Educational Opportunity Project (EOP) Research Data Analyst 2

The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The 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, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact.

The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., the Stanford Education Data Archive (SEDA). This position will support work to expand and improve SEDA through contributing to the development of new linking and estimation methods, the cleaning and integration of new years of data into SEDA, and the release of new metrics in the database.

POSITION SUMMARY

The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role.

This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work), subject to operational need. Interested candidates should include a resume and cover letter describing why they are interested in this position at this stage in their career.

CORE DUTIES:

• Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness.
• Identify potentially problematic data, make corrections, and eliminate the root cause of data problems.
• Build replicable and efficient software code for data cleaning and estimation.
• Design and customize reports based upon data in the database.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics.
• Create documentation for all code.

MINIMUM REQUIREMENTS

Education & Experience:

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

Knowledge, Skills and Abilities:

• Substantial experience with MS Office and analytical programs, including Stata.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

Certifications and Licenses:

None

DESIRED QUALIFICATIONS

• Master's or doctoral degree preferred.
• 3+ years experience in Stata statistical programming preferred.
• 3+ years experience supporting quantitative social science research projects preferred.
• Experience managing and analyzing large datasets preferred.
• Experience developing efficient code architectures preferred.
• Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus.
• Experience working with K-12 or postsecondary education data a plus.

PHYSICAL REQUIREMENTS

• Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
• Occasionally use a telephone.
• Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.*

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.

The expected pay range for this position is $108,002 to $128,138 per annum

Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.