Senior Analytics Engineer
Core
Design and evolve complex data models, optimize ETL/ELT pipelines, and build a scalable BI layer to power business decisions and experimentation for a global EdTech platform.
Role type
Senior Analytics Engineer
Builds
Data models, pipelines, and self-service analytics dashboards for a multi-terabyte ecosystem serving 100,000+ tutors and learners in 180 countries.
Domain
EdTech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data modeling, ETL/ELT pipeline development, data governance, CI/CD for analytics, automated data quality monitoring
Preferred skills
DBT, Looker (LookML), Airflow, AWS or Google Cloud data ecosystems, event taxonomy definition, KPI standardization
Technologies
DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo
Responsibilities
Lead architecture and design of complex data models; Develop and optimize sophisticated ETL/ELT pipelines; Own and enhance the BI layer (Looker via LookML); Provide technical leadership to data science teams; Champion engineering best practices including version control and CI/CD; Drive initiatives for data reliability and documentation; Strategically influence company-wide data strategies.
Seniority
Senior, hands-on IC
