Senior Analytics Engineer: Production Pipelines & AI

Simbe Robotics; Burlingame, Northern (CA, KY); Hybrid; USD 130,000 - 165,000; Full time

Job summary

Simbe Robotics in Burlingame, CA is seeking an Analytics Engineer to own production pipelines end-to-end, from ideation to delivery. You will partner with Product, Engineering, and Data Scientists to surface actionable insights from large-scale retail data.

This hybrid role requires building robust data marts, applying Kimball dimensional modeling with dbt, and leveraging AI tooling to accelerate analysis. You’ll translate signals from stores into decisions for internal teams and clients.

Qualifications

• 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)
• Hands-on experience using AI tools (LLM APIs, coding assistants, prompt engineering) to accelerate analytical work

Responsibilities

• Own production pipelines end-to-end — design, build, and maintain robust analytics pipelines that run reliably in production, including monitoring, alerting, and iterative improvement
• Scope and deliver features — take raw data and shape it into analytical models via Kimball Dimensional modeling with dbt
• Drive cross-functional delivery — proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight
• Apply AI tooling to accelerate work — leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development
• Translate retail data into decisions — connect store-level signals (inventory, on-shelf availability, task execution, etc.) to meaningful business outcomes for both internal teams and retail clients
• Raise analytical standards — establish best practices for reproducibility, documentation, and code quality across the team's data science and analytics work
• Build conversational data experiences — design and prototype AI agent or chatbot interfaces that allow internal or external users to query and explore retail data through natural language (nice to have)

Skills

Analytics engineering

dbt

SQL

Cross-functional collaboration

AI tooling

BigQuery

Retail data domain

Tools

dbt

Airflow

Looker

Tableau

Job description

Simbe Robotics in Burlingame, CA is seeking an Analytics Engineer to own production pipelines end-to-end, from ideation to delivery. You will partner with Product, Engineering, and Data Scientists to surface actionable insights from large-scale retail data.

This hybrid role requires building robust data marts, applying Kimball dimensional modeling with dbt, and leveraging AI tooling to accelerate analysis. You’ll translate signals from stores into decisions for internal teams and clients.