Sr Data Analyst, Simon Admissions

Support institutional decision-making by turning admissions and financial data into predictive models, forecasts, and leadership-ready insights. Responsibilities Build predictive models to support: Application and enrollment yield Financial aid impact on student decision-making Revenue optimization and discount rate management Create short- and long-term enrollment forecasts by: Program Modality Student segment Develop revenue projections incorporating: Tuition Scholarships Institutional aid Enrollment scenarios Run scenario modeling (best case, expected, worst case) to inform leadership planning and budget development Analyze admissions funnel data from inquiry through enrollment to identify: Trends Conversion drivers Growth opportunities Develop dashboards and recurring reports for: Application volume Yield Financial aid utilization Net tuition revenue Cohort performance Monitor KPIs related to enrollment, discount rate, melt, retention, and revenue Ensure data accuracy and integrity across CRM, SIS, financial aid, and finance systems Analyze scholarship effectiveness and ROI Support aid packaging strategy by modeling award elasticity and enrollment outcomes Partner with Finance to align enrollment forecasts with institutional budget planning Evaluate pricing strategies and program-level profitability Translate analytical findings into recommendations for Admissions, Financial Aid, and senior leadership Support recruitment strategy by identifying high-value student segments and markets Present insights to cross-functional stakeholders using clear visualizations and narratives Provide ad hoc analysis for leadership initiatives and special projects Perform other duties as assigned Requirements Ability to translate complex data into actionable insights Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely Strong problem-solving skills with a strategic mindset Experience with data visualization tools such as Tableau, Power BI, or similar Strong understanding of statistical analysis and predictive modeling Strong experience with SQL and Excel Experience building predictive models and forecasts using R, Python, or advanced Excel Demonstrated ability to analyze large datasets and communicate insights clearly Knowledge of admissions funnels, financial aid processes, and tuition revenue concepts Technologies Tableau Power BI SQL Excel R Python CRM SIS Minimum Education & Experience Bachelor's degree and 5 years of relevant experience required 2 years of experience in higher education, enrollment management, or finance preferred Or an equivalent combination of education and experience Location: Rochester, NY (onsite) Salary: USD 64,200 - 96,200 per year #J-18808-Ljbffr DataJobs.com