Enrollment and Retention Data Analyst

Western Illinois University•Macomb, IL

11h•Onsite

About The Position

The Enrollment and Retention Data Analyst supports the strategic data and reporting initiatives of the Office of the Provost and the University through the analysis, reporting, and communication of information to strengthen and promote student retention, recruitment, persistence, and graduation. The employee in this position works collaboratively with the Provost's Office and the Office of Student Success Enrollment Management to provide data and statistical analysis to inform Enrollment, Recruitment and Retention Initiatives including but not limited to: probability modeling to anticipate enrollment likelihood; financial aid econometrics and award strategy analysis; and the identification of new student enrollment and retention variables to inform student persistence and graduation outcomes. The Enrollment and Retention Data Analyst position manipulates data to assess information needed for an array of professional staff using contemporary reporting and analysis tools (e.g., R, SAS, Tableau, SPSS, etc.) using intermediate programing/coding and inferential statistical software (e.g., SAS, SPSS) to perform intermediate financial analysis following policies, procedures, and guidelines for large data sets and project management, relational file navigation, basic system analysis and design, and intermediate predicative analytics and data visualization. Intermediate financial analysis in the context of this position involves enrollment and revenue modeling; cost and productivity analysis; and aid and affordability studies. These financial analyses take the form of: Estimating net tuition revenue based on enrollment trends, discount rates, and aid distribution. Producing cohort revenue projections for retention or completion analysis. Modeling the financial impact of demographic shifts (e.g., fewer in-state students). Generating enrollment models for future cohorts. Calculating cost per credit hour, student FTE, or degree by department or college. Supporting program reviews with instructional cost, revenue contribution, and efficiency metrics. Analyzing faculty workload vs. SCH and student outcomes. Evaluating the financial effect of aid packages on yield and persistence. Supporting IPEDS or Common Data Set reporting with cost of attendance breakdowns. The employee in this position works within the higher education industry.

Requirements

Bachelor's in mathematics, Statistics, or related field
Eighteen (18) months of experience as a Business Development Analyst or related.
Eighteen months of relevant research, statistical analysis, and experience with an analyst role
Demonstrated ability to analyze, interpret, and communicate complex data
Excellent analytical and quantitative skills
Demonstrated proficiency with SQL, Python, R, SAS, Tableau, or SPSS.

Responsibilities

Supports the strategic data and reporting initiatives of the Office of the Provost and the University through the analysis, reporting, and communication of information to strengthen and promote student retention, recruitment, persistence, and graduation.
Works collaboratively with the Provost's Office and the Office of Student Success Enrollment Management to provide data and statistical analysis to inform Enrollment, Recruitment and Retention Initiatives.
Performs probability modeling to anticipate enrollment likelihood.
Conducts financial aid econometrics and award strategy analysis.
Identifies new student enrollment and retention variables to inform student persistence and graduation outcomes.
Manipulates data to assess information needed for an array of professional staff using contemporary reporting and analysis tools (e.g., R, SAS, Tableau, SPSS, etc.).
Uses intermediate programming/coding and inferential statistical software (e.g., SAS, SPSS) to perform intermediate financial analysis.
Follows policies, procedures, and guidelines for large data sets and project management, relational file navigation, basic system analysis and design, and intermediate predictive analytics and data visualization.
Estimates net tuition revenue based on enrollment trends, discount rates, and aid distribution.
Produces cohort revenue projections for retention or completion analysis.
Models the financial impact of demographic shifts (e.g., fewer in-state students).
Generates enrollment models for future cohorts.
Calculates cost per credit hour, student FTE, or degree by department or college.
Supports program reviews with instructional cost, revenue contribution, and efficiency metrics.
Analyzes faculty workload vs. SCH and student outcomes.
Evaluates the financial effect of aid packages on yield and persistence.
Supports IPEDS or Common Data Set reporting with cost of attendance breakdowns.