Lead Institutional Research Analyst

This position serves as a member of the data science group in DAIR that provides in-depth data analysis, modeling, interpretation, and communication for projects related to the university's major initiatives under but not limited to the NextGen, Provost's and SEP strategic plans.

Lead reporting and analysis projects to support University decision-making processes. This primarily involves quantitative data querying, automation, and analysis methods and will address areas such as academic affairs, student recruitment and success, and other areas as needed for the University, its processes, and environment. Incumbent of the position is expected to understand the complexity of data structures and commonly used methodologies in statistical analysis and reporting for institutional research purposes and make independent decisions on using sound approaches and interpret findings to different stakeholders accordingly. The position strengthens the user service capacity for data requests, analysis, automation, and reporting.

This position is On-site.

Minimum Qualifications:

• Requires a bachelors degree and five years of relevant experience.Education beyond the minimum degree requirement may count toward required experience if deemed relevant by the hiring manager.

The degree requirement ensures candidates possess the analytical, technical and leadership skills essential for managing institutional research and data analysis. These competencies are typically developed and validated only through the comprehensive curriculum and experiential learning inherent in a formal degree program.

Preferred Qualifications:

• Master's degree
• Two or more years of Institutional Research or directly related experience
• Previous work experience in a higher education environment.
• Experience developing data visualizations and reports using business intelligence and analytic platforms: Power BI, Tableau, etc.
• Experience with statistical analysis
• Analytical software and programming experience in tools such as R, SAS, or Python
• Data retrieval and transformation skills: SQL, Power Query, Excel, etc.
• Data automation experience: Power Automate, Snowflake, etc.
• Data and analysis presentation skills

Sponsorship eligibility:

Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship.

Please submit the following documents:

• Cover Letter
• Resume
• List of 3 or more Professional References

Applications close on: January 16th, 2026

$72,000.00 - $77,000.00