Sr Data Analyst, Simon Admissions

University of Rochester • City of Rochester, NY

5d • $64,200 - $96,200 • Onsite

About The Position

The Data Analyst, Admissions plays a critical role in supporting institutional decision-making by transforming admissions, financial aid, and revenue data into actionable insights. This position partners closely with Admissions, Financial Aid, Finance, and Academic Leadership to develop predictive models, revenue projections, and enrollment forecasts that guide recruitment strategy, scholarship optimization, and long-term financial planning. The ideal candidate combines strong analytical skills with an understanding of higher education enrollment dynamics and communicates complex findings clearly to non-technical stakeholders.

Requirements

• Bachelor's degree and 5 years of relevant experience required
• Ability to translate complex data into actionable insights required
• Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner required
• Strong problem-solving skills with a strategic mindset required
• Experience with data visualization tools such as Tableau, Power BI, or similar required
• Strong understanding of statistical analysis and predictive modeling required

Nice To Haves

• 2 years of experience in higher education, enrollment management, or finance preferred.
• Or equivalent combination of education and experience
• Strong experience with SQL and Excel preferred
• Experience building predictive models and forecasts using tools such as R, Python, or advanced Excel preferred.
• Demonstrated ability to analyze large datasets and communicate insights clearly preferred.
• Knowledge of admissions funnels, financial aid processes, and tuition revenue concepts preferred.

Responsibilities

• Build predictive models to support application and enrollment yield, financial aid impact on student decision-making, and revenue optimization and discount rate management.
• Create short- and long-term enrollment forecasts by program, modality, and student segment.
• Develop revenue projections incorporating tuition, scholarships, institutional aid, and enrollment scenarios.
• Perform scenario modeling (best case / expected / worst case) to support leadership planning and budget development.
• Analyze admissions funnel data (inquiry through enrollment) to identify trends, conversion drivers, and opportunities for growth.
• Develop dashboards and recurring reports on application volume, yield, financial aid utilization, net tuition revenue, and 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 through modeling of 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 clear 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 to support leadership initiatives and special projects.
• Other duties as assigned.

Benefits

• The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level