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Apr 29, 2025, 00:00 AM
Title : Senior Analyst
Salary range low : 91297
Salary range high : 139821
Application due date : 2025-04-29
Job start date : 2025-04-29
Reports in office : Office of Institutional Research
Reports to : Associate Director and the Director of Data Analytics and Management
Number of staff reports : 0
Remote work :
City : New Brunswick
State : NJ
Institution : Rutgers University-Institutional Research
Meta Title : Senior Analyst
Is imported : Yes
Exclude salary : No
Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey’s preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.
For two consecutive years, Rutgers is ranked on Forbes’ list of America’s Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication’s 2023 list. Rutgers’ commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities.
Rutgers, The State University of New Jersey, is seeking a Senior Analyst for the Office of Institutional Research. The Senior Analyst reports to the Associate Director and the Director of Data Analytics and Management and provides strategic analysis for the office’s core activity of capturing, extracting, analyzing, and reporting data on faculty, students, staff and other critical academic, physical and financial information for leadership decision-making purposes and external reporting requirements.
Among the key duties of this position are the following:
  • Develops and assesses statistical models to support decision making in various areas, including enrollment management, academic program review, academic outcomes (retention/graduation), and other institutional priorities.
  • Works independently with broadly defined objectives, collects and synthesizes a wide variety of qualitative and quantitative data (academic, financial, operational, market, demographic) from disparate internal and external sources to generate useful and actionable insights that assist in the decision-making processes.
  • Leads and manages the analysis of international and domestic guides, rankings and analysis of other reporting projects of the Office and university (e.g. THE, US News, etc.)
  • Creates appropriate, well thought out institutional metrics, with detailed documentation, including project and meeting notes and data logic used for all work performed.
  • Manages assigned projects and workflow, providing status reports to supervisors.
  • Deliver’s and maintains data reports, reconciles data discrepancies and provides accurate and timely data.
  • In partnership with others, develops, manages, and maintains systems for collecting data important to central administration, school, departmental administration, and faculty.
  • Establishes a framework for research and evaluative projects and processes, using both qualitative and quantitative research and data analyses.
Minimum Education and Experience
  • Bachelor’s degree in applied mathematics, statistics, social science, or in a related scientific field.
  • A minimum of five years of relevant experience in higher education or a social science field combined with some higher education experience.
Required Knowledge, Skills, and Abilities
  • Statistical programming skills (Stata, SPSS, SAS, JMP, or R, etc.) and experience with visualization tools (Tableau, etc.)
  • Knowledge of data management and data analysis software.
  • Excellent analytical and conceptual problem-solving skills.
  • The ability to maintain a high level of accuracy and attention to detail.
  • Excellent communication skills; the ability to work collaboratively and collegiality with faculty and staff.
  • Ability to work independently; and the ability to work with individuals with diverse backgrounds and perspectives on data usage.
Preferred Qualifications
  • Master’s degree in applied mathematics, statistics, social science, or in a related scientific field or discipline.
  • Three years of experience of more advanced statistical analyses than OLS regression
  • Experience of predictive modeling with machine learning
  • Three years of experience with relational databases such as SQL Server
  • A strong technical aptitude and desire to keep up with the latest technological and data management advances.
  • Experience in Institutional Research related environments.
Equipment Utilized
  • Should have statistical programming skills and experience (Stata, SPSS, SAS, R, or JMP, etc.)

Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview.
Job Type :
  • FULLTIME

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