Data Analyst In Logistics Payments
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Role details
Tech stack
Job description
????????Glovo 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.??????Explore and identify optimal logistics payment structures to maximize global rider engagementRedesign the courier payment framework to improve key operational metrics by modeling factors such as vehicle type, distance, weight, and peak-hour availabilityAnalyze massive datasets to identify trends, drivers, and optimization opportunitiesOwn the experimentation process by designing, running, and analyzing A/B and switchback testsMonitor strategy performance, track KPIs, assess change effectiveness, and make data-driven adjustmentsAddress local and regional needs by understanding riders’ perspectives??????????Degree in Engineering, Maths, or another STEM field2+ Years of experience in a data analytics role translating insights into business actions and measuring their impactAdvanced SQL for complex querying and data extractionProficiency in Python for data analysis and data orchestrationExperience with data visualization tools such as Looker, Tableau, or PowerBIStrong problem-solving and analytical skillsAbility to break down ambiguous, complex problems into manageable steps and drive toward clear solutionsAbility to explain complex analytical findings clearly and concisely to technical and non-technical stakeholdersFluent EnglishOrganized, takes ownership of work, and thrives in a fast-paced, xqbhyrx high-growth environmentNice to have: experience designing and/or analyzing A/B tests or other statistical testing methodologies to measure impact???????Private health insuranceMonthly Glovo creditDiscounts on transportation, food, and kindergarten expensesDiscounted gym membershipsExtra time offWork from anywhere for up to three weeks a yearEnhanced parental leaveOffice-based nurseryOnline therapy and wellbeing benefits#J-*****-Ljbffr
Requirements
??????Explore and identify optimal logistics payment structures to maximize global rider engagementRedesign the courier payment framework to improve key operational metrics by modeling factors such as vehicle type, distance, weight, and peak-hour availabilityAnalyze massive datasets to identify trends, drivers, and optimization opportunitiesOwn the experimentation process by designing, running, and analyzing A/B and switchback testsMonitor strategy performance, track KPIs, assess change effectiveness, and make data-driven adjustmentsAddress local and regional needs by understanding riders’ perspectives??????????Degree in Engineering, Maths, or another STEM field2+ Years of experience in a data analytics role translating insights into business actions and measuring their impactAdvanced SQL for complex querying and data extractionProficiency in Python for data analysis and data orchestrationExperience with data visualization tools such as Looker, Tableau, or PowerBIStrong problem-solving and analytical skillsAbility to break down ambiguous, complex problems into manageable steps and drive toward clear solutionsAbility to explain complex analytical findings clearly and concisely to technical and non-technical stakeholdersFluent EnglishOrganized, takes ownership of work, and thrives in a fast-paced, xqbhyrx high-growth environmentNice to have: experience designing and/or analyzing A/B tests or other statistical testing methodologies to measure impact???????Private health insuranceMonthly Glovo creditDiscounts on transportation, food, and kindergarten expensesDiscounted gym membershipsExtra time offWork from anywhere for up to three weeks a yearEnhanced parental leaveOffice-based nurseryOnline therapy and wellbeing benefits#J-*****-Ljbffr
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