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

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.

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)

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

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

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.