Sr Institutional Research Analyst (Finance)
Department: Enrollment Services
Salary: $63,300-$74,300 Annually
Description:
Designs, plans and conducts institutional research to support the strategic decision making of senior administration and helps advance university goals through careful design and implementation of studies to answer empirical policy and planning questions. Applies advanced knowledge and expertise in the design and statistical analysis involved in conducting research studies in the department of Institutional Research.
1. Analyzes data using various statistical and other software programs to provide statistical and summary reports for strategic planning and program development.
2. Conducts research and studies on the institution, including design of studies, data collection, analysis, and reporting. Analyses data using appropriate statistical models and assists stakeholders in the interpretations of the data.
3. Provides data to senior administration and consults with key constituents' system-wide regarding appropriate research design, methodology, sampling, and evaluation protocol.
4. Responds to ad-hoc information requests.
5. Consults and provides guidance on design, data collection, analyzing and reporting research studies.
6. Coordinates with faculty and researchers on special reports, projects and analyses as requested.
7. Serves as project lead on the design and analysis of complex data sets used to address research questions relevant to institutional planning decisions. 8. Performs other job-related duties as assigned.
MQ: Requires application of advanced principles, techniques and theory in a professional discipline or a thorough general business management knowledge. Knowledge of this level is typically obtained through a directly job-related Master's degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. Requires a minimum of five (5) years of directly job-related experience.
Additional Job Posting Information:
The position will focus on the following competencies:
• Querying data from institutional databases and merging large datasets
• Managing data in Excel or another data management software.
• Generating descriptive and inferential statistical analyses and creating summary reports.
• Visualizing data in reports and interactive dashboards.
The ideal candidate for this position should possess the following:
• Experience in higher education student success and/or strategic enrollment management.
• Experience creating and maintaining dashboards in Tableau.
• Experience writing queries in PeopleSoft (an Oracle database) or similar database.
• Experience in predictive analytics modeling.
• Experience in forecasting (e.g., enrollment, retention, graduation).
Experience with the following programs is a plus:
• Microsoft Office (e.g., Word, Excel, PowerPoint)
• Statistical analysis (e.g., R, SPSS, SAS, Stata)
• Data visualization (e.g., Tableau, Power BI)
• Surveys (e.g., Qualtrics)
The following documents are required:
• Cover letter delineating the manner in which your work experience applies to the posting.
• Resume
• Salary History
• Transcript
• Three work references. The hiring department expects you to name current or past supervisors.
NOTE: We will maintain your confidentiality and notify you in advance of making contact with any of your references. References will be contacted only after the interviewing process has been completed.
Incomplete applications will not be reviewed.
- Department is willing to accept education in lieu of experience.
- Department is willing to accept experience in lieu of education.
All positions at the University of Houston-System are security sensitive and will require a criminal history check.
The policy of the University of Houston-System and its universities is to ensure equal opportunity in all its educational programs and activities, and all terms and conditions of employment without regard to age, race, color, disability, religion, national origin, ethnicity, military status, genetic information, sex (including gender and pregnancy), sexual orientation, gender identity or status, or gender expression, except where such a distinction is required by law.
