[Hiring] Lead of Growth Analytics @Welltech

Role Description

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, leverage modern experimentation platforms, 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 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.
• AI & Workflow Automation:
  • Implement AI tools and LLM-assisted workflows within the analytics process.
• Executive Reporting & Insights:
  • Synthesize complex experiment outcomes into actionable recommendations for C-suite, Product, and Marketing leaders.

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, and experimental design.
• Strong hands-on SQL skills to query, model, and verify data independently; familiarity with Python or R is a plus.
• Experience working with modern product analytics platforms and experimentation tools.
• Active user of AI/GenAI tools to automate daily analytics tasks and streamline research workflows.
• Exceptional ability to translate complex statistical outcomes into clear commercial insights for cross-functional stakeholders.

Requirements

• Direct experience with EPPO or similar modern feature-flagging and automated experimentation platforms.
• Familiarity with conversion APIs, server-side tracking, and MMPs.
• Knowledge of geo-lift tests, holdout groups, and causal inference methods.
• Experience in high-growth mobile subscription apps (Health & Fitness, Utility, EdTech).

Candidate Journey

• Recruiter call
• Meet the hiring manager
• Meet the future stakeholders

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