Job Description:
Reporting to the College’s Chief of Staff, the Academic Data Analyst & Systems Engineer acts as an internal consultant to implement data-informed, technology-enabled continuous improvement of the College’s operations with the goal of supporting undergraduate student learning at Brown. The incumbent consults and collaborates with faculty, staff, and students to build out data products and analyses across the College’s administrative and advising operations. These efforts enable data-driven decision making by administrators, enhance the College’s efforts around advising, diversity and inclusion, and programming, with the goal of improving students’ experience of Brown’s Open Curriculum, academic advising resources, and academic programs.
This position develops and implements the procedures, scripts, tools, and training necessary to ensure that the information stored within various systems is integrated and shared in a timely, effective, and actionable form with various campus constituencies. Specifically, the incumbent will gather, analyze, and present data in a compelling, thought-provoking fashion that encourages data-informed improvements to the College’s operations; develop, test, and implement algorithmic solutions for complex tasks and resource allocation in the College; integrate disparate data sources/systems for complex administrative processes aligned with office-wide and programmatic priorities; lead the inter-office course feedback team and manage Brown’s course feedback system; and participate in the administrative life of the College as a colleague and academic advisor for first-year and sophomore students.
The candidate’s qualifications, education, and skills will determine if the position is filled at a grade 10 or grade 11.
Qualifications
- Grade 10: Required: Bachelor’s degree and 3+ years of related work experience in a quantitative, computational, or software development field and/or equivalent combination of education and experience. Preferred: Advanced degree at least one year of related work experience (Advanced degree in Applied Mathematics, Biomedical Informatics, Bioinformatics, Computer Science, Engineering, Physics, Statistics, or with a similar technical and computational emphasis).
- Grade 11: Required: Bachelor’s degree and 5+ years of related work experience in a quantitative, computational, or software development field and/or equivalent combination of education and experience. Preferred: Advanced degree with 3+ years of related work experience (Advanced degree in Applied Mathematics, Biomedical Informatics, Bioinformatics, Computer Science, Engineering, Physics, Statistics, or with a similar technical and computational emphasis).
- Experience in a quantitative, computational, or software development field required
- A track record of delivering products or services.
- Experience with programmatic data analysis (e.g., using Pandas in Python) and large-scale data methods, including database experience with SQL (e.g., Oracle, MySQL).
- Experience with visualizing multidimensional data (e.g., Seaborn, D3, etc.).
- Experience with Google Apps Script (e.g., workflow automation using Docs, Forms, Gmail, Sheets, etc); prior work with Gmail Add-Ons would be a plus.
- Experience developing simple, mobile-friendly web applications (e.g., using Django, Flask) with SSO authentication would be a plus.
- Willingness and ability to learn and apply new computational methods that may be most effective for specific tasks (e.g., linear optimization for matching tasks).
- Ability to work both independently and as a team member.
- Demonstrated ability to effectively and creatively collaborate, consult, and solve problems.
- Ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments.
- Ability to work with, contextualize, and use sound judgment and discernment to distribute and disseminate confidential and sensitive data and other information.
- Effective at communicating with audiences with varying technical backgrounds.
- Demonstrated ability to work with faculty, staff, and students from diverse backgrounds to promote an inclusive campus climate and advance the goals of the University’s and the College’s Diversity and Inclusion Action Plans.
- Preferred: Understanding of national higher education context; interest in applying technology to support student learning.
- Background Check: Criminal and education verification.
Recruiting Start Date:
2023-10-13
Job Posting Title:
Academic Data Analyst & Systems Engineer
Department:
The College
Grade:
Grade 11
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
37.5
Position Work Location:
Onsite
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
EEO Statement:
Brown University is an E-Verify Employer.
As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.
