Senior Research Data Analyst — Data Resource Analyst II

• Design and implement impact and ROI analysis for all strategic ORI initiatives, such as the National Security Initiative, internal funding programs (SPG, DFI, MSURF Post Doctoral Scholars Program), professorship programs and more. 

• Perform deep-dive analyses into institutional and departmental budgetary trends and changes, clearly communicating the narrative, macrolevel trends, and financial shifts. 

• Formulate clear, narrative-driven reports, executive summaries, and data visualizations to directly support executive decision-making. 

• Interpret findings to support recommendations based on the results of the analysis.  

• Develop training materials and provide guidance on reporting tools, dashboards, and data interpretation. 

Special Projects and Committees (5%) 

• Conduct special projects and serve on cross-functional committees related to data initiatives and policy.  

Knowledge equivalent to that which normally would be acquired by completing one or two years of post-bachelor degree work, such as a Master's in Finance, Accounting, Economics, Business Analytics, Information Science, or another highly quantitative field. Three to five (3–5) years of related and progressively more responsible or expansive work experience in complex data analysis, financial modeling, strategic budgeting, or institutional forecasting; or an equivalent combination of education and experience. 

• Higher Education/Research Experience: Prior financial or analytical experience within a major R1 research university, academic medical center, or complex organization dealing with federal grants, contract accounting, or Uniform Guidance compliance. 

• Business Intelligence Tools: Demonstrated experience designing, building, and supporting executive-level dashboards, reports, and data visualizations using Power BI, Tableau, or comparable business intelligence platforms to support data-informed decision-making. 

• Strategic Problem Solving: Proven track record in deficit management, structural turnaround strategies, or designing self-sustaining revenue models for operational units. 

• Communication: Exceptional verbal and written communication skills, with a proven ability to "tell the story behind the numbers" to non-financial stakeholders