LandEarly
Synced from Workday · Sep 25

Data Analyst

University of RochesterSchlegel HallPosted Sep 25, 2026
Data AnalystMid
Apply with one profileSave & get alerts

Mirrored from University of Rochester's own Workday careers system · refreshed hourly

$64k–$96k
Compensation
1,393
Other open University of Rochester roles
Sep 25
Posted
Workday
Applicant system
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
Predictive Modeling & Forecasting

  • 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.

View original posting on Workday

What applying to University of Rochester usually looks like

Based on publicly available information, candidates applying through workday to University of Rochester can typically expect an online application requiring a profile, resume upload, and completion of standardized questionnaires, which may include voluntary self-identification and eligibility questions. Given the wide range of roles, from clinical and healthcare positions to administrative, technical, and facilities-related jobs, screening criteria likely vary by department. Applicants may be asked to complete assessments or skills-based questions depending on the position. After submission, candidates can generally expect an automated confirmation, followed by review from recruiters or hiring managers. The process may include multiple stages, such as phone screening, panel discussions, or in-person interviews, though this can vary widely. Response times vary, and candidates are encouraged to monitor their Workday account and email for updates throughout the process.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Set up in minutes · Cancel anytime · No contract

Get startedSee how it works

Keep exploring

What this role pays, where else it is open, and how to write the application.

Data Analyst JobsUniversity of Rochester JobsBusiness Analyst JobsData Analyst salariesRemote data analyst jobsData & Analytics hiring reportData Scientist JobsAnalytics Manager JobsAll companiesState of the job market
Data Analyst
University of Rochester · Schlegel Hall
Apply