We are looking for a highly analytical and proactive Data Analyst to support the DiDi Food team in LATAM.

The Account Ops and Onboarding area sits at the heart of our Customer Success organization. We manage the end-to-end operational lifecycle of our restaurant partners—from ensuring a seamless store setup and managing the logistics of operational devices, to driving feature adoption and providing technical support to drive restaurants long term success.

As a Senior Analyst, you’ll be the analytical owner for high-impact Customer Success initiatives, partnering with Commercial, Operations, Product, and Strategy to design metrics, processes, and surface insights that change how we operate at scale. You’ll lead analyses end-to-end—from data modeling and experimentation to stakeholder storytelling—while turning complex, multi-source data into decisions that improve our KPIs and drive continuous improvement.

This role is idóneo for someone who is exceptionally data and detail-oriented, passionate about continuous improvement, and driven to use technology and data to eliminate operational bottlenecks.

Responsibilities

- Driving automation and AI initiatives: Identifying operational inefficiencies and manual processes, and deploying scalable solutions using Python, SQL, and AI tools to automate repetitive reporting and operational tasks.
- Generating actionable insights:



Carrying out advanced analyses to identify trends and root causes, turning these findings into direct action plans that improve operational execution and restaurants performance.
- Forecasting and capacity planning: Modeling agents productivity to optimize resource allocation and eliminate idle capacity.
- Establishing data quality & governance: Building reliable data models, coordinating data from multiple internal and external sources, and diagnosing performance drivers to keep databases and trackers updated.
- Communicating with clarity: Designing automated daily KPI monitors, WBR packs, and team scorecards, while crafting concise, exec-ready narratives that connect data insights to strategic decisions and actionables.

Qualifications

- Education: Degree in Systems Engineering, Statistics, Data Science, Economics, or a related quantitative field.
- Technical Skills: Strong SQL and Python skills; experience or interest in AI and automation; advanced Excel/Google Sheets and PowerPoint/Google Slides.
- Analytical Skills: Strong analytical and statistical abilities, with a focus on turning data into actionable insights and business improvements.
- Soft Skills: Attention to detail, proactive mindset, ownership, process optimization, communication, and teamwork.
- Languages: Professional proficiency in Spanish and English.

📌 Data Analyst (Bogotá)
🏢 Didi
📍 Bogotá