Senior Customer Success Data & Automation Analyst

Didi; Bogotá ciudad; Híbrido; COP 100.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

DiDi Global Inc. seeks a Senior Customer Success Analyst (Account Ops & Onboarding) in Bogota to lead data-driven initiatives that support restaurant partners. You will model metrics, surface insights, and drive improvements across Commercial, Operations, Product, and Strategy with a focus on scalable processes.

You will own end-to-end analyses—from data modeling to storytelling—turning multi-source data into decisions that improve KPIs and reduce bottlenecks, in a Hybrid Colombia-based role.

Formación

• Degree in quantitative field as listed.
• Strong SQL and Python skills; interest in AI and automation; advanced Excel/Slides.
• Analytical abilities focused on turning data into insights.
• Attention to detail, proactive mindset, ownership, and teamwork.
• Languages: Spanish and English proficiency.

Responsabilidades

• Driving automation and AI initiatives with Python/SQL to automate reporting.
• Generating actionable insights from advanced analyses for action plans.
• Forecasting and capacity planning to optimize resources.
• Establishing data quality and governance across sources.
• Communicating with clear, executive-ready narratives and dashboards.

Conocimientos

Attention to detail

Proactive mindset

Ownership

Process optimization

Communication

Teamwork

Spanish & English

Educación

Degree in Systems Engineering, Statistics, Data Science, Economics, or related quantitative field

Herramientas

SQL

Python

Excel

PowerPoint/Google Slides

Descripción del empleo

DiDi Global Inc. seeks a Senior Customer Success Analyst (Account Ops & Onboarding) in Bogota to lead data-driven initiatives that support restaurant partners. You will model metrics, surface insights, and drive improvements across Commercial, Operations, Product, and Strategy with a focus on scalable processes.

You will own end-to-end analyses—from data modeling to storytelling—turning multi-source data into decisions that improve KPIs and reduce bottlenecks, in a Hybrid Colombia-based role.