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Academic Data and Operations Specialist

Job in West Warwick, Kent County, Rhode Island, 02893, USA
Listing for: Brown University
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 65000 - 85000 USD Yearly USD 65000.00 85000.00 YEAR
Job Description & How to Apply Below
Job Description:

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.

Brown University offers a flexible work/life balance; summer hours, winter break and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts and more. To learn about Brown University’s benefits, visit the University Human Resources web page for further information.

About the Opportunity:

The College invites applications for an Academic Data and Operations Specialist. If you would like to join a team of dedicated colleagues working to support the intellectual and personal development of students through individualized education, please consider submitting an application. The mission of the College is to support undergraduate student learning and to ensure that each and every student is engaged, empowered, and transformed by their education ponsibilities:

The Academic Data and Operations Specialist serves as a core technical and operational resource for the College, helping to support, accelerate and streamline college processes. The incumbent reports to the College’s Chief of Staff.

The College increasingly uses technology and data in its support of undergraduate students. This position will assist in the support of undergraduate students by helping existing college staff obtain, transform and take action on data collected through disparate data  addition to maintaining and operating existing automation tools and data workflows, the Academic Data and Operations Specialist will work closely with the Academic Data Analyst and System Engineer to identify opportunities for new systems and to design, test, and implement those systems.

The incumbent will assist the Academic Data Analyst and System Engineer in gathering, analyzing, and presenting complex data to support proactive decision-making by the College’s leadership and divisional staff. This will include both fulfilling requests from the Dean of the College and other College staff members as well as proactively identifying areas where analysis can help the College make better decisions.

This work will cover both one-time exploratory analyses around key decisions as well as the creation and maintenance of long-term tracking dashboards and reports.

Additionally, the Specialist coordinates the operational workflows of the University-wide Course Feedback process and manages its technical system. The incumbent also actively participates in the administrative life of the College, participating in team and divisional meetings, as well as committees and ad hoc working groups

Major Responsibilities Workflow Automation Gather, Analyze, and Present Data Implement and Test Algorithmic Solutions Coordinate Course Feedback Processes Operational support

Qualifications:

Education and Experience Bachelor’s degree, preferably in Applied Mathematics, Computer Science, Statistics, or a highly technical computational discipline; and 1–2 years of related work experience (or an equivalent combination of education and experience).Job Competencies

Experience with google sheets or excel formulas and automations.

Familiarity with data analysis and visualization tools such as Tableau or Cognos Analytics.

Familiarity with at least one programming language and an interest in growing software development and data analytics skills

Strong collaborative skills, with an ability to manage multiple deliverables independently under general supervision.

Ability to apply algorithmic logic (e.g.,…
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