Method Recruiting
https://cdn.haleymarketing.com/templates/63209/logos/logo-squ.png
http://www.methodrecruiting.com
http://www.methodrecruiting.com
USD
100000
YEAR
true
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.
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
• Set up A/B or multivariate tests: Split users into fair groups, roll out the new idea, and measure the difference.
• Keep it honest: Make sure the test is big enough and random enough to trust the results.
• Tell the story: Instead of saying “p-value < 0.05,” you’ll say “There’s a 95 % chance this change really boosts workout completion by 3 %.”
• Find the sweet spots: Use simple uplift / causal tools to see who benefits most, so we roll out winners to the right people first.
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:
Product Analyst - Brand
Posted: 06/17/2025
2025-06-17
2025-08-07
Job Number: 1688
Pay Rate: 100,000
Job Description
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.
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
• Set up A/B or multivariate tests: Split users into fair groups, roll out the new idea, and measure the difference.
• Keep it honest: Make sure the test is big enough and random enough to trust the results.
• Tell the story: Instead of saying “p-value < 0.05,” you’ll say “There’s a 95 % chance this change really boosts workout completion by 3 %.”
• Find the sweet spots: Use simple uplift / causal tools to see who benefits most, so we roll out winners to the right people first.
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:
-
4 + years in product or growth analytics (consumer tech; fitness or health-tech is a plus).
Fluent in SQL and comfortable with Python (pandas, NumPy).
-
Solid grasp of A/B testing basics and the ability to explain results in everyday language.
-
Hands-on experience with LLM tooling—prompt design, embeddings, LangChain/LlamaIndex/TIA-S, or similar.
-
Confident with BI tools (Looker, Tableau, Metabase).
-
Great communicator who can turn complex data into clear recommendations.
-
Genuine passion for wellness and helping people build healthy habits.
Preferred:
-
Experience working with wearable or sensor data (Apple Health, Oura, WHOOP).
-
Familiarity with data pipelines (dbt, Airflow) and cloud warehouses (BigQuery, Redshift).
-
Background in behavioral science or UX research.
Meet Your Recruiter
Share This Job:
Related Jobs:
Login to save this search and get notified of similar positions.About New York, NY
Discover exciting job opportunities in the vibrant area around New York, New York! With its iconic skyline, diverse cultural scene, and endless career growth prospects, the Big Apple and its surroundings promise an unparalleled work-life experience. Nestled between Broadway theaters, world-class art galleries like The Metropolitan Museum of Art, and globally renowned cuisine spots in Little Italy and Chinatown, finding your dream job in New York is your gateway to thriving in a city that never sleeps. Embrace the energy of Times Square, catch a game with the Yankees at Yankee Stadium, or unwind in the serenity of Central Park. Explore our job listings today and unlock your potential in the heart of opportunity.