jobs

Lead architecture and operations for the end-to-end data lifecycle: pipeline orchestration, dbt projects, cloud warehouse performance, dimensional modeling, data observability, HIPAA controls, and platform governance. Mentor a distributed data engineering team, partner with Analytics and Finance, and prioritize durable platform capabilities that enable BI, experimentation, and AI use cases.

Lead design, build, and administer Azure Databricks data pipelines and platform infrastructure. Ensure catalog architecture, data quality, security/governance (Unity Catalog), stakeholder engagement, Power BI administration, cost management, and delivery of complex projects using modern ETL, streaming, and ML capabilities.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

The Director leads JAX's research data strategy, ensuring data governance and management while promoting data-driven decision-making. Responsibilities include developing frameworks, policies, and analytics capabilities, along with fostering collaboration among stakeholders.

Deliver end-to-end healthcare data migration: analyze source systems, develop SQL queries and transformation logic, validate and reconcile converted data, collaborate with clients and teams, and use AI-assisted tools to improve delivery.

Lead the architecture and development of CareDx's enterprise BI ecosystem. Own Power BI modeling, DAX optimization, governance (RLS, deployment pipelines), and self-service enablement. Collaborate with data engineering to build scalable Databricks/Delta Lake/PySpark pipelines, leverage Microsoft Fabric and Lakehouse architecture, mentor BI developers, translate business needs into analytics solutions, and drive BI performance and reliability.

Design and implement scalable Snowflake-based data architectures on cloud (Azure/AWS). Build and optimize ETL using SnowSQL and Spark, tune performance, migrate data systems, document designs, collaborate with stakeholders, and mentor engineers while incorporating agentic AI into the data engineering SDLC.

Lead commercial analytics, reporting, and decision support for Sales. Build dashboards, forecast models, and BI solutions (Salesforce, Tableau/Power BI, SQL, Snowflake). Provide executive insights, territory and quota analytics, pipeline and performance analysis, and mentor analysts while ensuring data governance and cross-functional alignment.

The Senior Data Scientist will analyze and optimize marketing funnels, build statistical models, conduct experiments, collaborate with teams, and mentor junior members.