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Data Analyst

Khan Academy14 days ago
Remote
San Francisco Bay Area
$107,712 - $121,176/yearly
Mid Level

Top Benefits

Flexible spending account (FSA)
Dental insurance
Optical insurance

About the role

Who you are

  • A passion for Khan Academy’s mission and a desire to improve educational outcomes through better decision-making
  • At least 2 years of experience in analytics, business intelligence, or a related role (internships/academic projects welcome)
  • Solid SQL skills (comfortable querying, joining tables, and validating results)
  • Experience building dashboards and visualizations in a BI tool (e.g., Looker, Tableau, Power BI)
  • Interest in or experience with AI tools (e.g., LLMs) and a willingness to learn how to build and iterate on AI-driven solutions (such as internal agents) to scale analytics with a strong sense of “what makes a dashboard actually useful.”
  • Comfort working with spreadsheets and slide decks to present metrics clearly and consistently
  • Strong attention to detail and a healthy skepticism: you like validating numbers before sharing them widely
  • Clear communication skills, especially with non-technical stakeholders, and the ability to explain definitions and caveats without making everyone’s eyes glaze over
  • Ability to manage multiple requests, prioritize effectively, and meet deadlines for recurring reporting cycles
  • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization
  • Familiarity with Python or R is a plus (helpful for light automation or deeper analysis, but not required)
  • Prior experience in education, nonprofits, or funder-facing reporting is a plus

What the job involves

  • Khan Academy is looking for a Data Analyst I (24 months fixed-term) to support high-visibility reporting and dashboarding across the organization
  • This role will be a key partner to senior leadership and the Philanthropy team, ensuring stakeholders and funders have timely, accurate, and well-explained metrics
  • We’re looking for someone who enjoys making data usable — clean definitions, consistent reporting, and clear visuals that help people make decisions
  • Produce recurring reporting for senior leadership, including maintaining and updating Monthly Business Review (MBR) slides with company-level KPIs and narrative context (what changed, why it matters, and what to watch next)
  • Build, own, and continuously improve self-serve dashboards for organizations/teams (e.g., Philanthropy and cross-functional leaders), ensuring metrics are clearly defined, quality checked for data issues, well-documented, and trusted
  • Respond to reporting requests from Philanthropy (including funder reporting), translating questions into clear requirements, pulling the right data, and delivering outputs on schedule
  • Align on metric definitions, reconcile discrepancies, and partner with data/engineering where instrumentation or pipeline issues impact reporting
  • Create lightweight analyses to add context to reporting (segmentation, comparisons over time, funnel summaries), and communicate findings in plain language
  • Improve reporting workflows by templating, documenting processes, and automating repeatable tasks, while shifting toward building AI-powered, self-serve access via AI agents that can respond to stakeholder questions in real time

Benefits

  • Flexible spending account (FSA)
  • Dental insurance
  • Optical insurance
  • Life insurance
  • Performance bonus
  • 401K plan
  • Family medical leave
  • Diversity program
  • Pet friendly workplace
  • Work from home opportunities
  • Health insurance
  • Affinity groups where Parents, Black, Hispanic/Latino, Women and Gender Minorities, and LGBTQIA+ identified folks come together

About Khan Academy

E-Learning Providers
1001-5000

Khan Academy is a non-profit educational organization created in 2006 by educator Salman Khan to provide "a free, world-class education for anyone, anywhere"​.

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