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

Simbe; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Burlingame Office

Job summary

Simbe is seeking an Analytics Engineer to own production-grade data pipelines, surface insights from retail data, and build organized data marts for self-serve analytics. The role partners with Product, Engineering, and Data Scientists to deploy AI-assisted analytics at scale.

You will design robust analytics pipelines, implement dimensional models with dbt, and ensure reliable, production-ready data products for clients and internal stakeholders.

Qualifications

• 5+ years of experience in analytics engineering or a closely related role.
• Experience with dbt and Kimball Dimensional modeling in production.
• Strong SQL and experience with large-scale cloud data platforms (GCP/BigQuery).
• End-to-end ownership of analytics features lifecycle.
• Cross-functional collaboration with Engineering, Product, or Commercial teams.
• Retail industry experience preferred.
• Hands-on use of AI tools to accelerate analytics work.

Responsibilities

• Own production pipelines end-to-end — design, build, and maintain robust analytics pipelines.
• Shape data into analytical models via Kimball dimensional modeling with dbt.
• Drive cross-functional delivery with minimal blockers.
• Apply AI tooling to accelerate analysis and development.
• Translate store signals into meaningful business outcomes for internal teams and clients.
• Raise standards for reproducibility, documentation, and code quality.
• Build conversational data experiences to query data via natural language (nice to have).

Skills

Analytics engineering

dbt

SQL

BigQuery

GCP

Dimensional modeling

Cross-functional collaboration

AI tooling

Tools

Airflow

Looker

Tableau

Job description

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The base salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits.

Simbe's approach emphasizes total rewards - base pay, equity, incentives, and benefits - rather than viewing compensation as cash alone. We believe the full package, including ownership through equity and well-being support, is what drives engagement, retention, and alignment with our mission.