Lead of Growth Analytics at Welltech

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Lead of Growth Analytics at Welltech. Location Information: . 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