ОписаниеGlovo is a local delivery platform operating in around 65 countries worldwide as part of the Delivery Hero Group. It provides fast, convenient delivery services to customers.Задачи- Explore and identify optimal logistics payment structures to maximize general rider engagement- Redesign the courier payment framework to improve key operational metrics by modeling factors such as vehicle type, distance, weight, and peak-hour availability- Analyze massive datasets to identify trends, drivers, and optimization opportunities- Own the experimentation process by designing, running, and analyzing A/B and switchback tests- Monitor strategy performance, track KPIs, assess change effectiveness, and make data-driven adjustments- Address local and regional needs by understanding riders' perspectivesТребования- Degree in Engineering, Maths,



or another STEM field- 2+ Years of experience in a data analytics role translating insights into business actions and measuring their impact- Advanced SQL for complex querying and data extraction- Proficiency in Python for data analysis and data orchestration- Experience with data visualization tools such as Looker, Tableau, or PowerBI- Strong problem-solving and analytical skills- Ability to break down ambiguous, complex problems into manageable steps and drive toward clear solutions- Ability to explain complex analytical findings clearly and concisely to technical and non-technical stakeholders- Fluent English- Organized, takes ownership of work, and thrives in a fast-paced, high-growth environment- Nice to have: experience designing and/or analyzing A/B tests or other statistical testing methodologies to measure impactУсловия- Private health insurance- Monthly Glovo credit- Discounts on transportation, food, and kindergarten expenses- Discounted gym memberships- Extra time off- Work from anywhere for up to three weeks a year- Enhanced parental leave- Office-based nursery- Online therapy and wellbeing benefits#J-18808-Ljbffr

📌 Data Analyst In Logistics Payments (Barcelona)
🏢 Enfint
📍 Barcelona