Level

Delivery Hero (talabat)

Data Analyst I Courier RTO Global HQ

AI in this role

Build operations analytics, automation pipelines, and evaluation loops for AI voice and chat agents.

n8nelevenlabssqlllm
prompt-engineeringai-agentsdata-analysisautomationexperimentation

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

Real-Time Operations keeps Glovo’s deliveries moving: when an order stalls, a courier stops, or a store goes quiet, RTO is what notices and acts.

Your mission is to find what is actually causing those failures and then build the thing that fixes them — the analysis and the automation, not one handed to someone else to build.

You will work at the intersection of operations analytics, AI agent quality and automation engineering, on problems that are genuinely unsolved.
 

THE JOURNEY 

 

  • Own operational analyses end to end — take an ambiguous problem, find the real driver rather than the most visible symptom, and turn it into a decision about where to focus.

  • Build and run the automations that come out of that analysis: real-time detection, the action it triggers, the monitoring that proves it still works, and the documentation someone else can operate it from.

  • Work on the systems around our AI voice and chat agents across fourteen markets — automated conversation audits, the loop that turns an unanswered question into a knowledge base update, and the evaluation that says whether a prompt change helped or hurt.

  • Design and read the experiments behind what we ship: choose the unit of randomisation, pick the metric that reflects the real outcome, and report the result honestly, including when it says the thing does not work.

  • Build processes that send an input to an LLM and need a specific, reliable output back — together with the checks that confirm the output is what we expected.

  • Hand findings to the right owner when they sit outside RTO, with enough evidence that they can act on them.

WHAT YOU WILL BRING TO THE RIDE

Must have

  • Advanced SQL — window functions, CTEs, joining across large event and transactional tables, and the habit of checking what a column really contains before building on it.

  • A structured, sceptical approach to problem-solving. You look for the reason your own conclusion might be wrong before someone else does.

  • Hands-on experience building something end to end that ran in production and that other people depended on.

  • Good written and verbal English. Most of your stakeholders are operations people, not analysts.

Nice to have

  • Python (pandas or equivalent), experiment analysis, BigQuery, n8n or similar orchestration, Google Apps Script, Looker, voice or chat AI agent platforms such as ElevenLabs, and a background in last-mile delivery, marketplaces or logistics.

  • Practical experience using LLMs inside a process that had to produce a reliable output — prompt design, structured outputs, and a way of checking the result.

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!

How we rate this

Data Analyst I Courier RTO Global HQ at Delivery Hero (talabat) rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringAI AgentsData AnalysisAutomationExperimentationN8nElevenlabsSQL

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where experimentation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, AI Agents, Data Analysis, Automation, and Experimentation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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