Top Healthtech Data & Analytics Jobs in Austin, TX

The Senior Analyst I will quantify and communicate health value, develop data models and reporting packages, and collaborate with teams to scale insights.

The intern will support data collection, analysis, and reporting, using SQL to extract and validate data, develop dashboards, and prepare data for analysis, while gaining practical experience in a professional IT environment.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

Own Lead→Win funnel reporting, attribution, and experiment measurement for Performance Marketing. Design and analyze A/B/multivariate tests, ensure tracking across Salesforce/Pardot/Gong/Clay, govern lifecycle definitions, and produce executive-ready performance narratives to guide Marketing, Sales, and RevOps investment decisions.

The Lead Data Product Owner manages the lifecycle of Humana's pharmacy data products, ensuring quality data governance, backlog management, and aligning analytics with business objectives in a SAFe Agile environment.

The Senior Biostatistician II will oversee clinical trials, manage statistical deliverables, lead client interactions, and mentor junior staff.

Lead cloud cost optimization initiatives by partnering with engineering, finance, and procurement. Analyze spending, improve financial accountability, and mentor teams in best practices.

As a Senior Business Analyst at HealthCare.com, you'll lead analytical efforts to optimize partner budget strategies and new product introductions, using advanced analytical frameworks and scenario modeling to drive revenue growth in a fast-paced marketplace.

The Business Intelligence Data Analyst II role involves creating reports and dashboards, conducting analyses, resolving issues, and optimizing data structures while collaborating with cross-functional teams.

The Senior Data Analyst will collaborate across teams to provide insights, build analytics databases, create dashboards, and automate reporting solutions. They will analyze data trends and partner with IT and product teams to enhance data models.