Clinical Business Intelligence Analyst (EPIC)-Sr
Role Overview
Business Intelligence Analyst focused on data warehousing, data mining, data structuring, analytics, advanced visualization, and related technologies.
Develops BI solutions and advanced analytics for business partners and leaders using clinical and operational data.
Provides technical leadership to less experienced team members and leads medium-sized projects through implementation.
Key Skills for This Role
Full Job Posting
Role overview
Business Intelligence Analyst focused on data warehousing, data mining, data structuring, analytics, advanced visualization, and related technologies.
Develops BI solutions and advanced analytics for business partners and leaders using clinical and operational data.
Provides technical leadership to less experienced team members and leads medium-sized projects through implementation.
Responsibilities
- Define statistical analyses and models for clinical and operational data, including opportunity analyses, trending, KPIs, predictive modeling, program evaluation, reporting, and ad hoc analytics.
- Develop analyses and reports to find patterns in volumes, operational efficiency, cohort analysis, and clinical performance.
- Analyze structured, semi-structured, and unstructured datasets to discover trends and actionable insights.
- Apply research and evaluation standards, descriptive statistics, and data management principles.
- Present findings and recommendations to support organizational performance improvement.
- Develop and enhance analytical and operational BI solutions independently.
- Use dimensional modeling and data warehousing concepts to design scorecards, dashboards, and KPIs.
- Create interactive and advanced Tableau visualizations for analytics storytelling and business decisions.
- Develop complex SQL queries for ad hoc and ETL uses.
- Provide direction to less experienced team members and lead medium-sized projects through implementation.
- Keep informed about BI industry trends, technologies, and practices relevant to organizational objectives.
Qualifications
- Bachelor's degree in a scientific, technical, healthcare informatics, or mathematics field.
- Five years of experience in data analytics, data science, data warehousing, data lakes and marts, metadata management, and dimensional data modeling.
- Advanced understanding of Epic data models, analytical software, and data warehousing concepts.
- Ability to work independently with strong analytical thinking, troubleshooting, communication, organization, and project management skills.
Preferred experience and certifications
- Epic Clarity and Caboodle data models, reporting tools, and clinical data experience preferred.
- Experience supporting Epic Inpatient applications preferred.
- Tableau, Power BI, or relevant visualization certification preferred.
- Analytics tools and programming languages may include SAS, R, Python, Java, Spark, Hadoop, Alteryx, or SQL; visualization tools may include Tableau or QlikView.
- Epic Cogito Data Warehouse and Caboodle Data Model certification, maintained under Epic standards, preferred.
About UT San Antonio
UT San Antonio is a public research university combining higher education, biomedical discovery, and healthcare, serving approximately 42,000 students across 320 academic programs.
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