Staff Analytics Engineer
Core
Design and evolve core analytical data models, build scalable ETL/ELT pipelines, and own the BI/semantic layer to enable self-service analytics and data-driven decision-making at a global scale.
Role type
Staff Analytics Engineer
Builds
Scalable analytical data models, robust ETL/ELT pipelines, and a self-service BI/semantic layer (Looker)
Domain
Ed-Tech / Two-sided marketplace / AI-enhanced learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, dbt, Looker/LookML, Airflow, data modeling, data governance, data quality
Preferred skills
AWS or Google Cloud, event taxonomy definition, KPI standardization, mentoring
Technologies
dbt, Looker, Airflow, AWS, Google Cloud
Responsibilities
Lead design of core analytical data models; Define analytics engineering standards; Build and optimize ETL/ELT pipelines; Own and evolve BI and semantic layer; Partner with Data Scientists and PMs to streamline workflows; Drive data quality and governance initiatives; Influence company-wide data strategy; Mentor analytics engineering team
Seniority
Staff, company-wide technical leadership & mentorship