Top Healthtech Data & Analytics Jobs

Transform operational and financial data into dashboards, KPIs, and recurring executive reports. Validate and govern data across source systems, automate reporting pipelines, perform financial analysis (budgeting/forecasting), support data quality and governance, and partner with stakeholders to translate business questions into analytical solutions.

As a Data Analyst, you'll drive innovation through data insights to support decision making and contribute to business growth.

Lead Commercial Analytics and Operations, integrating insights and field operations to drive performance in a pharmaceutical context, overseeing analytics, data strategy, and vendor management.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

The Data Engineer will develop data pipelines and integrations, focusing on healthcare data to enhance financial operations, ensuring efficient data handling and driving impactful solutions.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

Build, maintain, and optimize ETL/ELT data pipelines using Databricks, Apache Spark, and SQL. Support data ingestion, transformation, SSIS integration, and SQL Server development. Troubleshoot data quality, assist production support, document processes, and collaborate with analysts and stakeholders. Support data governance, HIPAA compliance, and healthcare data initiatives.

The Director of Client Analytics will manage client interactions, lead measurement initiatives, and develop a diverse analytics team to improve healthcare campaign outcomes.

Manage client relationships and use analytics to inform life sciences marketing decisions. Lead teams and execute on analytics projects, ensuring client success.

Lead design, development, and maintenance of Power BI dashboards and self-service analytics. Translate stakeholder requirements into clear visualizations, collaborate with data engineering, write and optimize SQL and DAX, ensure data accuracy and performance, document models and assumptions, apply visualization best practices, and evolve dashboards using user feedback and AI tools.