Senior Growth Analytics Lead, Driver Ops LATAM

Didi

Ciudad de México

Hybrid

MXN 600,000 - 900,000

Full time

14 days+

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Job summary

DiDi is expanding its Driver Growth team, focusing on data analytics, quality management, and operational optimization across Spanish-speaking LATAM regions. You will analyze driver quality, conversion, and retention, and build AI-assisted dashboards to inform strategies across multiple markets.

You will collaborate with regional stakeholders to design incentive and retention programs, monitor KPIs, and drive adoption of AI-powered workflows in a fast-paced environment.

Qualifications

  • Strong analytical and quantitative skills with a data-driven approach.
  • Hands-on experience building dashboards or tools, with potential AI-assisted work.
  • Ability to coordinate across countries and functions to drive impact.

Responsibilities

  • Own end-to-end analysis of driver quality, conversion, and retention across SSL countries.
  • Build and maintain dashboards, forecasting models, and reports; leverage AI-enabled tooling.
  • Track and report core KPIs by country/city/product line.
  • Partner with product, operations, incentives, CX to design and test incentive programs.
  • Coordinate data-quality processes across countries and drive fixes with local teams.
  • Present findings to senior stakeholders with clear, decision-ready narratives.
  • Drive AI adoption and develop workflows and tools with AI.

Skills

Data analysis
Dashboards
SQL
Python
AI tools

Education

Bachelor's degree in a quantitative field

Tools

Tableau
Excel

Job description

DiDi is expanding its Driver Growth team, focusing on data analytics, quality management, and operational optimization across Spanish-speaking LATAM regions. You will analyze driver quality, conversion, and retention, and build AI-assisted dashboards to inform strategies across multiple markets.

You will collaborate with regional stakeholders to design incentive and retention programs, monitor KPIs, and drive adoption of AI-powered workflows in a fast-paced environment.

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