Data Resource Analyst

Position Summary

This position is primarily responsible for the end-to-end architecture of dashboards for departmental, divisional, and executive level leadership in Residential and Hospitality Services (RHS). This role focuses on automating data pipelines (Backend) to drive real-time strategic visualizations (Frontend) for high-stakes RHS project portfolios. Other typical daily responsibilities include data collection, mining, analysis, reporting, and visualization, in conjunction with the Lean Enterprise and Assessment (LEA) team.

This position will also support qualitative research methods (e.g., focus groups, interviews).

• Leadership at both the Executive Vice President for Administration (EVPA) and RHS levels: to present and share data, research, data analytics, survey, and process improvement results.
• Management: to assist with surveys, research, data analytics, and process improvement requests for their unit.
• LEA team: to share information and assist with projects and process improvements.
• EVPA and RHS Team Members: to facilitate focus groups, conduct/compile survey results and data analytics, and assist with process improvements.

• Dashboard Frontend:
  Experience translating complex analytical findings into interactive dashboards for data-informed decision making.
• Software Mastery:
  Proficiency in Power BI (DAX/Power Query) or Tableau, SQL and Microsoft Power Platform (Power Apps/Power Automate).
• Dashboard Backend Data Connection:
  Proven ability to collaborate with IT departments to integrate backend systems with institutional data sources, ensuring the successful deployment of dynamic, real-time dashboard features.
• Data Architecture & Automation:
  Proven track record of designing automated workflows and architecting live-syncing data bridges to eliminate manual reporting and data entry.

• Assessment Proficiency: A strong understanding of the assessment cycle, including creating measurable outcomes, selecting appropriate methodologies.
• Research Methods:
  Proven experience applying both qualitative and quantitative research methods and translating findings into actionable process improvement recommendations and measurable outcome changes to inform institutional change.

• Descriptive Analytics:
  Proficiency in applying descriptive statistics to summarize datasets and identify meaningful patterns or trends in order to assist in operational oversight.
• Visual Storytelling:
  Experience translating complex analytical findings into visuals and reports that inform decision making that make operational abnormalities and project risks immediately visible to leadership.
• Performance Indicators Modeling:
  Expertise in defining and visualizing performance indicators (PIs) that make operational abnormalities and project risks immediately visible to leadership, management and stakeholders.

• Presentation
  
  Skills:
  
  Proven track record presenting complex data analytics and results effectively to both executive and operational audiences.

All positions in RHS are designated as critical status. In the event of a university closure, modification, or suspension of operations due to snow or other emergency conditions, you will be expected to make all reasonable attempts to report to work as scheduled for the duration of the closure/suspension. If you have an approved remote work agreement to work a portion of your normally scheduled work hours remotely, you may be called upon to work on-site to serve the MSU community.

If you have a permanent, on-going, and/or pervasive condition that may impede your ability to work on-site, please contact the Resource Center for Persons with Disabilities (RCPD) .edu/get-started.

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 Statistics, Data Analytics, Computer Science, Information Systems, Educational Administration, or a related technical field; three to five…