Data Analyst II – Research Analytics

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. This position is eligible for remote work. Shift Monday - Friday, 8 am to 5 pm CST Minimum Qualifications Bachelor's degree or an equivalent combination of education and relevant experience, and at least 4 years of experience from which comparable knowledge and skills can be acquired is necessary. Preferred Qualifications 3+ years of experience in designing and maintaining data pipelines, workflows, and semantic models 2+ years of demonstrated growth with increasing responsibility and complexity clearly shown and articulated in your application 2+ years experience with statistical and programming languages and tools, such as Python and advanced Excel (e.g., Power Query, macros) 1+ years of experience working with MS Power BI and Fabric 1+ years experience working in higher education, preferably in research administration, finance, and/or analytics 1+ years experience with SQL and familiarity with relational/dimensional data 1+ years using artificial intelligence tools and technologies to improve business processes, enhance decision-making, and increase operational efficiency Knowledge of sponsored projects administration preferred. Customer service experience (of any kind) preferred. Experience with high visibility and/or fast turnaround deliverables preferred. Anticipated Hiring Range Salary Range: $70,000 - $90,000 per year Grade: GGS 012 University Title: Data Analyst II Internal applicants can determine their University title by accessing the Talent Profile tile in myHR. Application Materials Application, resume, and cover letter. Sponsorship Information Employment visa sponsorship is not available for this position. Benefit Eligibility This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/departments-staff/human-resources/benefits-retirement Equal Employment Opportunity The University of Missouri is an Equal Opportunity Employer. To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278. 60685