КипрLead of Growth Analytics
3 нед. назад
КипрLeadRemote
a/b testingpricingstatistical analysisaidata analysis
Lead a team of analysts to optimize growth through experimentation, pricing mechanics, and app funnel optimization for wellness apps.
Будет плюсом
- 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 — Yoga-Go — WalkFit -
Другое
- 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.
- 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.