Sr Department Data Analyst at University of Texas Southwestern Medical Center in Dallas, TX

  • Company: University of Texas Southwestern Medical Center
  • Location: 5323 Harry Hines Blvd, Dallas, Texas
  • Job type: part time
  • Workplace: onsite
  • Posted: 2026-10-29

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Job description

WHY UT SOUTHWESTERN? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the No. 1 hospital in Dallas-Fort Worth according to U.S. News & World Report , we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you’ll discover a culture of teamwork, professionalism, and a rewarding career! JOB SUMMARY Works with relatively low supervision to provide data acquisition, management and report design/generation to users of data. Administer, maintain, and optimize databases within Microsoft Azure environments, including Azure SQL Database, Azure SQL Managed Instance, and Azure Data Lake Storage. Design, develop, and support ETL/ELT processes using Microsoft Fabric, including Data Factory pipelines, Dataflows, and Lakehouse solutions. Implement and manage data ingestion, transformation, orchestration, and integration processes from multiple source systems. Develop, test, and maintain SQL queries, stored procedures, views, and related database objects. Monitor and enhance database performance, availability, and capacity through proactive tuning and optimization. Implement backup, recovery, and disaster recovery strategies to ensure business continuity. Other duties as assigned. BENEFITS UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: PPO medical plan, available day one at no cost for full-time employee-only coverage 100% coverage for preventive healthcare-no copay Paid Time Off, available day one Retirement Programs through the Teacher Retirement System of Texas (TRS) Paid Parental Leave Benefit Wellness programs Tuition Reimbursement Public Service Loan Forgiveness (PSLF) Qualified Employer Learn more about these and other UTSW employee benefits! EXPERIENCE AND EDUCATION Required Education Bachelor's Degree in Science, Information Management, Healthcare Information, Statistics, Business or closely related field. Experience 5 years of Data management/analyst experience A combination of equivalent education and experience will be considered. Preferred Education Master's Degree Experience Work in a clinical or healthcare related field Familiarity with scientific terms (in biology, biochemistry, chemistry, etc.) JOB DUTIES Primary data steward responsible for all department databases, source systems and data structures. Responsible for the abstraction of data, analysis of data, and subsequent interpretation of data/ recommendations for consideration by departmental leadership, technical counterparts, and all relevant institutional business users. Ensure accuracy of data and reporting across department functions, mitigating against any audit/data risk by setting processes to validate data an on ongoing basis. Manages departmental projects and serves as primary departmental contact for all reporting/data mining tasks. Defines and maintains project plan and schedules. Monitors compliance with definitions of project scope, timelines, and deliverables. Provides regular project status reports to departmental leadership. Assists Department Data Analysts of lower status with data needs and project coordination. Serves as technical lead and subject matter expert (SME) for all source data systems relevant to department operations. Shares information with department management team on a recurring or as needed basis. Serves as lead technical contact for relevant data points and sources systems for institutional projects/platforms (i.e.

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