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We’re looking for an Analytics Engineer II to join Khan Academy’s Analytics Engineering (AE) team. You’ll help transform raw product, learning, and operational data into clean, reliable, and well-modeled datasets that power insights across the organization. You’ll collaborate closely with Data Infrastructure (DI), Data Analysts, and Product/Program teams to ensure that our data warehouse (BigQuery) and BI layer (Looker) serve as trusted sources for decision-making.
Job Responsibility:
Design, build, and maintain dbt models that transform raw event- and entity-level data into curated, analytics-ready datasets
Develop, document, and test semantic and reporting layers in Looker (LookML)
Partner with Analysts and cross-functional stakeholders to ensure consistent metric definitions and accurate data pipelines
Contribute to data modeling best practices, including naming conventions, incremental strategies, and schema evolution
Implement data quality tests and validation checks to ensure reliability of production datasets
Monitor and troubleshoot data issues, coordinating fixes with Data Infrastructure and Engineering
Requirements:
3+ years of deep, warehouse-centric analytics engineering experience
Strong SQL and dbt proficiency (including macros, Jinja, and incremental model strategies)
Hands-on experience building and maintaining Looker models (LookML, Explores, derived tables)
Familiarity with modern data stacks (e.g., BigQuery, Git, and basic CI/CD practices for testing and deploying data models)
Understanding of data modeling concepts (SCDs, star schemas, bridge tables)
Strong communication skills and comfort collaborating across technical and non-technical teams
Exposure to orchestration tools like Airflow
Familiarity with version control and collaborative development (Git, code review)
Nice to have:
Experience with BigQuery
familiarity with education-technology contexts
What we offer:
Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026
Remote-first culture
Generous parental leave
An exceptional team that trusts you
The chance to put your talents towards a deeply meaningful mission
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life