Staff/Senior Analytics Engineer, Data Science & Analytics (DSA)

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.

Position Overview

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 Staff) will be determined through the interview process based on your background and technical depth.

Key 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)
• 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
• Preferred Qualifications: 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
• Why You'll Love Working with Us: Ownership that matters — you'll have real scope over systems and features that run in production and directly affect how our retail partners operate
• High-signal environment — focused team where your work is visible and your technical judgment is trusted
• Retail at scale — Simbe's data spans thousands of stores and billions of shelf observations, a genuinely rich and challenging domain
• At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide.
• Simbe Values: R. E. T. A. I. L.
• Result Driven
• We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
• Empathetic
• We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
• Transparent
• We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
• Agile
• We are agile and always eager to learn. We quickly adapt to changes and customer needs.
• Innovative
• We are bold and innovative, with an intense focus on product design and user experience.
• Leaders
• We strive for excellence. We are accountable, the best at what we do, and leaders in our field.