Senior Pricing Analyst
To see similar active jobs please follow this link: Remote Finance jobs
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).
Key Responsibilities
Data Analysis & Insights
Leverage internal and external data to develop models and forecasts that evaluate pricing and monetization strategies
Use statistical and predictive modeling techniques to assess the impacts of pricing decisions on metrics such as ARPU, churn, and LTV
Conduct pre- and post-implementation analyses of pricing and monetization changes to measure their effects on revenue, user acquisition, and retention
Maintain detailed reporting systems to monitor the performance of monetization activities, providing actionable insights for future improvements
Business Case Development
Build comprehensive business cases for pricing and monetization experiments, integrating data analysis and market research
Create and implement pricing tactics for app subscriptions, complementary subscriptions, and add-ons, ensuring alignment with business goals and market trends
Evaluate and optimize pricing strategies across models, including one-time purchases, tiered subscriptions, freemium offerings, and in-app purchases
Develop pricing strategies for lifecycle offers, tailored to various stages of the user journey (introductory offers, mid-life discounts, or end-of-life deals), as well as for seasonal sales to boost revenue during peak periods
Identify opportunities to optimize pricing for different geographic regions and user segments to maximize profitability
Collaboration & Communication
Collaborate with Product, Marketing, and Finance teams to validate assumptions and align on business goals
Present findings and recommendations to stakeholders in clear and actionable formats (e.g., reports, dashboards, presentations)
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
Check out some of our products
Muscle Booster — musclebooster.fitness
Yoga-Go — yoga-go.fit
Omo — bit.ly/OMOio
FastEasy — fasteasy.life
WalkFit — walkfit.pro
In our team, you’ll find an opportunity to develop and implement your ideas, as well as to make the world a better place!
About the job
Senior Pricing Analyst
To see similar active jobs please follow this link: Remote Finance jobs
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).
Key Responsibilities
Data Analysis & Insights
Leverage internal and external data to develop models and forecasts that evaluate pricing and monetization strategies
Use statistical and predictive modeling techniques to assess the impacts of pricing decisions on metrics such as ARPU, churn, and LTV
Conduct pre- and post-implementation analyses of pricing and monetization changes to measure their effects on revenue, user acquisition, and retention
Maintain detailed reporting systems to monitor the performance of monetization activities, providing actionable insights for future improvements
Business Case Development
Build comprehensive business cases for pricing and monetization experiments, integrating data analysis and market research
Create and implement pricing tactics for app subscriptions, complementary subscriptions, and add-ons, ensuring alignment with business goals and market trends
Evaluate and optimize pricing strategies across models, including one-time purchases, tiered subscriptions, freemium offerings, and in-app purchases
Develop pricing strategies for lifecycle offers, tailored to various stages of the user journey (introductory offers, mid-life discounts, or end-of-life deals), as well as for seasonal sales to boost revenue during peak periods
Identify opportunities to optimize pricing for different geographic regions and user segments to maximize profitability
Collaboration & Communication
Collaborate with Product, Marketing, and Finance teams to validate assumptions and align on business goals
Present findings and recommendations to stakeholders in clear and actionable formats (e.g., reports, dashboards, presentations)
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
Check out some of our products
Muscle Booster — musclebooster.fitness
Yoga-Go — yoga-go.fit
Omo — bit.ly/OMOio
FastEasy — fasteasy.life
WalkFit — walkfit.pro
In our team, you’ll find an opportunity to develop and implement your ideas, as well as to make the world a better place!