Top Healthtech Data & Analytics Jobs in Austin, TX

The Actuarial Analyst 2 analyzes financial and economic data to support strategic decisions. Responsibilities include data integrity, collaboration with stakeholders, and tool improvement.

The Business Intelligence Engineer 2 will leverage Microsoft Power Platform tools to design applications that support data integration and analysis, contributing to actionable business intelligence.

The Senior Business Intelligence Data Analyst supports pharmacy programs, develops SQL queries, and produces reports and analyses to support financial decisions in healthcare.

The NSQIP Team Lead oversees quality tasks in data abstraction, trains new members, and manages performance and quality trends while collaborating with the Clinical Services Lead.

The Associate Fraud and Abuse Investigator contributes to fraud investigations, coding reviews, and reimbursement system assessments within a healthcare context.

The LMS Administrator will manage CareDx's Learning Management System, ensure compliance training deployment, conduct audits, and provide stakeholder support, focusing on system optimization and collaboration across departments.

The role involves developing and maintaining R-based applications, mentoring biostatisticians, overseeing projects, and ensuring statistical quality and compliance in clinical trials.

The Sr. Actuarial Analyst develops financial forecasts for healthcare partners, optimizing processes and conducting data analysis to enhance decision-making.

The role involves analyzing business processes, providing technical support, designing applications, and optimizing business systems. Responsibilities include coding, reporting, and troubleshooting in healthcare settings.

Assists in internal audits by ensuring data integrity, performing analysis, creating visual data reports, and training other auditors. Requires SQL and advanced Excel proficiency.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.