Glovo is part of Delivery Hero Group, a global local delivery platform operating in around 65 countries. The company provides fast, convenient delivery services and is headquartered in Berlin. Задачи:
Explore and identify optimal logistics payment structures to maximize integral rider engagement; Redesign the courier payment framework to improve operational metrics by modeling factors such as vehicle type, distance, weight, and peak-hour availability; Analyze large datasets to identify trends, drivers, and optimization opportunities; Own the experimentation process by designing, running, and analyzing A/B and switchback tests before global rollouts; Monitor strategy performance, track KPIs, assess effectiveness, and make data-driven adjustments; Understand and address local and regional rider needs. Требования:
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; Strong technical proficiency; Advanced SQL for complex querying and data extraction; Proficiency in Python for data analysis and data orchestration; Experience with Looker, Tableau, or PowerBI; Excellent problem-solving and analytical skills; Ability to break down ambiguous and complex problems into manageable steps; Ability to explain complex analytical findings clearly and concisely to technical and non-technical stakeholders; Fluent English; Organized, ownership-oriented, and comfortable working in a fast-paced, high-growth environment; Nice to have: experience designing or analyzing A/B tests or other statistical testing methodologies. Условия:
Top-notch private health insurance; Monthly Glovo credit; Discounts on transportation, food, and kindergarten expenses; Discounted gym memberships; Extra time off; Enhanced parental leave and office-based nursery; Online therapy and wellbeing benefits; Freedom to work from home two days a week; Opportunity to work from anywhere for up to three weeks a year.
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📌 data analyst in logistics (Madrid)
🏢 Enfint
📍 Madrid
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