Senior Data Analyst/ Scientist, Learning

Website Khan Academy


Khan Academy is a nonprofit on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of high-quality instructional and practice resources that empowers learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.

Khan Academy is looking for an experienced data analyst/ scientist to join our growing team. In this role, you will be specializing in and continuing to drive our thought leadership around learning analytics. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich educational datasets, and work collaboratively across the organization to drive critical strategic decisions.


  • You will drive and own the continued development of learning analytics, including the research on metrics, self-service tooling (e.g. reports & dashboards), and support of business team partners who use them to drive operational decisions
  • You will conceptualize and execute strategic deep-dive analyses to mine for patterns and causal relationships, and build models that provide insight into how our users interface with our content to achieve learning outcomes
  • You will work with our content and learning science teams to enable them to use data and data insights to learn about learning, drive strategy and make decisions
  • You will collaborate with our efficacy researchers on measuring learner outcomes
  • You will be a strong partner to our analytics engineering team and work self-sufficiently with data pipelines (e.g. ETLs) on an as-needed basis
  • You will contribute to our thought leadership about our unique approaches to learning analytics


  • A passion for Khan Academy’s vision and a desire to change the world
  • Background in applied math, statistics, economics, or a related technical field
  • 5+ years experience in data science or analytics, with prior experience in learning analytics, education assessment or psychometrics
  • Knowledge of advanced statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
  • Strong SQL foundations & ability to manipulate data using R or Python
  • Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
  • Strong business intuition & jugement, with a knack for asking the right questions
  • Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)

About our benefits

We may be a non-profit, but we reward our talented team extremely well!

  • Highly competitive salaries and annual bonuses
  • Ample paid time off as needed – we are about getting things done, not face time
  • Generous parental leave
  • Flexible work and time-off schedules to encourage work-family balance and holidays
  • Great location: short walking distance to Caltrain and downtown Mountain View.
  • Awesome team events, on-sites and off-sites, company parties and BBQs, and weekly board game nights
  • A fun, high-caliber team that trusts you and gives you the freedom to be brilliant
  • The ability to improve real lives and the opportunity to work on high-impact software and programs that are already defining the future of education
  • Affinity groups where parents, black and hispanic/latino, women and gender minorities, and LGBTQIA+ identified folks come together
  • And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life

To learn more about our work:

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status.

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