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Data Analyst

Remote / Online - Candidates ideally in
Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Inside Higher Ed
Remote/Work from Home position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 53223 - 78503 USD Yearly USD 53223.00 78503.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst 1

🔍Graduate School of Education, Stanford, California, United States New📁Information Analytics Post Date📅5 days ago Requisition #108035

Position Summary

The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full‑time Data Analyst 1 to join our team. The Data Analyst 1 will manage and analyze large amounts of data collected through the RAPID Survey Project, including performing statistical analysis and preparing reports for publication. This position is a 1‑year fixed‑term appointment that may be renewed based on performance and funding.

It is eligible for a remote work agreement with limited travel for convenings and events. Candidates must be eligible to work in the US; visa sponsorship is not available.

Core Duties
  • Identify and select usable data from subtle and complex data patterns.
  • Assess and produce relevant, standard, or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information.
  • Utilize fundamental processes and methods to validate data to ensure a high‑quality product.
  • Distribute reports to applicable agencies, researchers, management, and other internal end‑users and provide interpretation of data when needed.
  • Collect, manage, and clean datasets using an extraction and reporting programming language to ensure data integrity.
  • Research and reconcile data discrepancies occurring among various information systems and reports.
  • Collaborate with data managers to define and implement data standards and common data elements for data collection.
  • Assist with identifying new sources of data and methods to improve data collection, analysis, and reporting.
Qualifications
  • Bachelor’s degree and one year of experience or a combination of education and relevant experience.
  • Experience in a quantitative discipline such as economics, finance, statistics, or engineering.
  • Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
  • Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.
  • Strong listening, verbal, and written communication skills.
  • Ability to manage multiple activities in a deadline‑oriented environment; highly organized, flexible, and rigorously attentive to detail.
  • Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.
  • Ability to work with data of varying levels of quality and validity.
  • Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.
  • Ability to work effectively with multiple internal and external customers.
Preferred Education & Experience
  • Degree in psychology, education, developmental science, statistics, or an equivalent combination in a related field of social science.
  • Experience in a quantitative discipline such as statistics, data science, or quantitative psychology.
  • Experience using statistical software packages (R, SPSS, etc.).
  • Experience in advanced statistics, research methodology, and survey data analysis in social science fields (e.g., psychology, developmental science, education).
  • Experience with qualitative data analysis methods, coding, and interpretation.
  • Strong data visualization skills.
  • Familiarity with collaborative tools (e.g., Slack, Google Workspace, Dropbox).
  • Ability to work effectively with a geographically distributed team.
  • Ability to communicate effectively with both technical research team and non‑technical RAPID advisors.
  • Experience or interest in early childhood education research.
Physical Requirements
  • Sitting in place at the computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.
Compensation & Benefits

The expected pay range for this position is $53,223 to $78,503 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage reasonably expected to be paid for a


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