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UO
University of Missouri-Columbia
Data Analyst II - Research Analytics
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$77,856 / year median in Missouri
+13% projected growth
Job Description
Data Analyst II - Research Analytics University of Missouri-Columbia parental leave, paid time off United States, Missouri, Columbia 801 Conley Avenue (Show on map) Aug 18, 2026 Hiring Department Division of Research, Innovation, and Impact Job Description The Research Analytics team in the Division of Research, Innovation, and Impact (RII) is seeking a Data Analyst II who will translate business needs into technical solutions that support the university's research mission. This person will create sustainable data analytics and reporting workflows that will impact the entire university. Daily tasks include using business intelligence tools (e.g. Power BI) to create reports, query objects, analyze and interpret data trends, and provide guidance and thought-leadership to functional and technical teams. This role will independently lead projects that may involve multiple departments and serve as a research analytics subject matter expert. A successful candidate will have demonstrated problem solving, communication, and organizational skills. Previous experiences in research administration, research analytics, higher education, and the implementation of artificial intelligence tools is preferred. A competitive candidate will submit a relevant cover letter that complements, not repeats, a concise and organized 1-2 page resume. Interview may include request for demonstration of analytical skills. Key Responsibilities
- Develop end-user reports aligned with stakeholder priorities, including interactive dashboards and impactful data visualizations using Power BI, Excel, and R.
- Design, develop, and maintain data pipelines and workflows (e.g., in Microsoft Fabric) to support reporting and analytics needs. Extract, transform, and load data from multiple internal university as well as external data sources.
- Perform process improvement and implement solutions to innovate technical solutions, improve data quality, and increase efficiency across the research enterprise.
- Effectively translate technical analyses into clear, actionable business insights. Professionally communicate and collaborate with colleagues from multiple university departments.
- Engage in other research administration activities related to supporting our researchers using data-informed approaches, such as reviewing funding programs, creating collaboration networks, and utilizing artificial intelligence.