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.

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Being part of the Driver Growth Operations team will give you the unique opportunity to build and optimize the supply engine of the leading mobility platform. In this role, you will help transform Driver Management into a high-impact, scalable supply capabilities model across Spanish-Speaking LatAm. Our team builds data-driven acquisition and engagement systems that structurally improve user lifecycles, boost lifetime value, and enhance platform preference.

As a Driver Growth Operations Intern you’ll be the analytical core for our primary scale and quality workstreams. You will maintain and optimize complex automated dashboards, monitor behavioral data patterns, and surface actionable insights needed to scale our regional operations. If you want to combine technical data skills with real-world marketplace logistics in a fast-paced corporate environment, this role offers an ideal proving ground. Your core responsibilities will include:

• Funnel Diagnostics: Track regional user acquisition-to-activation funnels, isolating conversion drop-offs and channel efficiencies to optimize operational resources.


• Cohort Analytics: Maintain performance models evaluating user lifecycles and maturity lags, running precise comparisons between treatment and control populations to isolate incremental performance gains.


• Capacity Planning: Model supply capacity across regional clusters to forecast operational runway and proactively flag localized gaps before they stall expansion.


• Data Pipeline Auditing: Be the primary gatekeeper for data integrity, identifying and resolving systemic anomalies between operational tools and centralized data warehouses.


• Execution Tracking: Build simple compliance frameworks to evaluate field implementation quality, system utilization, and operational workflow adherence.


• Process Automation: Configure automated lifecycle triggers within internal systems and leverage AI tools to eliminate manual reporting or operating loops.

• Education: Enrolled in 5th–8th semester of Actuarial Science, Engineering, Computer Science, Economics, or a similarly ultra-quantitative field.


• Technical Programming: Strong SQL foundations paired with data processing skills in Python (Pandas), R, or similar frameworks to manipulate and model complex datasets independently.


• Automation Mindset: Proactive problem-solver with a strong interest in using tech-driven solutions and AI tools to optimize workflow efficiency.


• Advanced Spreadsheets: Mastery of Excel/Google Sheets (complex logic, structured modeling) to build operational trackers from scratch.


• Execution Rigor: Highly organized with the disciplined time management required to balance university schedules with fast-paced corporate sprints.


• Communication: Professional fluency in both Spanish and English, with the ability to summarize raw trends into clear operational insights.

• 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