Delivery Hero
E-Commerce
DataAnalystIntern
Neural analysis suggests this role is
optimal for entry candidates.
“Data Analyst Intern at Delivery Hero. Skills: Data analysis, SQL querying, AI tools. Model and review order payment structures. Query large datasets using SQL”
What You'll Achieve.
Improve engagement; Improve operational efficiency
Industry & Context.
Problem-solving instincts
What They're Looking For.
Must Have
Degree in Engineering, Mathematics, Statistics, Economics, or quantitative field, SQL is essential, Python familiarity, Excel / spreadsheet familiarity, Fluent English
Nice to Have
Hands-on experience leveraging AI in workflow, Exposure to data visualization tools, Exposure to experimentation
What You'll Do.
Model and review order payment structures
Query large datasets using SQL
Answer business questions
Build analytical foundation
Present insights to non-technical stakeholders
Support design and running of experiments
Incorporate AI tools into workflow
Make data driven adjustments
Understand rider perspective
How You'll Work.
Team & Collaboration
Experienced analysts
Communication Scope
Present insights concisely; Present insights convincingly
Full Job Description
Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 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 and ad hoc requests come in regularly. This internship is built for someone curious, hands-on, and eager to learn how real operational decisions get made with data. You will be paired with experienced analysts who will mentor you along the way. THE JOURNEY * Support the team in modelling and reviewing order payment structures that improve engagement and operational efficiency. * You will be using SQL to query large datasets to surface trends, answer business questions quickly, and build the analytical foundation for strategic decisions. * Translate findings into action. You will help present insights to non-technical stakeholders in a way that is concise and convincing. * Support the design and running of experiments that validate setting changes before global rollout. You will be exposed to the full cycle: design, execution, and analysis. * 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. * Understand the ride
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