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Welltech

Lead of Growth Analytics

Posted an hour ago
5-10 years experience
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AI Summary

The Lead of Growth Analytics will direct a team to optimize app funnels, pricing mechanics, and experimentation frameworks. They will also implement AI-augmented workflows to enhance data-driven decision-making and maximize customer lifetime value.

Who Are We?
Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting

We are looking for a Lead of Growth Analytics to own the end-to-end experimentation engine, pricing mechanics, and app funnel optimization. In this role, you will lead a dedicated team of analysts, working at the intersection of product monetization, user acquisition, and decision science. You will establish rigorous experimentation frameworks (including A/B/N testing, pricing elasticity, and statistical validation), leverage modern experimentation platforms like EPPO, and integrate AI-augmented workflows to maximize overall growth and customer lifetime value.

Main Responsibilities

  • Team Leadership & Strategy: Build, mentor, and direct a high-performing growth analytics team. Cultivate an environment that supports data-driven decision-making with a bias for action and clear accountability.

  • App Funnel & Conversion Optimization: Own the analytics for onboarding flows and paywalls. Identify conversion bottlenecks and turn user behavior data into high-impact growth hypotheses.

  • Pricing & Monetization Experiments: Design, execute, and analyze pricing experiments (tariffs, localized pricing, paywall variants, and upsell offers) to optimize conversion rates and average revenue per user (ARPU).

  • Experimentation Framework & Tooling: Establish standardized experimentation methodologies across the company. Define sample sizes, guardrail metrics, and statistical boundaries (sequential testing, Bayesian vs. Frequentist approaches).

  • AI & Workflow Automation: Implement AI tools and LLM-assisted workflows within the analytics process to accelerate exploratory data analysis, reporting, and automated anomaly detection.

  • Executive Reporting & Insights: Synthesize complex experiment outcomes into actionable recommendations for C-suite, Product, and Marketing leaders.

Required Skills and Experience

  • Leadership: Proven, successful managerial experience leading growth or product analytics teams in digital or mobile app environments.

  • Funnel & Pricing Analytics: Deep hands-on experience with app funnel analysis, paywalls, onboarding optimization, and pricing mechanics for B2C subscription or freemium products.

  • Experimentation Expertise: Strong mastery of A/B testing methodologies, statistical hypothesis testing, variance reduction (CUPED), and experimental design.

  • Technical & SQL Proficiency: Strong hands-on SQL skills to query, model, and verify data independently; familiarity with Python or R is a plus.

  • Data Stack & Tools: Experience working with modern product analytics platforms (e.g., Amplitude, Looker, Tableau) and experimentation tools.

  • AI Literacy: Active user of AI/GenAI tools (e.g., ChatGPT, Claude, Cursor) to automate daily analytics tasks and streamline research workflows.

  • Communication: Exceptional ability to translate complex statistical outcomes into clear commercial insights for cross-functional stakeholders.

Nice to Have

  • Eppo Platform Experience: Direct experience with EPPO or similar modern feature-flagging and automated experimentation platforms.

  • Ad Tech & Signal Knowledge: Familiarity with conversion APIs (Meta CAPI, Google Enhanced Conversions), server-side tracking, and MMPs (AppsFlyer/Adjust).

  • Incrementality & Causal Inference: Knowledge of geo-lift tests, holdout groups, and causal inference methods (Synthetic Controls, CausalImpact).Subscription Business Models: Experience in high-growth mobile subscription apps (Health & Fitness, Utility, EdTech).

    Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Meet the hiring manager ➔ ⭕️ Meet the future stakeholders


    Check out some of our products

    Muscle Booster — https://musclebooster.fitness/

    Yoga-Go — https://yoga-go.io/

    WalkFit -http://walkfit.pro

 

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