Data​/Reporting Analysts

Details

• Open Date 12/15/2025
• Requisition Number PRN
  43831B
• Job Title Data / Reporting Analysts
• Working Title Data / Reporting Analysts
• Career Progression Track P00
• Track Level P3 - Career, P2 - Developing
• FLSA Code Professional
• Patient Sensitive Job Code? No
• Standard Hours per Week 40
• Full Time or Part Time? Full Time
• Shift Day
• VP Area U of U Health - Academics
• Department 00263 - Surgery Research
• Location Campus
• City Salt Lake City, UT
• Type of Recruitment External Posting
• Pay Rate Range 60,000 - 80,000
• Close Date 03/15/2026

Data / Reporting Analysts. Conduct data analysis in support of a variety of analytic solutions. Capture, develop, and document data definitions, business rules, and data quality requirements. Create and produce forecasts, reports, ad hoc requests, dashboards, etc. Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities. Develop reports and deliverables for management and communicate with all levels of stakeholders.

Identify and define both process and data improvements. Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

• Review, evaluate, design, implement, and maintain company databases to support business operations and data integrity.
• Identify data sources and develop data decomposition diagrams, data flow diagrams, ERDs, and comprehensive process documentation.
• Develop scripts for data extraction, transformation, and modification, and optimize databases for improved performance and scalability.
• Write advanced scripts using DDL / DML & Window functions to query, process, and analyze large-scale datasets across multiple platforms, such as Microsoft SQL Server and Postgre
  
  SQL.
• Design and structure scalable, efficient data warehouses aligned with organizational analytic and reporting needs.
• Develop, automate, and maintain recurring data processes using Python, SQL , and R with a high level of proficiency.
• Detect, troubleshoot, and resolve issues including CPU , memory, I/O, disk space, and other resource constraints.
• Conduct data profiling, quality assessments, and validation to support analytical initiatives and production operations.
• Keep track of data changes and develop deep expertise in data dictionaries, metadata, and domain knowledge of organizational databases.
• Follow established project management guidelines and workflows using JIRA and Git Hub for task tracking, documentation, and version control.
• Collaborate effectively with cross-functional teams, technical partners, and key business stakeholders.
• Present findings, reports, and recommendations clearly to technical and non-technical audiences, including leadership and external stakeholders.

EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Data / Reporting Analyst, II:
Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.

Data / Reporting Analyst, III:
Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

• Strong experience in MS SQL Server Database and Postgre
  
  SQL Administration with demonstrated ability to optimize performance and maintain system reliability.
• Advanced proficiency in DDL , DML , and Window functions for script development, including writing complex queries and stored procedures.
• Experience with data profiling tools, methodologies, and best practices.
• Demonstrated expertise in database programming with Microsoft SQL Server, Postgre
  
  SQL, and related ETL technologies.
• Preferred:
  Experience as a Database Analyst, Data Analyst, ETL Engineer, or in a related technical field.
• Preferred:
  Enterprise-level…