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 flexible 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.

For more information, please visit: www.didiglobal.com/news

#LI-Hybrid

At DiDi Food, we're redefining the food delivery industry through innovation and data-driven solutions, creating exceptional experiences for our customers, restaurant partners, and couriers.

Our Trade Marketing team is looking for an Intern with strong analytical and data skills, eager to learn and support the development and execution of trade marketing initiatives. This internship offers the opportunity to contribute to high-impact projects across Mexico, Colombia, Peru, and Costa Rica, helping analyze performance data, support campaign planning, and ensure effective implementation of marketing materials.

In this role, you’ll work closely with cross-functional teams, helping transform insights into actionable activities that drive restaurant visibility, engagement, and growth, strengthening DiDi Food’s presence in the market.

• Analyzing large datasets using SQL and Python to evaluate trade marketing performance, identify optimization opportunities, and support strategic decision-making.


• Building predictive models and statistical analyses to forecast the impact of trade marketing campaigns, restaurant engagement, and material effectiveness.


• Designing and running data-driven experiments (e.g., causal inference, A/B testing, uplift modeling, time-series analysis) to measure the effectiveness of trade marketing initiatives and promotional strategies.


• Creating dashboards and data visualizations that clearly communicate campaign performance, material installation status, and restaurant-level insights to the commercial and operations teams. 


• Collaborating with cross-functional teams (Commercial, Strategy, Operations, and Product) to translate analytical findings into concrete trade marketing actions and execution plans.


• Developing scalable analytical frameworks and scorecards to prioritize restaurants, optimize budget allocation, and standardize performance evaluation across markets.


• Automating recurring analyses, tracking tables, and reporting processes to enhance efficiency and accuracy in monitoring trade marketing KPIs.


• Exploring new data sources, methodologies, and analytical approaches to deepen understanding of restaurant behavior, material effectiveness, and local market dynamics.

• Strong interest in data analysis and the ability to work with large datasets using SQL and Python at a beginner or intermediate level;


• Basic understanding of statistics, data modeling, and quantitative analysis to support trade marketing decisions;


• Ability to translate data findings into clear insights that support campaign planning and execution;


• Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar) to help build and maintain dashboards;


• A problem-solving mindset and curiosity to explore data, identify trends, and spot opportunities to improve trade marketing performance;


• Good communication skills to collaborate effectively with cross-functional teams;


• Enthusiasm for using data and technology to support business performance and trade marketing initiatives.

• We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.
• We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.
• We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.
• We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.
• We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.
• We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms