Senior Data Analyst/Scientist, Marketing

Senior Data Analyst/Scientist, Marketing


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. This role will provide analytical support for our global marketing team to ensure our effectiveness in reaching our target learners. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions. 

About the role

  • Identify and measure success of marketing initiatives through goal setting, forecasting, value quantification, and monitoring/analysis of core metrics
  • Perform advanced exploratory analyses on large sets of data to extract insights that will guide our global marketing investments and initiatives
  • Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of email campaigns and suggest improvements to marketers
  • Contribute to development of self-service analytics tools to enhance data access for the marketing team
  • Work with our engineering teams to improve the tools and datasets we have for marketing operations

You may be a good fit if you have

  • 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
  • 3-5 years of experience in data science or analytics
  • Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
  • Knowledge about experiment design and causal inference
  • 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 & judgement, with a knack for asking the right questions
  • Prior experience working with marketing/sales functions 
  • Prior experience developing marketing data products is a plus (e.g. user segmentation, ESP integration) 

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

  • 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

Want to know more about us?

  • Sal’s TED talk from 2011
  • Sal’s TED talk from 2015
  • Our team:

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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