Academic Data And Operations Specialist

Brown University; Providence (RI); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Brown University is seeking an Academic Data and Operations Specialist to support undergraduate data needs and streamline college processes. You will collaborate with the Academic Data Analyst and System Engineer to transform data into actionable insights and automate workflows.

The role emphasizes data visualization, programming, and cross-team communication, with hybrid work options and a focus on improving decision-making across the College.

Qualifications

• Bachelor's degree in Applied Mathematics, Computer Science, Statistics, or a highly technical computational discipline with 1–2 years of related work experience.

Responsibilities

• Workflow automation to streamline college processes.
• Gather, analyze, and present data to support decisions.
• Implement and test algorithmic solutions for operational data challenges.
• Coordinate the Course Feedback processes and manage its technical system.
• Provide operational support and contribute to team and committee work.

Skills

Python/Pandas

Data analysis

Excel formulas

Data visualization

Algorithmic thinking

Education

Bachelor's degree in a technical field

Tools

Tableau

Cognos Analytics

SQL

Job description

Academic Data And Operations Specialist

Brown University

Job Description:

About Brown:

Brown University is a leadingresearch university distinct for its student-centered learning anddeep sense of purpose. Our students, faculty and staff are drivenby 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 timeoff, annual paid holidays; benefits offerings including health,dental, vision, tuition assistance, retirement, wellness, employeediscounts and more. To learn about Brown University's benefits,visit the University HumanResources web page for further information.

About the Opportunity:

The College invites applicationsfor an Academic Data and Operations Specialist. If you would liketo join a team of dedicated colleagues working to support theintellectual and personal development of students throughindividualized education, please consider submitting anapplication. The mission of the College is to support undergraduatestudent learning and to ensure that each and every student isengaged, empowered, and transformed by their education atBrown.

Responsibilities:

The Academic Data and Operations Specialist serves as a coretechnical and operational resource for the College, helping tosupport, accelerate and streamline college processes. The incumbentreports to the College's Chief of Staff.

The College increasingly uses technology and data in its support ofundergraduate students. This position will assist in the support ofundergraduate students by helping existing college staff obtain,transform and take action on data collected through disparate datasources.

In addition to maintaining and operating existing automation toolsand data workflows, the Academic Data and Operations Specialistwill work closely with the Academic Data Analyst and SystemEngineer to identify opportunities for new systems and to design,test, and implement those systems.

The incumbent will assist the Academic Data Analyst and SystemEngineer in gathering, analyzing, and presenting complex data tosupport proactive decision-making by the College's leadership anddivisional staff. This will include both fulfilling requests fromthe Dean of the College and other College staff members as well asproactively identifying areas where analysis can help the Collegemake better decisions. This work will cover both one-timeexploratory analyses around key decisions as well as the creationand maintenance of long-term tracking dashboards and reports.

Additionally, the Specialist coordinates the operational workflowsof the University-wide Course Feedback process and manages itstechnical system. The incumbent also actively participates in theadministrative life of the College, participating in team anddivisional meetings, as well as committees and ad hoc workinggroups

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, ComputerScience, Statistics, or a highly technical computationaldiscipline; and 1-2 years of related work experience (or anequivalent combination of education and experience).

Job Competencies

• Experience with google sheets or excel formulas andautomations.
• Familiarity with data analysis and visualization tools such asTableau or Cognos Analytics.
• Familiarity with at least one programming language and aninterest in growing software development and data analyticsskills
• Strong collaborative skills, with an ability to manage multipledeliverables independently under general supervision.
• Ability to apply algorithmic logic (e.g., optimization models,graph theory) to operational data challenges.
• Excellent interpersonal and communication skills; ability tobuild trust with faculty and partners across academic units.Customer-focused, and customer service oriented.
• Demonstrated ability to identify and resolve complexoperational or logistical challenges using independent judgment anddiscretion where solutions are not clearly prescribed.
• Ability to use judgment and discretion and maintainconfidentiality with sensitive personal information.
• Demonstrated ability to design clear data visualizations andtranslate complex technical metrics for non-technicalstakeholders.

Preferred Competencies:

• Proficiency with programmatic data analysis (e.g.,Python/Pandas) and database queries via SQL.
• Experience using Google Apps Script or similar tools toautomate office workflows.

Salary Grade:

9

Additional Information:

All offers of employment are contingent upon successful completionof a background check.

Benefits of Working at Brown:

Please review additional information on the Benefits of Working atBrown.

Recruiting Start Date: 2026-09-22

Job Posting Title: Academic Data and Operations Specialist

Department: The College

Grade: Grade 9

Worker Type: Employee

Worker Sub-Type: Regular

Time Type: Full time

Scheduled Weekly Hours: 37.5

Position Work Location: Hybrid

Submission Guidelines: The designated Position WorkLocation for each position determines the approved modalityof work. Positions are classified based on the operational andbusiness needs of the department and may be designated as on-site,hybrid, or remote. Employees with a designated position work location as remote mustreside and perform their work in a state where Brown University isregistered to do business. Brown University is a registeredemployer in the following states: Rhode Island, California,Colorado, Connecticut, Florida, Maryland, Massachusetts, New York,New Hampshire, New Jersey, North Carolina, Washington, D.C.

Please note that to be considered for a staff position at BrownUniversity, you must submit a separate application for eachposition you wish to be considered for. Applications are reviewedonly for the specific position to which they are submitted and arenot automatically considered for future openings.

This position is not eligible for visa sponsorship.

Still Have Questions?

If you have any questions you may contact [e-mail].

Brown is an E-Verify Employer.

EEO Statement:

Brown University provides equal opportunity and prohibitsdiscrimination, harassment and retaliation based upon a person'srace, color, religion, sex, age, national or ethnic origin,disability, veteran status, sexual orientation, gender identity,gender expression, or any other characteristic protected underapplicable law, in the administration of its policies, programs,and activities. The University recognizes and rewards individualson the basis of qualifications and performance. The Universitymaintains certain affirmative action programs in compliance withapplicable law.