Our client, a growing fitness/wellness tech company, is looking for a data loving Product Analyst with experience working with DTC brands to join their growing team!
You’ll turn numbers into clear, bite-sized insights that shape what we build next—and you’ll use modern large-language-model (LLM) tools to dig even deeper. Your work will guide the AI Coach, Community, Experience, and Platform pods.
This is a hybrid position based in NYC.
Responsibilities:
Track the right numbers - Decide which metrics really matter (activation, retention, session quality, etc.) and make sure we’re collecting clean, reliable data.
Dig into the data - Look at how people train, recover, and interact in the app. Use SQL and Python to spot patterns—and LLM-powered text tools to understand feedback, comments, or voice notes at scale.
Run and explain experiments -
Build smart models - Create churn, LTV, or recommendation models—and prototype LLM workflows (e.g., retrieval-augmented answers from our knowledge base) that make the AI Coach smarter.
Share what matters - Build clear dashboards in Looker/Tableau/Metabase and craft short, visual write-ups so PMs, designers, and execs know exactly what to do next.
Champion data culture - Teach teammates how to read dashboards, run simple tests, and think about user impact before shipping.
Requirements:
Preferred:
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