EOP Research Data Analyst 2

Stanford University-posted 2 months ago
$108,002 - $128,138/Yr
Full-time • Entry Level
Hybrid • Stanford, CA
Educational Services
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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., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data.

  • 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 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.
  • 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.
  • Substantial experience with MS Office and analytical programs, including Stata.
  • Excellent writing and analytical skills.
  • Ability to prioritize workload.
  • 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.
  • Career development programs
  • Tuition reimbursement
  • Generous time-off
  • Family care resources
  • Excellent health care benefits
  • Free commuter programs
  • Ridesharing incentives
  • Discounts and more
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