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UT Southwestern Medical Center Logo

Data Analyst - Surgical Services

UT Southwestern Medical Center

Salary not specified
Apr 30, 2025
Dallas, TX, US
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UT Southwestern is looking to improve data analysis and decision support in their healthcare operations and analytics.

Requirements

  • Experience with Python, SQL, and SSIS.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Experience with caboodle and clarity.
  • Demonstrated proficiency with analytical software and data dashboard building.
  • Experience with database applications and analytical tools.
  • Experience with data quality, applications, and functions.
  • Experience with data mining and data analysis.

Responsibilities

  • Perform complex data analysis in support of ad-hoc and standing clinical and administrative requests.
  • Develop programs, methodologies, and files for analyzing and presenting data.
  • Use database applications and analytical tools, evaluates data quality, applications, and functions.
  • Researches new data sources and analytical tools; contributes to new product development and improvement in product delivery and presentation.
  • Manages standing reports to specification and timelines including department P&L, OR Metrics, Service Line and programmatic scorecards/dashboards.
  • Formats data/presentations for standing committees including quarterly QA/PI/PIC Committees, Service Line Steering Committees, Surgical Services Executive Committee.
  • Delivers data products in report/ presentation format, or verbally, to AVP in a detailed oriented and timely manner.

Other

  • Bachelor's Degree or higher in Healthcare, Business and Administration preferred.
  • 2-5 years experience in data analysis, decision support, finance.
  • 1 year of healthcare experience required, preferably in a healthcare operations and analytics.
  • Provides a high level of customer service while meeting project and presentation deadlines.
  • Communicates results effectively to customers.
  • Communicates regularly and effectively with team members and supervisor.