Data Warehouse Analyst

Job Summary

Join the Utah Data Coordinating Center (DCC) as a Data Warehouse Analyst, where your work will directly enable innovative clinical research at the University of Utah and across national partners. You will play a pivotal role in designing, developing and maintaining business intelligence solutions, including reports, dashboards and data visualizations for a thriving clinical research enterprise. This is a growth-focused role ideal for someone who thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research initiatives. This position is listed as hybrid meaning the selected candidate would need to live local or be willing to relocate to the Salt Lake City area.

Positions are designed to provide growth and professional development opportunities, including promotions within a defined career ladder.

The University of Utah offers a comprehensive benefits package including:

• Excellent health care coverage at affordable rates
• 14.2% retirement contributions that vest immediately
• Generous paid leave time
• 11 paid Holidays
• 50% tuition reduction for employee, spouse, and dependent children
• Flex spending accounts
• Free transit on most UTA services
• Employee discounts on a variety of products and services including cell phones & plans, entertainment, health and fitness, restaurants, retail, and travel
• Professional development opportunities

Additional benefits information is available at www.hr.utah.edu/benefits

Responsibilities

As a Data Warehouse Analyst, your responsibilities will include:

1. Data Analysis and Requirements Gathering: Analyze business requirements, understand data sources, and translate them into technical specifications for BI solutions.
2. Data Modeling and Warehousing: Design and develop data models, data warehouses, and ETL (Extract, Transform, Load) processes to ensure data quality, accessibility, and scalability.
3. Dashboard and Report Development: Create interactive dashboards, reports, and visualizations using tools like Power BI, Tableau, Python or Looker.
4. Data Extraction, Transformation, and Loading (ETL): Automate the process of extracting data from various sources, transforming it into a usable format, and loading it into the data warehouse or reporting tools.
5. Performance Optimization and Troubleshooting: Optimize the performance of BI systems, troubleshoot issues, and ensure the reliability of data and reports.
6. Collaboration and Communication: Collaborate with Data Architects, Software engineers and various teams to gather requirements, provide support, and ensure the BI solutions meet the business needs.

Disclaimer This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Comments Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead.

Minimum Qualifications

Requires a bachelor's degree in area of specialty or equivalency (one year of education can be substituted for two years of related work experience) and 2-4 years of experience in the field or in a related area. Familiar with a variety of the field's concepts, practices, and procedures.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.

Preferences

We will give preference to candidates with the following qualifications:

• Proficient in SQL
• Familiarity with AWS (Glue, S3, EC2)
• Development experience with Python (Pandas, Boto3, PySpark)
• Understanding of ETL processes and tools
• Experience with version control systems (Git)
• Ability to read/understand Java is a plus
• Experience using Jenkins
• Experience with data visualization tools (Tableau, SSRS, Power BI)
• Background in data warehouse design (Star/Snowflake Schema)
• In-depth understanding of database management systems, OLAP and ETL frameworks
• Excellent analytical, problem-solving, and innovative thinking skills
• Strong ability to explain advanced data concepts to fellow developers as well as non-technical end users
• Demonstrated ability to meet deadlines, balance multiple priorities, and ensure quality standards based on an Agile development process.

Applicants will be screened according to preferences.

Special Instructions

Requisition Number: PRN43069B Full Time or Part Time? Full Time Work Schedule Summary: Hybrid 2-3 Days in office. Monday-Friday, 8:30 am - 5:00 pm Department: 02228 - Data Coordinating Center Location: Campus Pay Rate Range: 47600 to 84249 Close Date: 12/10/2025 Open Until Filled:

To apply, visit https://utah.peopleadmin.com/postings/188695