Sr Data Analyst, Simon Admissions

University of Rochester; Seibis; On-site; EUR 57,000 - 85,000; Full time

Job summary

The University of Rochester is seeking a Data Analyst, Admissions to transform admissions, financial aid, and revenue data into actionable insights. You will collaborate with Admissions, Financial Aid, Finance, and Academic Leadership to develop predictive models, revenue projections, and enrollment forecasts that guide recruitment and budgeting.

The ideal candidate has strong analytical skills, experience with data visualization tools, and an understanding of higher education enrollment

Qualifications

• Bachelor's degree and 5 years of relevant experience required.
• 2 years of experience in higher education, enrollment management, or finance preferred.

Responsibilities

• Transform admissions, financial aid, and revenue data into actionable insights.
• Develop predictive models, revenue projections, and enrollment forecasts.
• Create dashboards and recurring reports on enrollment, financial aid utilization, and tuition revenue.

Skills

Tableau

Power BI

SQL

Excel

R/Python

Education

Bachelor's degree

5 years experience

Tools

Tableau

Power BI

SQL

Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

224 Hutchison Rd, Rochester, New York, United States of America, 14627

Opening

Worker Subtype: Regular

Time Type

Full time

Scheduled Weekly Hours

40

Department

230722 Simon Grad Sch Admis/Reg

Work Shift

UR - Day (United States of America)

Range

UR URG 111

Compensation Range

$64,200.00 - $96,200.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities

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.

Essential Functions

• 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, 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.

Data Analysis & Reporting

• 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.

Financial Aid & Revenue Strategy

• 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.

Strategic Partnership & Decision Support

• 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.

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 equivalent combination of education and experience

Knowledge, Skills And Abilities

• 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
• 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.

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.