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Lead of Growth Analytics

Welltech

Role overview

Qualifications

  • Proven, successful managerial experience leading growth or product analytics teams in digital or mobile app environments
  • Deep hands-on experience with app funnel analysis, paywalls, onboarding optimization, and pricing mechanics for B2C subscription or freemium products
  • Strong mastery of A/B testing methodologies, statistical hypothesis testing, variance reduction (CUPED), and experimental design
  • Strong hands-on SQL skills to query, model, and verify data independently; familiarity with Python or R is a plus

Responsibilities

  • Build, mentor, and direct a high-performing growth analytics team
  • Own the analytics for onboarding flows and paywalls
  • Design, execute, and analyze pricing experiments to optimize conversion rates and average revenue per user (ARPU)
  • Establish standardized experimentation methodologies across the company

Key facts

  • Remote from: Cyprus, Ukraine
  • Full time
  • Senior (5-10 years)
  • Ukrainian

Hard skills

Other skills

  • Leadership
  • Communication

About the company

Welltech logo

Welltech

Digital Health & Health Tech

Welltech is about creating mobile applications that improve the Health of Millions of People around the World. We currently have 500+ people in our team. The main distinguishing feature of our People is their desire to constantly grow, develop and learn new things. Why do people like to work at Welltech? • We work on creating and developing our own projects. There is no outsourcing. • The company values the initiative of its workers and their ability to work independently. • The ideas and suggestions of everyone are heard, and good ideas are quickly implemented and tested out. • Clearly stated goals and priorities help workers focus on important tasks and organize their work properly. • Weekly meetings with managers give employees the opportunity to get feedback about their work and understand how to achieve the best results. About our technologies: iOS: Swift, MVC, MVVM, Dependency Injection, UIKit, Autolayout, REST API, Alamofire, In-App Purchases, Local and Remote notifications, Grand Central Dispatch, NSOperations, Core Data, Realm, AVFoundation. Android: Kotlin, MVVM, Android Architecture Components, Dependency Injection, REST API, Push Notifications, Crashlytics, Offline mode. We use PHP7, Python, Symfony4, MariaDB, MySQL, PostgreSQL, Redis, Elasticsearch, Amazon AWS (Lambda, S3, DynamoDB, RDS, SQS, etc), Docker, Kubernetes. The company has successfully implemented CI on all projects. Welltech is a data-driven company. The analytics department uses different tools. Data storage: Amazon redshift + Spectrum Data processing — R, Python BI — Data studio, Tableau Data sources — platform APIs, incoming data streams

Company details

Company typeScaleup
IndustryDigital Health & Health Tech
Company size201 - 500

Links

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Job description

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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