Staff Analytics Engineer
Core
Designing scalable analytical data models, ETL/ELT pipelines, and semantic layers to power a two-sided marketplace and AI-driven personalization for a global language learning platform.
Role type
Staff Analytics Engineer
Builds
Scalable data models, robust ETL/ELT pipelines, BI semantic layer (Looker), and data products for experimentation and AI teams.
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, ETL/ELT pipeline design, data governance
Preferred skills
AWS or Google Cloud data ecosystems, event taxonomy definition, mentoring data professionals
Technologies
dbt, Looker, Airflow, SQL, Python, 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/semantic layer; partner with Data Scientists and PMs to streamline workflows; drive data quality and governance initiatives; influence company-wide data strategy; mentor analytics engineers.
Seniority
Staff, company-wide technical leadership & mentorship
