Marketplace Operations Analytics Intern

DiDi Global; Ciudad de México; On-site; MXN 100,000 - 167,000; Full time

Job summary

DiDi Global Inc. is seeking an Intern with strong analytical skills to support the Mexico Moto team. You will analyze datasets with SQL and Python, build dashboards, and collaborate with strategy, operations, product, and commercial teams to drive supply and demand growth across LatAm.

Grow your skills in predictive modeling, causal inference, and time-series analyses while contributing to high-impact projects that influence business decisions in a fast-paced environment.

Qualifications

• Strong analytical skills and experience with SQL and Python.
• Ability to translate complex data into clear insights and actionable recommendations.
• Experience with data visualization tools (Tableau/Power BI) to build impactful dashboards is a plus.

Responsibilities

• Analyzing datasets using SQL and Python to uncover insights for strategic decisions.
• Building predictive models and analyses to evaluate restaurant performance and forecast trends.
• Designing data experiments to measure impact of initiatives and promotions.
• Creating dashboards to provide clear, actionable insights to the commercial team.
• Collaborating with cross-functional teams to translate data into business actions.
• Contributing to scalable analytical frameworks that improve decision-making across markets.
• Automating recurring analyses and reporting to increase efficiency.
• Exploring new data sources and methodologies to improve understanding of behavior.

Skills

SQL

Python

Analytical thinking

Communication

Cross-functional collaboration

Problem solving

Data storytelling

Education

Internship availability 12 months

Tools

Tableau

Power BI

Job description

DiDi Global Inc. is seeking an Intern with strong analytical skills to support the Mexico Moto team. You will analyze datasets with SQL and Python, build dashboards, and collaborate with strategy, operations, product, and commercial teams to drive supply and demand growth across LatAm.

Grow your skills in predictive modeling, causal inference, and time-series analyses while contributing to high-impact projects that influence business decisions in a fast-paced environment.