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Student Success Analyst, Institutional Research & Academic Analytics

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: University of Cincinnati
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About the Office

The Office of Institutional Research & Academic Analytics collects, coordinates, researches, validates, reports, analyzes, and interprets data about the University of Cincinnati. It coordinates federal, state, and other mandatory reporting requirements and provides routine and ad‑hoc reports and analyses to executive management and across the University to assist in informed decision‑making.

Job Overview

Apply statistical, predictive, and qualitative methods to support data‑informed decision‑making across student success, enrollment management, and institutional planning. Develop models, analytical tools, and visualizations that surface actionable insights for practitioners and leaders within the Provost Office and across the University. Translate complex analytics into accessible intelligence that supports the full student journey from enrollment to graduation.

Essential Functions
  • Develop and apply statistical and predictive models (e.g., regression, classification, forecasting) to support institutional priorities including student retention, enrollment, and scholarship strategy.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies in large institutional datasets, with an emphasis on student success outcomes.
  • Partner with academic and administrative units to deliver practitioner‑facing analytics, presenting findings in formats that are accessible, actionable, and appropriate for non‑technical audiences including advisors, program staff, and college leadership.
  • Incorporate qualitative methods (e.g., survey analysis, interview synthesis, thematic coding) alongside quantitative approaches to provide richer context for student success and recruitment questions.
  • Design, build, and maintain dashboards and data visualizations for internal stakeholders and leadership; publish outputs appropriate for web‑based dissemination.
  • Collaborate with Digital Technology Solutions (DTS) and data governance teams to access, transform, and validate data needed for analysis.
  • Connect data across multiple sources and phases of the student lifecycle—admissions, advising, academic performance, and post‑graduation outcomes—to support integrated, evidence‑based planning.
  • Track and standardize key performance indicators related to student success, enrollment, and recruitment initiatives.
  • Employ third‑party data resources (e.g., National Student Clearinghouse, ACT, College Board) to contextualize institutional trends and support benchmarking.
  • Maintain documentation for models, analytical workflows, and data definitions to support transparency and reproducibility.
  • Perform related duties based on departmental need.
Required Education
  • Bachelor's Degree in a quantitative or data‑intensive field such as Statistics, Mathematics, Data Science, Computer Science, Information Systems, or a related social science discipline with a strong analytical component.
Required Experience
  • Three (3) years of relevant experience in data analysis or applied analytics, including demonstrated proficiency in R or another analytical programming language (Python, SAS, or SQL) and experience developing reports or models from large datasets.
Additional Qualifications Considered
  • Master's degree in a relevant field.
  • Higher education or institutional research experience.
  • Experience with student success, retention, or enrollment analytics.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Familiarity with qualitative research methods or mixed‑methods analytical approaches.
  • Familiarity with machine learning concepts or tools and interest in expanding into applied ML work.
  • Exposure to cloud data environments or warehouse platforms (e.g., Snowflake, Big Query).
Physical Requirements / Work Environment
  • Office environment/no specific unusual physical or environmental demands.
Compensation and Benefits

UC offers an exceptional benefits package designed to support your well‑being, financial security, and work‑life balance. Eligibility may vary by position and FTE status. Salary/Hourly Pay Rate Information: [[]].

  • Competitive salary based on experience.
  • Comprehensive health coverage (medical, dental, vision, prescription).
  • Flexible spending accounts & wellness programs.
  • Professional development & mentorship opportunities.
Equal Opportunity Employer

Building a workplace where all qualified applicants will receive consideration for employment, including individuals with disabilities and protected veterans.

Employment Verification

UC is an E‑Verify employer. If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I‑9 employment verification process.

REQ: [[]]

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