Data Analyst II - Compensations Policy Optimization

If you’re here, it’s because you’re looking for an exciting ride.  A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.  We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.  Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.  Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose. What makes our ride unique?  🤝 Our culture and strong values.  💪 Our career development philosophy.  🤝 Our commitment to being a force for good.  We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts. YOUR MISSION We are looking for a dynamic and analytical professional to lead the Compensation Policy Optimization strategy within our Customer Compensations team in our Barcelona HQ. In this role, you will act as a strategic partner, collaborating closely with Delivery Hero (DH) and Growth teams to maximize customer retention while ensuring high ROI on every compensation investment. You will move beyond reporting to drive the experimental roadmap that defines how we compensate millions of customers globally. THE JOURNEY - Define and execute a global AB testing roadmap for customer compensation policies to identify the most effective retention levers. - Scale and automate AB testing analytics to provide recurrent visibility on policy ROI, guiding critical budget allocation decisions. - Optimize customer segmentations in alignment with Growth teams to increase the precision and ROI of compensation investments. - Collaborate with Delivery Hero (DH) teams to align on ROI methodologies, testing frameworks, and centralized data logic. - Apply advanced statistical techniques to predict the impact of policy changes on long-term customer lifetime value (CLV). - Suggest data-driven actions to senior stakeholders, influencing the global strategy for discretionary spend and operational efficiency. - Report to the Head of Customer Compensations, serving as the technical authority on policy performance and experimentation.