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

• 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.