Welltech

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
<ul>
<li>Team Leadership &amp; 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.</li>
<li>App Funnel &amp; Conversion Optimization: Own the analytics for onboarding flows and paywalls. Identify conversion bottlenecks and turn user behavior data into high-impact growth hypotheses.</li>
<li>Pricing &amp; 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).</li>
<li>Experimentation Framework &amp; Tooling: Establish standardized experimentation methodologies across the company. Define sample sizes, guardrail metrics, and statistical boundaries (sequential testing, Bayesian vs. Frequentist approaches).</li>
<li>AI &amp; Workflow Automation: Implement AI tools and LLM-assisted workflows within the analytics process to accelerate exploratory data analysis, reporting, and automated anomaly detection.</li>
<li>Executive Reporting &amp; Insights: Synthesize complex experiment outcomes into actionable recommendations for C-suite, Product, and Marketing leaders.</li>
</ul>
Required Skills and Experience
<ul>
<li>Leadership: Proven, successful managerial experience leading growth or product analytics teams in digital or mobile app environments.</li>
<li>Funnel &amp; Pricing Analytics: Deep hands-on experience with app funnel analysis, paywalls, onboarding optimization, and pricing mechanics for B2C subscription or freemium products.</li>
<li>Experimentation Expertise: Strong mastery of A/B testing methodologies, statistical hypothesis testing, variance reduction (CUPED), and experimental design.</li>
<li>Technical &amp; SQL Proficiency: Strong hands-on SQL skills to query, model, and verify data independently; familiarity with Python or R is a plus.</li>
<li>Data Stack &amp; Tools: Experience working with modern product analytics platforms (e.g., Amplitude, Looker, Tableau) and experimentation tools.</li>
<li>AI Literacy: Active user of AI/GenAI tools (e.g., ChatGPT, Claude, Cursor) to automate daily analytics tasks and streamline research workflows.</li>
<li>Communication: Exceptional ability to translate complex statistical outcomes into clear commercial insights for cross-functional stakeholders.</li>
</ul>
Nice to Have
<ul>
<li>Eppo Platform Experience: Direct experience with EPPO or similar modern feature-flagging and automated experimentation platforms.
</li>
<li>Ad Tech &amp; Signal Knowledge: Familiarity with conversion APIs (Meta CAPI, Google Enhanced Conversions), server-side tracking, and MMPs (AppsFlyer/Adjust).
</li>
<li>Incrementality &amp; 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 &amp; Fitness, Utility, EdTech).
Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Meet the hiring manager ➔ ⭕️ Meet the future stakeholders
Check out some of our products
Muscle Booster — <a href="https://musclebooster.fitness/" rel="nofollow noopener" target="_blank">https://musclebooster.fitness/</a>
Yoga-Go — <a href="https://yoga-go.io/" rel="nofollow noopener" target="_blank">https://yoga-go.io/</a>
WalkFit -<a href="http://walkfit.pro" rel="nofollow noopener" target="_blank">http://walkfit.pro</a>
</li>
</ul>

Lead of Growth Analytics

Lead of Growth Analytics

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