Lead Analytics Engineer (Looker)
Core
Architect the data semantic layer and lead a team of Analytics Engineers to transform raw data into actionable insights for Corporate, Marketing, CS, Sales, and GTM Ops teams.
Role type
Lead Analytics Engineer (Looker)
Builds
Centralized Looker semantic models (LookML), automated data pipelines, and self-service analytics capabilities.
Domain
SaaS marketplace / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Looker (LookML, Liquid, Admin, API), SQL (advanced), Python, CI/CD, Data Modeling (Kimball, Data Vault), Cloud Data Warehouses (Snowflake, BigQuery), dbt, Git
Preferred skills
Migration experience from other tools, Agentic AI in conversational analytics
Technologies
Looker, GitLab, Python, Snowflake, BigQuery, dbt, Jira
Responsibilities
Lead and mentor the Analytics Engineering team; Design and maintain the Looker semantic layer; Enforce coding standards and CI/CD pipelines; Partner with Data Engineering on schema optimization; Translate business needs into scalable data models; Automate manual workflows using Python and APIs.
Seniority
Senior, hands-on IC with leadership responsibilities