Senior Product Experimentation Analyst
Welltech
Company Overview
We are a global leader in the Health & Fitness industry with over 220 million installs and a dedicated team of 700+ professionals across five hubs. Our mission is to improve the health of millions through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys.
Responsibilities
- Drive data‑informed decision making across Product, Growth, and Marketing.
- Work on experiments for product features, user journeys, marketing campaigns, creatives, and acquisition funnels.
- Ensure experiments are well‑designed, statistically sound, and actionable.
- Own and maintain core experimentation datasets (assignment, fact, attribute tables).
- Integrate experimentation data with attribution, marketing, and product systems (dbt, BI, Appsflyer / Adjust).
- Contribute to the Experimentation Platform roadmap.
- Design and analyze experiments using A / B tests, geo‑experiments, platform lift studies, quasi‑experiments, and causal inference.
- Conduct meta‑analyses to uncover broader learnings.
- Develop surrogate / predictive metrics for rapid decision making.
- Research and implement methods when randomization is not feasible.
- Partner with Data Science on advanced modeling (incrementality, MMM, attribution).
- Collaborate with Product and Engineering on feature tests and with Marketing on campaign tests.
- Advise teams on experimental design and exploratory analysis.
- Build and deliver trainings, workshops, and playbooks to increase experimentation maturity.
- Identify friction points and design solutions to improve testing velocity and quality.
Must‑Have Competencies
Deep understanding of experimentation fundamentals and statistics.Hands‑on experience running experiments in Product and / or Marketing.Mastery of SQL and Python.Strong cross‑functional communication skills with Product, Engineering, Marketing, and Growth.Proactive, impact‑oriented mindset, balancing rigor with speed.Nice‑to‑Have Competencies
Experience with causal inference / quasi‑experimental methods.Familiarity with ad platforms (Meta, Google, TikTok) and incrementality measurement.Experience with experimentation platforms (e.g., EPPO, Statsig).Dashboarding skills (Tableau, Looker, Power BI).Analytics engineering skills (dbt, Airflow, data modeling).Leadership potential to mentor peers and grow into a domain lead.Candidate Journey
Recruiter CallMeet a Team MemberSkills AssessmentMeet the Leadership TeamBenefits / Why You’ll Love Working Here
Grow Together : A culture that champions personal and professional growth.Lead by Example : Each team member is empowered to inspire and make an impact.Results‑Driven : Focus on meaningful outcomes that make a difference every day.We Are Well‑Makers : Join a movement creating a healthier, happier world.Products
Muscle Booster –Yoga‑Go –WalkFit –#J-18808-Ljbffr