Staff/Senior Analytics Engineer (Data Science & Analytics)

- You are someone who thrives at the intersection of data and software engineering: you write production code, own the reliability of the systems you build, and drive cross-functional projects to completion without waiting to be unblocked - Experience owning the full lifecycle of analytics features: scoping, building, shipping, and maintaining - Hands-on experience using AI tools (LLM APIs, coding assistants, prompt engineering) to accelerate analytical work - Experience with dbt for data transformation and Kimball Dimensional modeling: writing models, tests, and documentation as part of a production analytics engineering workflow - 5+ years of experience in analytics engineering or a closely related role, with demonstrable delivery of production features - Solid SQL and experience working with large-scale cloud data platforms (GCP/BigQuery preferred) - Retail industry experience strongly preferred (store operations, inventory, merchandising, supply chain, or equivalent) - Proven ability to work across functions: you've partnered with Engineering, Product, or Commercial teams and know how to communicate tradeoffs and drive alignment - Familiarity with, pipeline orchestration (Airflow or similar), model monitoring, CI/CD for analytical workflows - Experience with data visualization tools (Looker, Tableau, or similar) for communicating findings to non-technical stakeholders

Join our Data Science & Analytics team as a Staff/Senior Analytics Engineer. In this…