Healthcare Data Analyst II: Actionable Insights

University of Texas; Utah; On-site; USD 63,000 - 77,000; Full time

Job summary

The University of Texas at Austin is seeking a Data Analyst II to support clinical, operational, and strategic initiatives across the health system. You will collaborate with clinical leaders, IT, finance, and quality teams to deliver actionable insights and develop advanced dashboards and models.

Responsibilities include writing robust code in Python or R, building data pipelines, and mentoring junior analysts while ensuring data governance and effective stakeholder communication.

Qualifications

• Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field.
• Minimum of three years of relevant experience in data analysis, reporting, or healthcare analytics.
• Master’s degree preferred; five or more years' experience in healthcare data analytics.

Responsibilities

• Write robust, reproducible code in Python or R to analyze structured and unstructured healthcare data.
• Develop and maintain data pipelines and ETL jobs using SQL, Python, or integrated tools.
• Build advanced dashboards with parameterized filtering and data storytelling for stakeholders.
• Serve as data liaison for clinical, operational, and IT teams and communicate findings clearly.
• Mentor junior analysts and contribute to data governance and standards.

Skills

Python

R

SQL

Tableau

Power BI

Data Visualization

Machine Learning

Education

Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field

Master’s degree in a quantitative or healthcare-related field

Tools

SQL

Python

R

Tableau

Power BI

SAS

Job description

The University of Texas at Austin is seeking a Data Analyst II to support clinical, operational, and strategic initiatives across the health system. You will collaborate with clinical leaders, IT, finance, and quality teams to deliver actionable insights and develop advanced dashboards and models.

Responsibilities include writing robust code in Python or R, building data pipelines, and mentoring junior analysts while ensuring data governance and effective stakeholder communication.