Student Success Analyst, Institutional Research & Academic Analytics

Job Title Student Success Analyst, Institutional Research & Academic Analytics Posting Start Date 6/17/26 Work Arrangement Hybrid About the Office of Institutional Research & Academic Analytics The mission of the Office of Institutional Research & Academic Analytics is to collect, coordinate, research, validate, report, analyze, and interpret data about the University of Cincinnati. The office coordinates many of the 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. The Student Success Analyst will report to the Director of Student Success and Research Analytics, as part of the Academic Analytics team. The key functions of this team are: Analyzing trends using historical data, market trends, scholarship modeling, and other relevant bodies of information to create predictive enrollment models and recruitment optimization recommendations. Supporting student recruitment and student success research by leveraging analytic expertise and best‑in‑class products vis data visualization tools such as Tableau and Power BI. Providing expertise in using mixed methods (quantitative/qualitative), survey methodology, and online data collection platforms, such as Qualtrics. This position will have a hybrid work arrangement. 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, BigQuery). Physical Requirements/Work Environment Office environment/no specific unusual physical or environmental demands. Application Process Information Attach a cover letter, along with a CV/resume. Compensation and Benefits UC offers an exceptional benefits package designed to support your well‑being, financial security, and work‑life balance. Salary/Hourly Pay Rate Information: starting at $73,000 (may be higher based on experience and qualifications). University benefits include tuition remission for you and eligible dependents, retirement plans, health coverage, flexible spending accounts, professional development, and generous time‑off policies. Equal Opportunity Employer UC is an E‑Verify employer. We are an Equal Opportunity Employer, building a workplace where all qualified applicants will receive consideration for employment, including individuals with disabilities and protected veterans. Application Deadline To apply you must create a profile and submit a complete job application through the UC applicant portal. We are unable to consider “easy apply” applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at View email address on click.appcast.io. #J-18808-Ljbffr University of Cincinnati