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IT Professional -Business Intelligence & Data Analysis

Job in Saint Paul, Ramsey County, Minnesota, 55101, USA
Listing for: University of Minnesota
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 69000 - 89000 USD Yearly USD 69000.00 89000.00 YEAR
Job Description & How to Apply Below
Position: IT Professional 2-Business Intelligence & Data Analysis
About the Job

Consider a career with the University of Minnesota! The Research & Innovation Office (RIO) is seeking a Data Analyst for the Office of Research Information Systems (ORIS) to support the University's institutional research data and analysis needs. This position provides analyses, interpretations and recommendations based on data available from multiple University systems.

Please note:

This position is not eligible for H-1B visa sponsorship.

Position Duties and Responsibilities Business Intelligence & Data Analysis (50%)
  • Acquire, validate, analyze, measure, and interpret datasets for executive and management level decision making
  • Write and optimize complex SQL queries to extract, transform, and aggregate data
  • Conduct transaction trend analyses by data mining to identify patterns using business intelligence analytic tools and make sound recommendations
  • Conduct data modeling and analyses using accounting, economic, financial, and statistical principles and practices
  • Conduct ad-hoc data investigations to answer pressing operational and institutional questions from RIO and University leadership
  • Work closely with RIO leadership, the Vice President for Research, and other UMN Senior Administration to meet the University's institutional research data and analysis needs
Reporting & Development (20%)
  • Design, develop, and maintain reports, interactive dashboards, and analytical models to support strategic decision‑making across academic, administrative, and operational units
  • Validate incoming and historical data to ensure high standards of accuracy, integrity, and reconciliation across disparate databases
  • Work with University data exchange consortia to complete external ranking surveys
  • Develop and maintain a taxonomy of reports and queries as well as a reporting procedures repository
  • Provide timely and thorough documentation of requirements, dashboards, processes, best practices and essential domain knowledge to support continuity planning
  • Remain current with higher education analytics trends, technological tools, and institutional reporting standards
Stakeholder Engagement (20%)
  • Develop and present reports demonstrating RIO and University benchmarks using sophisticated tables, charts, and graphics to help lay audiences correctly understand the meaning of the analyses
  • Work with other data gathering and analysis units within the University, including but not limited to the ORIS Team, Office of Institutional Research, Libraries, Vice Provost for Faculty Affairs, University Services‑Space Management, Office of Information Technology, system campuses, and collegiate units
  • Participate in University‑wide data governance committees, data architecture discussions, and analytics user groups
  • Partner with functional units to refine their reporting requirements and translate operational needs into technical specifications
  • Manage high‑profile external data requests (FOI, press, community, and government) and work with the General Council's office to determine how the data should be provided
Additional Projects (5%)
  • Creatively address opportunities to help advance research goals of the institution
  • Other projects as assigned by supervisor
Professional Development (5%)
  • Serve as RIO representative and participate in appropriate meetings, conferences, and training

*** Please document qualifications on your resume***

Flexible Work Profile

The Research and Innovation Office (RIO) and the Office of Research Information Systems (ORIS) endorses a "work with flexibility" approach that offers a welcoming and flexible work environment where everyone is inspired to do their best. Work location options include working fully remote, partially remote, or entirely in the office and are based on the work of the position. Some on‑site work…

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