Detailed description of the position
Brown University’s Population Studies and Training Center (PSTC) is looking for a Lead Data Analyst to assist Professor Emily Oster in creating extensive state assessment datasets for the Zelma State Assessment Data Repository, which is a component of zelma.ai.
Zelma, based at Brown University, is the leading repository of standardized student assessment data from all 50 states and the District of Columbia for grades 3 through 8. Zelma, which went live in December 2023, combines district and school identifiers used by the National Center for Education Statistics (NCES) with publicly available state assessment data from state education agencies (SEAs). The data are cleaned and organized into a consistent file format. The repository makes it easier for researchers to use comprehensive longitudinal datasets to investigate and support student educational outcomes more effectively.
The Lead Data Analyst will concentrate on the timely data integration and data cleaning of Zelma datasets. Together with the larger Zelma team, they will also be crucial in enhancing the project’s capacity to incorporate newly released assessment data into the repository.
This 37.5-hour-per-week, grant-funded position has a fixed term of one year and is entirely remote. Based on satisfactory work performance and the source of funding, renewal is possible.
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Education and Experience A bachelor’s degree in a related field, five to seven years of experience, or a combination of education and experience that is comparable, are required.
Stata expertise is required.
ability to work effectively both independently and in teams.
a solid quantitative background and prior experience performing statistical analyses in Stata.
familiarity with data from the National Center for Education Statistics is a plus; experience analyzing and managing large, complex data sets is also helpful.
expertise in the production of transparent and accurate data.
excellent communication abilities
ability to effectively manage one’s time.
excellent focus on the small things.
Have the ability to support and promote a campus community that is diverse and inclusive.
Cover letters and resumes are required of applicants.
Brown, why?
Brown University is a prominent research institution that stands out for its emphasis on student-centered instruction and profound sense of purpose. The idea that their work will have an impact on the world is what drives our students, faculty, and staff.
Brown University makes it possible to balance work and life; summer hours, winter break, and a comprehensive benefits package that includes paid holidays and time off each year; Health, dental, vision, tuition assistance, retirement, wellness, employee discounts, and other benefits are available.
Here, you can learn more about the advantages of working at Brown.
A satisfactory criminal background check and education verification are required for all employment offers from Brown University.
The advantages of working at Brown
You can find information about the advantages of working at Brown here.
Beginning of Recruitment:
2024-10-08 Job Description:
Department with the Lead Data Analyst:
Center for Population Studies and Training Grade:
Type of 10th-grade worker:
Worker Sub-Type: Employee
Type of Fixed-Term (Fixed-Term) Time:
Scheduled weekly hours for full time:
37.5 Position and Workplace:
Guidelines for Remote Eligible Submissions:
Please be aware that you must submit an application form for each position for which you believe you are qualified in order to be considered for any staff position at Brown University. For upcoming positions, applications are not stored in a database. Please include a resume and cover letter with each application for the position.
Do You Still Have Queries?
Statement on Equality of Opportunity:
Brown University is a company that uses E-Verify.
As an EEO/AA employer, Brown University protects caste and prohibits discrimination, harassment, and retaliation based on a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, or gender expression, or any other protected characteristic under applicable law.
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