We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores
Requirements: 4+ years of experience as an Analytics Engineer, Data Engineer, or Full-Stack Data Developer
Expertise in SQL and Python; experience with modern data stacks (dbt, Airflow, etc.)
Experience designing data models and pipelines for analytics and reporting
A pragmatic mindsetyou solve problems, not just build pipelines
Comfort working directly with non-technical stakeholders to understand their needs
Curiosity about the physical worldexcited to work with retail, hardware, and real-time system data
This position is open to all candidates.