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Associate Director, Data Analytics

Application Procedure:

For full consideration, applicants must apply for the Associate Director, Data Analytics at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter and resume for review.

Posting Open Date:  June 9, 2025

For Full Consideration, Apply by:  June 29, 2025

Open Until Filled:  Yes

Job Duties

  • Engages in Advanced Statistical Research by:
    • Developing forecasting and modeling analytics to foster student success;
    • Identifying, planning, and executing research analyses in support, and in anticipation of, school/college and senior leadership planning initiatives; and
    • Designing and developing data dashboards based on analyses that inform and advance strategic decision-making.
  • Ensures Data Integrity by:
    • Developing standardized practices that ensure accuracy of data extracted from base sources to create official reporting data files;
    • Coordinating with Mason Insight Data to Analytics Solutions initiatives that ensure data accuracy and integrity in source data and final census files;
    • Providing technical and analytical expertise to campus end users; and
    • Continuously exploring efficiencies in the development of streamlined data processes.
  • Responds to and Complies with Federal and State Reporting Mandates by:
    • Partnering with campus data custodial offices, e.g., Admissions, Registrar, Financial Aid, to identify critical data needs and processes; and
    • Serving as the Reports Coordinator to the State Council of Higher Education of Virginia.
  • Keeps abreast of industry developments and trends through participation in professional development, conferences, and workshops.
  • Performs other related duties as assigned.

Job Qualifications

Required Qualifications:

  • Master’s degree in quantitative disciplines such as Business Administration, Public Policy, Statistics, Educational Research, or related discipline; or equivalent combination of education and experience;
  • Demonstrated experience in an institutional research related area (generally two or more years);
  • Experience using SAS, SPSS, or other comparable program for programming and complex analyses;
  • Strong knowledge of advanced multivariate statistical techniques and research design methodologies;
  • Working knowledge of ERP such as Banner, PeopleSoft, SAP;
  • Knowledge of business intelligence and analytics tools such as MicroStrategy, Tableau, SAS analytics/miner, SAS Viya;
  • Excellent communication skills, both verbal and written;
  • Strong critical thinking skills and ability to convey complex ideas to multiple audiences;
  • Ability to manipulate and analyze data from multiple internal and external sources including identifying key variables that allow for the creation of unique and accurate data sets; and
  • Ability to work effectively and independently.

Preferred Qualifications:

  • Full-time related professional experience of at least five years; and
  • SAS certification preferred.

Institution Description

Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200-degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason’s diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.

If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!

George Mason University, Where Innovation is Tradition.

Benefits

Application Due Date: 2025-06-29
Job Start Date: 2025-08-18
Salary: Dependent on qualifications and experience.
City: Fairfax
State/Province/Region: VA
Institution: George Mason University
Reports To: Director, Data Analytics
Staff # Reporting to Position: 0
Reports In Office: Institutional Effectiveness and Planning

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