Analytics Engineer

Thesis•New York, NY

5d•$120,000 - $150,000•Hybrid

About The Position

We're looking for an Analytics Engineer to own our data infrastructure and build the AI systems that change how this company operates. This is a hybrid role by design. Half of it is making sure the data this business runs on is reliable, accessible, and fast: the pipelines feeding our warehouse, the reporting layer every team depends on, and the endless stream of questions from Ops, Marketing, and Growth. The other half is building the agents and automations that let a small team operate like a much larger one. That second half is not a side project or a someday. It's why this role exists in the shape it does, and it's where the person in this seat will grow. You'll work directly with our Director of Data Analytics, who owns the company's data and AI mandate. This is a small team with an enormous surface area, so you'll touch everything from a broken ETL job to an agent architecture nobody has built before.

Requirements

Strong SQL. You've written real queries against real warehouses. Not notebook exercises
Hands-on experience with data pipelines and ETL, including the unglamorous work of keeping them running
Experience with a BI tool such as Metabase, Looker, Tableau, or equivalent
Hands-on experience building with LLMs: prompting, retrieval, context management, tool use, and agentic patterns
Solid fundamentals in databases and APIs
Ability to move from an ambiguous business question to a working prototype to a reliable production system
Strong product instincts and the ability to tell where AI creates real value versus where it's theater
Comfort with ambiguity and a genuine preference for ownership over tickets

Nice To Haves

Python and modern backend development experience
Front-end or web development experience. Being able to support our website when needed is a bonus, not a requirement
Experience with subscription, DTC, or e-commerce data models
Experience with Snowflake specifically
Experience with vector databases (pgvector, Pinecone, Qdrant, or similar) and RAG architectures
Experience building evaluation or monitoring systems for LLM applications
Experience with AWS, GCP, or Azure
Experience at an early-stage or high-growth company
Contributions to AI research, open-source projects, or technical publications

Responsibilities

Own the data foundation
Maintain and optimize the ETL pipelines feeding our Snowflake warehouse and Metabase reporting layer
Keep reporting trustworthy. Diagnose anomalies, fix breakages, and improve the things that keep breaking
Build and extend models, views, and dashboards that teams can actually self-serve on
Be the internal data resource
Absorb ad hoc requests from Ops, Marketing, and Growth and turn ambiguous business questions into SQL, models, and answers
Work directly with stakeholders to understand what they're really asking, which is rarely what they first ask for
Push the organization toward self-service instead of becoming a query queue
Build AI into how the company works
Design and ship AI agents and agentic workflows that reason, use tools, retrieve information, and execute multi-step tasks
Build the skills, orchestration layers, and human-in-the-loop systems that let non-technical teams operate at 10x
Integrate LLMs from Anthropic, OpenAI, and elsewhere into internal tooling and customer-facing products
Build retrieval and semantic search over our ingredient library, research, and customer data
Prototype fast, test with real users, and turn what works into something reliable
Stay close to emerging AI research, models, and tooling, and determine what's actually useful versus hype

Benefits

Competitive compensation with an exceptionally generous equity package
Competitive health, dental, and vision plans (including a 100% covered premium plan for all 3!)
HSA, FSA and pre-tax commuter benefits for parking and transit
Ancillary benefits through Talkspace, One Medical, Kindbody, Teladoc, Classpass and more!
401k to help you plan for the future
Flexible PTO because we respect the need for work/life harmony
Unlimited (yes, unlimited) Thesis nootropics
A strong emphasis on promoting from within and personal development
A dog-friendly office located in the heart of Flatiron steps from Union Square and Madison Square Park
Hybrid work model