Company Overview:
DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.
DiDi provides car owners, drivers, and delivery partners with versátil work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.
LI-Hybrid Team Overview:
The **Food Execution Team** at DiDi is looking for a high-performing Intern Analyst to help drive sustainable growth and operational health for our top restaurants across **Mexico, Colombia, Costa Rica, and Peru**. In this role, you won't just execute strategies—you will help reshape how we work.
We are looking for a tech-savvy, strategic thinker who can leverage **Python, automation, and AI integrations** to optimize our day-to-day operations, support our field agents, and deliver top-tier market experiences for our clients. If you want to bridge the gap between high-level strategy and cutting-edge technical execution, this is your path to success.
**Role Responsibilities**:
**Data Analytics & Strategic Reporting**:
- **Insight Generation**: Extract, manipulate, and analyze complex datasets to deliver actionable business insights and influence team decision-making.




- **KPI Management**: Monitor, report, and maintain daily business KPIs, designing dashboards that track the operational health of our top regional restaurants.
- **Strategic Collaboration**: Act as the analytical bridge to the Strategy Team, translating high-level goals into tactical, data-driven execution plans.
- **Experimentation**: Constantly generate operational knowledge and validate process improvements through structured **A/B testing**.
**Automation & AI Integration**:
- **Process Automation**: Use **Python** to automate repetitive manual workflows, streamline data pipelines, and improve the efficiency of our support agents.
- **AI Solutions**: Identify opportunities to integrate **AI tools and frameworks** into current processes to scale impact, improve response times, and optimize process standardization.
- **Process Engineering**: Carry out root-cause analysis on operational bottlenecks and propose automated solutions to mitigate them.
Role Responsibilities:
**What will you be doing?**:
**Strategic Planning & Operational Execution**:
- **End-to-End Operational Ownership**: Plan, analyze, and execute key operational activities, taking responsibility for the entire lifecycle of strategic initiatives.
- **Cross-Functional Collaboration**: Partner with internal teams and the **Sales Team** to align daily operational execution with high-level commercial goals.
- **Process Optimization**:



Carry out root-cause analysis on operational challenges, designing data-backed solutions to improve process efficiency and standardize team KPIs.
**Advanced Reporting & Data Analytics**:
- **Insight Generation**: Extract and interpret complex business data to deliver actionable insights, uncover growth opportunities, and directly influence team decision-making.
- **Strategic Proposals**: Formulate and pitch high-level, data-driven proposals aimed at scaling business impact and driving sustainable growth.
**Automation & Process Engineering**:
- **Workflow Automation**: Utilize **Python** and SQL to build automated reporting frameworks, streamline manual workflows, and optimize data pipelines.
- **AI Integration**: Identify, test, and propose opportunities to integrate **AI tools and models** to enhance operational efficiency and future-proof current processes.
Role Qualifications:
**Role Qualifications**:
**The Successful Applicant**:
- **Academic Background**: Currently pursuing a degree in Engineering, Computer Science, Data Science, Business Analytics, Economics, or a related quantitative field.
- **Advanced Analytics & Scripting**: Strong proficiency in **Python** (for data analysis and automation) and **SQL** (for data extraction). Familiarity with **Claude Code CLI and R** is a plus.
- **Core Tools**: Advanced knowledge of **Excel, Google Sheets** (advanced formulas, pivot tables, complex data manipulation).
- **AI-Assisted Automation**: Hands-on familiarity with **Claude Code CLI** or modern AI coding tools. You know how to use AI assistants through the command line to help write, debug, and automate Python scripts and basic data pipelines, moving beyond basic ChatGPT prompt engineering.

📌 Customer Success Intern (Cuauhtémoc)
🏢 Didi Global
📍 Cuauhtémoc