EOP Data Analyst

The Educational Opportunity Project (EOP) at Stanford University is working toward a future where all children have access to equitable educational opportunities. We are measuring educational opportunity in every community in America and have built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. We hope that researchers will use the data to generate evidence about what policies and contexts are most effective at increasing educational opportunity, and that such evidence will inform educational policy and practices.

We seek an equity-minded, quantitative specialist to join our team as an Educational Opportunity Project Data Analyst. The EOP Data Analyst will develop, implement, and maintain strong data management systems critical to the success of the Educational Opportunity Project. This includes preparing datasets for future public releases of SEDA on our website; cleaning, organizing, and harmonizing data from large longitudinal education datasets, including EDFacts, the Common Core of Data, Civil Rights Data Collection, among others; and supporting the development of research publications and reports for partners in the field (i.e., school districts and state departments of education). The ideal candidate is highly analytical, self-motivated, innovative, and a skilled communicator with a passion for using data to study educational opportunity. Experience using Stata and a strong statistical background (understanding of statistical modeling and practice developing, interpreting, and presenting analyses and research) is required for this role.

Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. You will be offered a hybrid schedule, in which you will be required to be onsite at least 3 days per week. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.

This is an exciting and dynamic time for the EOP as we create an innovative path to impacting the educational opportunity gap. It is also an exciting time for the Stanford Graduate School of Education where many new research programs are beginning, and faculty searches are underway for the very best in their fields. The EOP Data Analyst will play a key role in expanding our project’s capacity to achieve our mission. This position will be supervised by Dr. Erin Fahle, Executive Director of the EOP, and Dr. Sean Reardon, Faculty Director of the EOP. The analyst will also collaborate closely with other faculty, students, and research staff affiliated with the EOP.

Who We Are:

The Educational Opportunity Project is based at the Stanford University Graduate School of Education (GSE), which is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice, and policy. Our community includes over 60 faculty, 400 students, 250 staff, 14,000 alumni and countless people from the local and global communities we work with and impact. The work environment is dynamic, deadline-driven, fast-paced, and energetic. Please visit edopportunity.org for more information about our work and team.

What You’ll Do:

As a data analyst, you will develop, implement, and maintain strong data management systems critical to the success of the EOP. This includes writing Stata code to clean and construct complex datasets, drafting technical documentation, and performing statistical analyses aligned with the EOP team’s research plan. You will work closely with the broader EOP research team.

Your primary responsibilities will include:

We are looking for someone who has demonstrated experience in quantitative data management and Stata programming and who is dedicated to the EOP mission of conducting research to help ensure that all students have equal educational opportunities. This role requires strong programming skills, effective time and priority management, and an ability to work independently. A good sense of humor is appreciated (where appropriate) and a strong, dedicated work ethic is a must. 

• Cleaning, optimizing, and maintaining existing SEDA code and datasets, including producing written documentation of your process and decisions.
• Programming, testing, and integrating new code into the SEDA code architecture.
• Writing efficient code to implement complex statistical procedures under the guidance of senior staff.
• Developing data extracts, reports, memos, charts, graphs, and tables for use by researchers and for publication and presentation.
• Communicating with various stakeholders to answer and document specific questions about datasets, primarily the SEDA dataset.
• Collaborating with EOP faculty, data analysts, and graduate and undergraduate student research assistants on various projects.