(Remote Work) Data Analyst, District Success – Khan Academy

Job Overview

• Job Title Data Analyst, District Success
• Hiring Organization Khan Academy
• Company Website https://www.khanacademy.org/
• Remote Locations US, Canada
• Job Type  Remote, Full-Time

Khan Academy is looking for a Data Analyst to join our growing team. This role will be responsible for enabling data-driven decisions for our Districts team. The ideal candidate will have strong analytical skills, a passion for clean and actionable data, and experience delivering reports and insights that drive business impact. Your work will focus on three key areas: business intelligence, custom reporting & analytics, and data management.

Job Responsibilities

Business Intelligence

• Design, build, and maintain accurate dashboards and reports to monitor key metrics in our BI tool, Looker.
• Provide actionable insights and recommendations to drive performance improvements.
• Partner with stakeholders to deeply understand the qualitative aspects of the data,  measure KPIs and ensure alignment on goals.

Custom Reporting & Analytics 

• Work with our district stakeholders (internal and external) to understand unique data needs and deliver tailored reports that are built on our existing reporting
• Build ad hoc queries and custom reporting to address specific questions and challenges for the internal District team
• Translate complex data sets into clear, digestible presentations for non-technical audiences

Data Management

• Ensure data accuracy, completeness, and security through rigorous processes and controls.
• Collaborate with relevant operations & engineering teams to improve data reliability and accuracy
• Adhere to data governance policies to enhance data quality and consistency

Job Requirements

• 2+ years of experience as a Business Intelligence Analyst, preferably in an edtech or B2B environment.
• Proficiency in SQL and experience working with large datasets.
• Expertise with using and creating data models for business intelligence tools (e.g., Looker).
• Familiarity with data management tools and practices (e.g., ETL processes, data validation).
• Strong analytical mindset with the ability to derive insights from data.
• Exceptional communication skills, capable of translating technical data into actionable insights.
• 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.
• Attention to detail and a commitment to data accuracy and integrity.
• Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”

Employee Benefits

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

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority.
• Remote-first culture – that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position is $107,712 – $134,640 USD / $145,552 – $181,940 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range.  Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

How To Apply

Click “Apply” below to fill in the application form!