ABOUT US
The Stanford University Graduate School of Education (GSE) 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, 200 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.
POSITION SUMMARY
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. This person will be a core member of our research team and contribute to the development of the Stanford Education Data Archive (SEDA), including: cleaning, optimizing, and updating existing SEDA code, datasets, and documentation for future public releases 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 can commit to the position for at least 2 years and brings strong Stata programming and communication skills along with a passion for using data to inform policies and practices that increase educational opportunity.
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.
Your primary responsibilities will include:
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.
Core duties:
• Collect, manage, and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
• Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
• Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
• Collaborate with faculty and research staff on data collection and analysis methods.
• Provide documentation based on audit and reporting criteria to investigators and research staff.
• Communicate with various stakeholders to answer questions about SEDA.
• Program, test, and update the SEDA code architecture, datasets, and documentation.
To be successful in this position, you will bring:
• Bachelor’s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
• Substantial experience with MS Office and analytical programs.
• Strong writing and analytical skills.
• Ability to prioritize workload.
In addition, preferred qualifications include:
• Proficiency and substantial experience using Stata statistical software, including the Mata programming language.
• Experience working with large datasets and familiarity with data organization (e.g., data structures, record layouts, and file structures).
• Experience planning and executing quality assurance/data validation systems for large data sets.
• Familiarity with advanced statistical methods (e.g., hierarchical linear modeling).
• Demonstrated knowledge or interest in education research.
• Extreme attention to detail.
The expected pay range for this position is $64,480 to $95,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Why Stanford is for You:
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
• Freedom to grow. We offer career development programs, tuition reimbursement, and course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
• A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
• A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
• Discovery and fun. Stroll through historic sculptures, trails, and museums.
• Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
How to Apply:
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.
• Finalists must successfully complete a background check prior to working at Stanford University.
• This position is a 1-year fixed term, with the option for renewal based on performance and funding.
• Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.
• You will be offered a hybrid or full-time schedule, in which you will be required to be onsite at least 4 days per week. All Hybrid and Remote work arrangements are reviewed annually by HR.
Consistent with obligations under the law, the University will provide reasonable accommodation to any employee with any disability who requires accommodation to perform the essential functions of his or her job.
Stanford is an equal opportunity employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or another other characteristic protected by law.