Clinical Business Intelligence Analyst (EPIC)-Sr

Company: UT Health San Antonio Staff Positions

Location: San Antonio, TX, United States (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-08-07

About this role

Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio. This role will operationalize business intelligence solutions and conduct advanced, timely, and relevant analytics in support of business partners/leaders to identify opportunities, and highlight strengths and opportunities to meet organizational strategies, objectives, and goals. Provides technical leadership to less experienced team members and will lead medium size projects through all phases of the implementation lifecycle.

  • Define complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to stakeholders; such as opportunity analyses, clinical trending, operational KPIs, predictive modeling, program evaluation, customer reporting, product development, and ad-hoc analytics.
  • Participate in the design and development of statistical analyses and reports that explore and present large amounts of data to discover underlying patterns and trends related to volumes, operational efficiency, cohort analysis, and clinical performance.
  • Analyze large datasets to discover trends, patterns, and actionable insights.
  • Apply research and evaluation standards, descriptive statistics, and data management principles to translate complex data into meaningful content.
  • Present findings using verbal, written, and graphic communication techniques. Offer recommendations to support organizational performance improvement.
  • Independently complete analysis, development, and enhancement of analytical and operational BI solutions to fulfill business needs.
  • Apply understanding of dimensional data modeling techniques, data warehousing, design,...

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