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Assistant Director Of Systems And Data Reporting

Job in Providence, Providence County, Rhode Island, 02912, USA
Listing for: Brown University
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Assistant Director of Systems and Data Reporting

Job location:

Hybrid – 3 days in Providence, RI office, additional work at Master’s Ceremony on Memorial Day weekend.

About Brown

Brown University is a leading research university distinct for its student‑centered learning and deep sense of purpose. Our students, faculty and staff are driven by the idea that their work will have an impact in the world.

The School of Professional Studies (SPS) brings a Brown education to new audiences of learners, supporting the development of skills and knowledge necessary for professional success and leadership. SPS partners with Brown departments, centers, institutes, and schools to develop degree and non‑degree programs, and to support recruitment, retention and placement success of master’s students.

Responsibilities

The Assistant Director of Systems and Data Reporting analyzes and reports on data for 35+ master’s degree programs, and a portfolio of non‑degree courses and certificates managed by SPS. The incumbent:

  • Designs, produces, validates, distributes, and updates quantitative and qualitative reports, queries, and data visualizations to support data‑informed decision making throughout SPS’s processes.
  • Provides timely and interpretive reports to the Director of Admissions & Data Analytics, Director of Executive Education, SPS Senior Leadership Team, and others to inform recruitment, communication, selection, and enrollment strategies.
  • Recommends improvements to SPS enrollments based on data analysis from multiple sources.
  • Works with the Associate Director of Master’s Admissions Systems and others to identify data needs and develop tools in relevant systems (Technolutions Slate, Tableau, IBM Cognos Analytics) to address those needs.
  • Collaborates across departments to ensure consistent data integrity and reporting across platforms.
Qualifications

Required

  • Bachelor’s degree or equivalent education and experience.
  • Four or more years of experience administering daily systems operations, preferably in a college admissions environment.
  • Three or more years of experience building CJ‑based queries and validating data in Technolutions Slate.
  • Four or more years of experience building work spaces and workflows in a CRM or relational database.
  • Four or more years of experience working with integrated student database systems.
  • Demonstrated understanding of complex table joins and database query language.
  • Experience creating data connections between Tableau Server and various data sources.
  • Proficiency developing dashboards that are intuitive, impactful, user‑friendly, multi‑faceted, and visually appealing.
  • Experience manipulating data from a relational database.
  • Ability to craft logic formulas and calculations to display data clearly.

Preferred

  • Previous experience in higher education.
  • Degree in business/data analytics, computer science, management information systems, or a closely related field.
  • Experience with Ellucian Banner or other student information and customer relationship management systems.
  • Experience developing and providing training to a professional, and potentially non‑technical audience.
Salary Grade

10

Additional Information

Applicants must submit a resume and respond to the following questions (no more than 1–2 pages) in lieu of a cover letter:

  • Data Integrity & Validation
    Describe your personal process for validating a new query or report before it reaches leadership. What specific “checks” or habits do you use to ensure data remains consistent when moving between systems like Slate, Tableau, and Banner?
  • Analytical Framework & Decision Support
    How do you translate complex metrics into clear recommendations for senior leadership? Additionally, how do you approach designing visualizations so that non‑technical stakeholders can make quick, informed decisions?
  • Data Analysis
    Tell us about a time an analysis you completed revealed an unexpected pattern or outcome. What was the situation, how did your analysis highlight this discrepancy, and how did you communicate the findings to your audience? What were the resulting recommendations or actions taken?
  • All offers of employment are contingent upon the successful completion of a background check.

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