Senior Pricing Analyst

at  WellTech

Welcome to Welltech—where health meets innovation! As a global leader in Health & Fitness industry, we’ve crossed over 200 million installs with five life-changing apps, all designed to boost well-being for millions. Our mission? To transform lives through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys—all powered by a diverse team of over 800 passionate professionals with a presence across 5 hubs.
Why Welltech? Imagine joining a team where your impact on global health and wellness is felt daily. At Welltech, we strive to be proactive wellness partners for our users, while continually evolving ourselves.
We are seeking a data-driven and strategic Senior Pricing Analyst to support and optimize monetization strategies for our suite of mobile apps in the B2C segment, including yoga, workouts, and nutrition/diet apps. The role involves building business cases using internal data, external market trends, and competitive insights to drive pricing decisions. You will analyze the impact of pricing experiments, such as introducing free trials, subscription tiers, or discounts, and provide actionable recommendations to improve key business metrics like customer acquisition, retention, and lifetime value (LTV).

PROFESSIONAL REQUIREMENTS

• At least 4 years of professional experience as a Data Analyst, expertise in pricing strategy will be preferred
• Experience in the mobile app industry with a focus on subscription-based B2C applications.
• Proficient in SQL, with the ability to manipulate and extract data from various databases or data warehouses
• Experience with Tableau (the primary tool), Power BI, QlikView, or similar tools
• Experience with Python or R to perform advanced statistical analysis and build predictive models
• Strong knowledge of A/B testing methodologies, including test design, execution, and analysis, with the ability to interpret results and provide actionable recommendations
• Deep understanding of key app performance metrics, including CAC (Customer Acquisition Cost), ARPU, and LTV
• Strong problem-solving skills, with the ability to identify and resolve complex data analysis challenges and present insights to non-technical stakeholders
• Attention to detail: ensure data accuracy, completeness, and consistency across reporting and analytics solutions
• Proficiency in English at a minimum Upper-Intermediate level