Business Data Analyst - Logistics Operations at DeliveryHero

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 You will be at the heart of Glovo's Global Logistics and Operations team, owning the data work behind how we design, test, and optimize the order compensation structures that reward our riders across 23 countries. This is one of the highest impact areas in the company, rider payments are our largest operational cost, and every model you build or experiment you run translates directly into business outcomes at scale. The environment is fast moving. Priorities shift, ad hoc requests come in regularly, and you will often need to deliver sharp analysis. If you thrive in that kind of setting and want your work to have real, measurable impact, this is the role for you. THE JOURNEY • Model and redesign rider payment structures to improve engagement and operational efficiency. Factoring in distance, vehicle type, weight, time of day, and other key drivers. • You will be using SQL to query large datasets to surface trends, answer business questions quickly, and build the analytical foundation for strategic decisions. • Leverage AI in your workflow. You will actively incorporate AI tools (agents, copilots, and LLM-assisted analysis) into your day to day work to move faster and work smarter. • Monitor and iterate. Track KPIs, spot anomalies, and make data driven adjustments on an ongoing basis. • Translate findings into action. You will regularly present insights to non technical stakeholders and need to be concise and convincing. • Improve how we work. Identify inefficiencies in current analytical processes and workflows, and drive improvements in how we track, update, and execute changes to payment parameters at scale. • Design and run experiments to validate setting changes before global rollout. You will be exposed to the full cycle: design, execution, and analysis. • Understand the courier perspective to ensure models are fair, locally relevant, and operationally sound.