Staff Analytics Engineer
Core
Design scalable analytical data models, build robust ETL/ELT pipelines, and define analytics engineering standards to support company-wide decision-making and AI-driven personalization.
Role type
Staff Analytics Engineer
Builds
Scalable data models, optimized ETL/ELT pipelines, 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, Airflow, data modeling, data governance, business acumen
Preferred skills
AWS or Google Cloud, event taxonomy definition, mentoring
Technologies
Looker, LookML, dbt, 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 Product Managers to streamline workflows; Drive data quality and governance initiatives; Influence company-wide data strategy; Act as technical leader and mentor.
Seniority
Staff, company-wide technical leadership & mentorship