Lead Data Analyst
Brown University

Job Info

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Lead Data Analyst
Brown University

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Job Description:

The Population Studies and Training Center (PSTC) at Brown University is seeking a Lead Data Analyst to work with Professor Emily Oster to prepare comprehensive state assessment datasets in support of the Zelma State Assessment Data Repository as part of zelma.ai.

Based out of Brown University, Zelma is the nation's leading repository of standardized student assessment data for Grades 3-8 from all 50 states and the District of Columbia. Launched in December 2023, Zelma consists of publicly-available state assessment data from state education agencies (SEAs), cleaned and organized into a consistent file format, and matched to district and school identifiers used by the National Center for Education Statistics (NCES). The repository enables researchers to more easily access and use comprehensive longitudinal datasets to explore and better support student educational outcomes.

The Lead Data Analyst will focus on the data cleaning and timely data integration of datasets as part of the Zelma data repository. They will also play a critical role in expanding the project's capacity to integrate newly-released assessment data into the repository, in collaboration with the larger Zelma team.

This 37.5 hour a week position is fully remote and 100% grant funded and is a fixed-term position for one year. There is the possibility of renewal based on satisfactory work performance and depending on funding source.

Education and Experience

• Bachelor's degree in a related field and 5 to 7 years experience or equivalent combination of education and experience.
• Experience in Stata required.
• Ability to work well both independently and collaboratively.
• Strong quantitative background and experience using Stata for statistical analyses.
• Experience analyzing and managing large complex data sets (familiarity with data from the National Center for Education Statistics is a plus).
• Experience in producing accurate and transparent data.
• Strong communication skills.
• Efficient time management skills.
• An excellent attention to detail.
• Possess a willingness and ability to support and promote a diverse and inclusive campus community.

Applicants must submit a cover letter and CV/resume.

Why Brown?

Brown University is a leading research university that is 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 impact the world.

Brown University offers 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. Read more about the benefits of working at Brown here.

All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.

Benefits of Working at Brown:

Information on the Benefits of Working at Brown can be found here.

Recruiting Start Date:

2024-10-08

Job Posting Title:
Lead Data Analyst

Department:
Population Studies and Training Center

Grade:
Grade 10

Worker Type:
Employee

Worker Sub-Type:

Fixed Term (Fixed Term)

Time Type:
Full time

Scheduled Weekly Hours:
37.5

Position Work Location:
Remote Eligible

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.









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