Backed by SOSV.
About the role
We are looking for an experienced Analytics Engineer to join the Data Science & Analytics team, owning production-grade data pipelines from ideation through delivery. This is an engineering-forward role, you'll partner closely with Product Management, Engineering, and Data Scientists to ship reliable, user-facing features that surface insights from our retail data at scale. Establish organized data marts to empower self-serve analytics and AI powered insights.
What they're looking for
- 5+ years of experience in analytics engineering or a closely related role, with demonstrable delivery of production features
- Experience with dbt for data transformation and Kimball Dimensional modeling: writing models, tests, and documentation as part of a production analytics engineering workflow
- Solid SQL and experience working with large-scale cloud data platforms (GCP/BigQuery preferred)
- Experience owning the full lifecycle of analytics features: scoping, building, shipping, and maintaining
- Proven ability to work across functions: you've partnered with Engineering, Product, or Commercial teams and know how to communicate tradeoffs and drive alignment
- Retail industry experience strongly preferred (store operations, inventory, merchandising, supply chain, or equivalent)
More about this role
San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required)
Must currently reside locally; this is not a remote-eligible role.
Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions.
We are looking for an experienced Analytics Engineer to join the Data Science & Analytics team, owning production-grade data pipelines from ideation through delivery. This is an engineering-forward role, you'll partner closely with Product Management, Engineering, and Data Scientists to ship reliable, user-facing features that surface insights from our retail data at scale. Establish organized data marts to empower self-serve analytics and AI powered insights.
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.
Leveling (Senior or...
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