Revenue Growth Intern — Pricing & Monetization

DiDi Chuxing

Ciudad de México

Hybrid

MXN 89,000 - 134,000

Full time

29 hours ago
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Job summary

DiDi Global Inc. in Mexico City is seeking a motivated Revenue Growth Intern to support pricing, ads monetization, and competitive intelligence initiatives.

You will work closely with the business team to perform competitive research and data-driven analysis that helps identify opportunities to grow revenue and improve the user experience. This internship offers exposure to cross-functional projects, data analysis, and actionable recommendations.

Qualifications

  • Currently enrolled in a Bachelor's or Master's degree, preferably in relevant fields.
  • Knowledge of SQL for data querying and processing tasks.
  • Curious and passionate about research and problem-solving.
  • Comfortable in a fast-paced environment with resilience under pressure.
  • Strong communication and ability to turn analysis into business insights.

Responsibilities

  • Conduct competitive research on pricing, advertising monetization, and market trends.
  • Analyze business and user data to identify growth opportunities and key insights.
  • Support pricing and ads monetization strategy through data-driven analysis.
  • Conduct user experience analysis and translate findings into actionable recommendations.
  • Work with cross-functional teams and cross-country colleagues on strategic initiatives.

Skills

SQL knowledge
Data analysis
Strong communication
Problem-solving

Education

Bachelor's or Master's degree in Business Analytics, Marketing, Data Science, Statistics, Economics

Job description

DiDi Global Inc. in Mexico City is seeking a motivated Revenue Growth Intern to support pricing, ads monetization, and competitive intelligence initiatives.

You will work closely with the business team to perform competitive research and data-driven analysis that helps identify opportunities to grow revenue and improve the user experience. This internship offers exposure to cross-functional projects, data analysis, and actionable recommendations.

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