Senior Analyst – Passenger Loyalty & Growth

DiDi; Ciudad de México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

DiDi Global Inc. in Mexico City is seeking a Passenger Loyalty Senior Analyst to own loyalty programs for a defined Latin American cohort.

You will shape strategy, analyze passenger data, build business cases, and collaborate with Product, Engineering, Data Science, Marketing and Finance to drive retention and ride frequency. You will design experiments, evaluate outcomes, and translate insights into actionable product improvements, contributing to sustainable growth and a best-in-class loyalty

Formación

• 2–4 years in product analytics, growth, loyalty, or related role with measurable outcomes.
• Hands-on product experience partnering with product and technical teams.
• Strong analytical skills with SQL and Excel/Sheets; Python or R beneficial.
• Fluency in English and Spanish for stakeholders.
• Understanding of retention, frequency, cohorts and customer lifetime value metrics.
• Experience with experimentation and A/B testing.
• Ability to prioritize opportunities and influence decisions.

Responsabilidades

• Define strategy and roadmaps for your products or programs.
• Own performance: monitor retention, ride frequency, engagement, and program adoption.
• Develop business cases with costs and expected returns.
• Translate insights into product requirements with design and engineering teams.
• Lead cross-functional execution with stakeholders across multiple teams.
• Design and evaluate experiments using A/B tests and pilots.
• Communicate results and recommendations to leadership.

Conocimientos

SQL

Excel/Sheets

Python/R

Bilingual EN/ES

Cohort analysis

A/B testing

Stakeholder mgmt

Strategic thinking

Herramientas

Tableau

Looker

Power BI

Descripción del empleo

DiDi Global Inc. in Mexico City is seeking a Passenger Loyalty Senior Analyst to own loyalty programs for a defined Latin American cohort.

You will shape strategy, analyze passenger data, build business cases, and collaborate with Product, Engineering, Data Science, Marketing and Finance to drive retention and ride frequency. You will design experiments, evaluate outcomes, and translate insights into actionable product improvements, contributing to sustainable growth and a best-in-class loyalty