Top Healthtech Data & Analytics Jobs in Austin, TX

Lead the data analytics team at Solace, managing analysts, driving product strategy, and executing high-impact analytics while establishing best practices in data analytics.

Lead and scale the data analytics organization, guiding teams, driving product analytics strategy, and integrating AI to enhance data-driven decision-making across the company.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

The Software Development Manager oversees complex IT projects, ensuring they are completed on time and within budget while managing project scope and resources, and communicating effectively with stakeholders.

The Senior ERP SCM Systems Analyst serves as a functional authority for Oracle ERP/SCM applications, ensures business needs are met, leads testing, influences design, and improves system performance.

The Associate Director, Global Insights will conduct market research and provide strategic insights for global oncology product development and commercialization, collaborating across teams and fostering data-driven recommendations.

The Senior Growth Analyst collaborates with product, marketing, and sales teams to identify growth opportunities through data analysis, designing experiments, and measuring execution progress against targets while developing dashboards and insights to drive company growth.

The Clinical Business Analyst designs, develops, and maintains reports and dashboards in the Epic EHR system, ensuring accurate data and communication with users.

Lead statistical programming for clinical trials, managing programmers and CROs. Oversee programming activities, ensuring timely support for clinical projects and developing programming processes.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

The Principal Data Engineer will lead the design and implementation of scalable streaming data pipelines, optimize real-time data solutions, mentor team members, and advance modernization efforts in data engineering practices.