Senior Analytics Engineer

Summary

Join a venture-funded Boulder-based startup reinventing the lawn and garden industry through e-commerce and AI. As a Senior Analytics Engineer, you will own the full analytics workflow, from data ingestion and modeling to dashboarding and delivering business-moving insights. You will collaborate with various teams, focusing on the fast-growing retail channel. Reporting to the Principal, Data & Analytics, you will be a key player in shaping data models and guiding business decisions. This role requires a strong background in analytics engineering, data modeling, and presentation skills. The ideal candidate will have experience with Snowflake, dbt, SQL, Python, and a modern BI toolset.

Requirements

• 6-8 years in analytics engineering / data modeling / BI, including 2+ years owning production dbt pipelines
• Deep expertise in Snowflake, dbt, SQL, Python, Git and a modern BI toolset (Omni or similar)
• Demonstrated success presenting complex analyses to execs and non-technical audiences—comfortable running the meeting, fielding questions, and influencing outcomes
• Strong business intuition, ideally in D2C or CPG: you connect data to revenue, margin and operational levers
• Bachelor’s in a quantitative field (Data/Computer Science, Engineering, Statistics, Economics) or equivalent practical experience
• SQL craftsmanship & data modeling – dbt concepts and best practices, fluency with Kimball/star schemas, and incremental patterns
• Executive presence & storytelling – turns analysis into compelling narratives and confidently presents to VP/C-suite audiences
• Collaboration & influence – builds trust across functions and drives alignment on data-informed decisions
• Ownership & bias for action – thrives in a fast-growing startup, prioritizes ruthlessly, delivers with limited guidance
• Quality mindset – implements CI/CD, code review, and observability to keep pipelines reliable
• Desire to lead, shape, and have ownership of a hyper-growth company
• Self-directed, team-oriented, and customer-centric
• Ability to prioritize and drive many projects simultaneously with sense of urgency
• Roll up the sleeves, can-do spirit! You look forward to being part of a small, scrappy team and are willing to pitch in with whatever needs to get done

Responsibilities

• Model & transform data: Build, document and test dbt models in Snowflake that power trusted DTC and Retail reporting
• Semantic layer & governance: Define dimensions/measures in Omni, maintain data-quality tests and lineage, and champion data consistency
• Dashboarding & self-service: Deliver intuitive Omni dashboards that surface actionable trends and empower teams to explore data independently
• Advanced analytics: Conduct cohort, pricing, promotion and inventory analyses; design A/B test readouts; build Python notebooks that forecast and simulate outcomes
• Present & influence: Own the narrative. Craft executive-ready decks, lead weekly/quarterly business reviews, and present live to VPs, C-suite and internal retail partners
• Cross functional partnership: Embed with Product, Retail and Ops squads to translate fuzzy questions into data plans, surface opportunities, and drive roadmap decisions
• Best-practice evangelism: Instill software-engineering rigor (CI/CD, Git, code review, dbt tests) and help shape Sunday’s modern data-stack strategy

Preferred Qualifications

Familiarity with retail point-of-sale feeds, media-mix/attribution modeling, or supply-chain optimization