Job Summary
The University Analytics & Institutional Reporting ( UAIR ) office is not currently able to support individuals seeking sponsorship for visa – living in and working from the U.S. is a requirement. The UAIR office is seeking a Senior Business Data Analyst that will play a pivotal role in driving data informed decision-making across the university. This position will be responsible for interpreting and analyzing complex datasets to support strategic planning, operational improvements, and initiatives related to student success. The Senior Business Data Analyst will work closely with university leadership, faculty, and staff to identify key performance indicators and create actionable insights that support student success goals at the University of Utah. The successful candidate will be a seasoned professional with a strong background in data analysis, data visualization, and collaborating with decision makers and stakeholders. The UAIR office houses a transformational group of data professionals that turn complex university data into meaningful, highly valued information, trusted by university leadership to drive strategic decisions and generate official figures reported to regulatory, external and public agencies. The UAIR team operates with an iterative mindset of continuous improvement, learning and adapting strategies as we go. We believe the strengths and knowledge each person brings to the team bolster our collective work, and aim for a collaborative environment where we thrive together while tapping into our strongest individual contributions. If you’re the type of person who loves data and wants to know your work has meaning, you may find your career home in our office. Like many areas at the University of Utah, our office is primarily a remote-work environment. As such, it is intended that this position will be fully remote, though the opportunity for occasional in-person meetings on campus will arise. Ideally, some initial training and onboarding could be in-person. We expect to continue our remote-work arrangements and will review this annually. More details can be discussed in an interview. Our office is not currently able to support individuals seeking sponsorship for visa – living in and working from the U.S. is a requirement. About the University of Utah Located in Salt Lake City, in the foothills of the Wasatch Mountains, the University of Utah is the flagship institution of the State of Utah’s system of higher education, a tier-one research institution with membership in the Association of American Universities ( AAU ) and Big 12 Athletic Conference. The University offers a strong benefits package, including a personal (401a) retirement account with employer contribution of 14.2% and immediate vesting, highly competitive health insurance, generous paid leave time, free public transportation pass ( UTA ), 50% tuition reduction for eligible employee and family members, and more: https://benefits.utah.edu/
Responsibilities
Collaborate closely with university leadership, faculty and staff to understand data needs and requests for information Conduct institutional research and engage in projects that identify actionable data-driven business solutions to achieve institutional goals related to student success initiatives Proactively monitor and evaluate trends, outcomes, and key performance indicators related to student success Query, interpret and analyze complex datasets from institutional data warehouses Develop and maintain interactive dashboards and comprehensive reports for campus stakeholders Maintain familiarity with evolving literature on student success and methodologies employed in a higher education context
Minimum Qualifications
Bachelor’s degree and 4-6 years of experience in institutional research, business analytics, data science or related field Proficiency in querying, manipulating and analyzing complex datasets Excellent interpersonal and communication skills and the ability to present complex data to both technical and non-technical audiences Demonstrated experience with data visualization tools such as Tableau, Microsoft Power Bi, etc. Experience with data querying languages such as SQL or data manipulation tools such R, Python, Excel, etc. Demonstrated ability to manage multiple projects and work collaboratively across teams
