Senior Analytics Engineer - Brand Analytics (all genders)
Core
Design, build, and maintain production-grade analytical data transformations and metrics definitions in Google BigQuery to enable robust performance and budget reporting for bidding marketplaces.
Role type
Senior Analytics Engineer
Builds
Production-grade analytical data transformations, metrics definitions, and automated data validation frameworks for Retail Media Partners
Domain
Retail Media / Ad-tech / eCommerce
Deliverable
production ML models
Required skills
Advanced SQL, Google BigQuery, Modular data modeling, Incremental transformations, Data validation frameworks, Git version control, CI/CD pipelines, Workflow orchestration (Dagster)
Preferred skills
dbt (Data Build Tool), eCommerce/retail tech domain expertise, Web analytics tracking, Funnel parameters, Ad performance metrics
Technologies
Google BigQuery, Dagster, Git, GitLab CI/CD
Responsibilities
Design and maintain analytical data transformations and metrics definitions; Establish automated data validation frameworks and schema checks; Lead migration of complex analytical rules from legacy repositories; Partner with Data Engineers on data modeling boundaries; Set analytics engineering standards and code-reuse conventions
Seniority
Senior, hands-on IC
