Top Healthtech Data & Analytics Jobs in Austin, TX

Responsible for managing all data management activities for clinical studies, including data collection, cleaning, reporting, and validation, while ensuring regulatory compliance and quality data delivery.

The Analyst, Market Intelligence will conduct global sales analysis, develop sales models, support reporting metrics, and analyze market trends within cardiac rhythm technologies.

The Chief Actuary leads actuarial functions including forecasting, reserving, and contracting for Aledade, mentoring teams and influencing health partnerships.

The role involves supporting U.S. participation in international education data collections, validating statistics, conducting analyses, and coordinating with partners while managing multiple projects.

The Pricing Director develops and implements pricing strategies, collaborates with various departments for financial success, and analyzes market conditions to optimize profitability.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

The Business Analyst collaborates with teams to identify needs, gather requirements, improve operations, and ensure IT solutions align with business objectives, especially within the healthcare industry.

The Clinical Data Manager oversees clinical trial databases, creates documentation, reviews data, trains staff, and ensures compliance with regulatory standards.

The Senior Clinical Data Manager oversees clinical trial databases, mentors junior staff, and ensures data quality and compliance with regulatory standards.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.