Job Details

Business Intelligence Analysts

Position Number: 7097255
Location: Salt Lake City, UT
Position Type: Business and Financial Management

Business Intelligence Analysts

Job Summary

The Research and Analytics Data (RAaD) team within the Office of Research Information Systems (ORIS) seeks to hire two Business Intelligence Analysts who will play key roles in advancing data-informed decision-making across research administration and the university. These positions will interpret and analyze complex data to support strategic planning, improve operational efficiency, and inform initiatives led by the Vice President for Research (VPR) and campus partners. The analysts will work closely with the VPR and research administration leadership across campus to develop reports, dashboards, analyses, and recommendations that support institutional goals.

One position is a senior-level Business Intelligence Analyst focused primarily on internal university research administration data requiring four to eight years depending on education. The second position will focus primarily on external and benchmarking data related to research activity and impact and requires two to six years depending on level and education.

Successful candidates will be detail oriented, collaborative, and skilled at turning complex data into clear and actionable insights.

Applicants for both positions must have professional experience beyond internships.

Please note in your application and cover letter which position you are applying for. Salary will be determined by which track the position is hired into.

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.

Responsibilities
Business Intelligence Analyst (Senior)
Advanced Track (P4): Salary Range: $90,000 to $105,000; or
Career Track (P3): Salary Range: $80,000 to $95,000

This role will primarily be responsible for analyzing internal university data related to the research enterprise, including but not limited to proposals and awards, expenditures, technology licensing and commercialization, and human resources and faculty appointments related to research.

The successful candidate will be a seasoned analytics professional with strong expertise in data analysis, data visualization, and stakeholder collaboration. This individual will lead highly complex analyses, translate business needs into reporting and dashboard solutions, and communicate findings and recommendations to senior leaders and decision-makers across the research enterprise. The role requires the ability to work independently, synthesize data from multiple sources, identify patterns and opportunities, and support strategic and operational decisions across the university.

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Business Intelligence Analyst
Developing Track (P2): Salary Range: $62,000 to $77,000; or
Career Track (P3): Salary Range: $80,000 to $95,000

This role will primarily be responsible for analyzing external data relevant to the university's research enterprise, including but not limited to bibliometric, benchmarking, research impact, faculty productivity, tech transfer, and research expenditure data. Key sources may include Dimensions.ai, IRIS, Academic Analytics, SciVal, AUTM, the NSF HERD Survey, and other publicly available and purchased datasets.

The successful candidate will support the development of reports, dashboards, and analyses that help research administration leadership understand institutional performance, benchmark against peer institutions, and identify trends and opportunities. This role requires strong analytical and communication skills, attention to detail, and the ability to work with structured and semi-structured data from multiple external sources.

At the P2 level, the analyst will perform professional work of increasing complexity under guidance, with opportunities to build technical skills. At the P3 level, the analyst will be expected to work more independently, manage moderately complex projects, and contribute to the development of reporting approaches and analytic recommendations.

Minimum Qualifications
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:
Business Intelligence Analyst, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
Business Intelligence Analyst, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
Business Intelligence Analyst, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

Preferences
Business Intelligence Analyst, P4 or P3 (Senior)
Preferences:

Advanced proficiency in data visualization tools, preferably Tableau, including dashboard design and data storytelling best practices
Advanced SQL skills and experience querying complex relational datasets -
Demonstrated experience cleaning, joining, manipulating, and analyzing large and complex datasets from multiple sources
Experience translating stakeholder questions into analytic approaches, reports, dashboards, and recommendations
Strong written, verbal, and interpersonal communication skills, with the ability to present complex findings to technical and non-technical audiences
Experience defining KPIs, metrics, or performance indicators
Experience with Python and/or R for data analysis
Experience consulting with senior leaders or executive stakeholders
Experience working within higher education (research administration preferred), government, or other complex institutional data environments
Experience mentoring, coaching, or guiding other analysts

Business Intelligence Analyst, P3 or P2
Preferences:

Experience with data visualization tools, preferably Tableau
Experience writing SQL queries and working with structured datasets
Experience querying, cleaning, manipulating, and analyzing data from multiple sources
Demonstrated aptitude for learning new data tools and subject matter quickly
Strong written, verbal, and interpersonal communication skills, with the ability to present information clearly to technical and non-technical audiences
Experience with external benchmarking, bibliometric, or higher education datasets
Experience with Python and/or R is helpful but not required

Special Instructions

Requisition Number: PRN44794B
Full Time or Part Time? Full Time
Work Schedule Summary: 8am - 5pm
Department: 00639 - VP for Research
Location: Campus
Pay Rate Range: $62,000 - $105,000
Close Date: 5/4/2026
Open Until Filled:

To apply, visit https://utah.peopleadmin.com/postings/200470