Senior Research Analyst
Listed on 2026-02-03
-
IT/Tech
Data Analyst, Data Scientist -
Research/Development
Data Scientist
Position Information
Working Title: Senior Research Analyst
Classification
Title:
Institutional Research Analyst IV
Posting Details
Priority Application Date (Posting will remain open until filled):
February 15, 2026 @ 11:55pm PT
Hiring Preference Eligible on-campus applicants in California State University Employees Union (CSUEU) Bargaining Units 2,5,7, and 9 will be given first consideration in the recruitment.
Position Summary
The Senior Research Analyst serves as a technical expert supporting Institutional Research & University Reporting by designing, developing, managing, and implementing research and analytical projects that inform institutional planning, effectiveness, accreditation, and compliance. The position is responsible for conducting complex analyses, building dashboards, managing institutional datasets, and ensuring the timely submission of reports to internal and external stakeholders.
In addition to reports and dashboards for campus use, the incumbent also contributes to the preparation and dissemination of research findings for professional presentations, conferences, and other scholarly or systemwide venues, representing the institution as a subject matter expert ensuring research efforts are visible and aligned with CSU and national best practices.
This role contributes to advancing a culture of evidence-based decision-making by producing strategic data-informed insights, promoting data literacy, and supporting continuous improvement initiatives across campus.
FLSA: Exempt (not eligible for overtime compensation)
Anticipated Hiring Range: $8,256 per month (Step 14) - $9,297 per month (Step 20)
CSU Classification Salary Range: $6,382 per month (Step
1) - $9,297 per month (Step 20)
Salary step placement will be determined based on relevant qualifications and professional experience.
Best-in-class Benefits: Benefits information available from the university
CSU Total Compensation: Information available from the university
Salary Grade/Range: 1
Recruitment Type: Regular (Probationary)
Time Base: Full-Time
Pay Plan: 12 months
Work Hours: Monday-Friday, 8am-5pm; other hours as required.
Telecommuting Options: Hybrid work flexibility is available, on an opt-in basis.
Please visit the following webpage for more information on the CSU Telecommuting Program:
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Department Information
Information Resources & Technology (IRT) partners with faculty, staff, and students to provide essential information technology services that support mission critical activities and innovative technology solutions that facilitate the accomplishment of strategic campus goals at Sacramento State.
Directory: csus.edu/irt
Minimum Qualifications
Equivalent to a bachelor’s degree in a related field and five years of relevant experience. Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis. An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.
Required Qualifications
- Bachelor’s degree in a relevant field or equivalent combination of education and professional experience.
- Demonstrated experience designing, developing, and implementing research and analytical projects of significant scope and complexity.
- Demonstrated experience generating and analyzing qualitative and quantitative data, including statistical and data science skills.
- Demonstrated experience in institutional research, assessment and/or data analytics/business intelligence offices
- Experience with compliance and accreditation-related reporting (e.g., ERS, IPEDS, CSU, or equivalent).
- Ability to design and apply predictive, inferential, and scenario modeling techniques to support decision-making, enrollment planning, program evaluation, and institutional effectiveness.
- Proficiency in data visualization and dashboard development (e.g., Tableau, Quick Sight, Cognos).
- Experience with database management and query tools (e.g., SQL, People Soft, Campus Data Warehouse).
- Proficiency with statistical software (SPSS, SAS, Stata, and/or R) and ability to apply…
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