Customer Success Data Analyst

DiDi; Bogotá; Presencial; COP 100.440.000 - 145.080.000; Jornada completa

Descripción de la vacante

DiDi Global Inc. is seeking a highly analytical Customer Success Analyst (Account Ops & Onboarding) to support the DiDi Food team in Colombia and LATAM.

You will manage end-to-end restaurant partner setup, device logistics, feature adoption, and technical support to drive long-term success. The role emphasizes data-driven decision making, building dashboards, and partnering with Sales, Operations, Product, and Strategy to turn multi-source data into actionable insights that improve KPIs and

Formación

• Degree in Systems Engineering, Statistics, Data Science, Economics or related quantitative field.
• SQL knowledge is required (ability to write clean queries, perform joins, and extract data efficiently).
• Python knowledge is required (data manipulation, basic statistics, automation scripting).
• Strong interest in applying AI and advanced automation to solve business problems.
• Advanced Excel or Google Sheets skills.
• Good command of PowerPoint or Google Slides for data storytelling.

Responsabilidades

• Supporting automation and AI initiatives: deploy scalable solutions to automate reporting and tasks.
• Uncovering actionable insights: extract data and identify trends to inform action plans.
• Tracking capacity and productivity: analyze agents' productivity metrics to optimize resource allocation.
• Ensuring data quality & reporting: maintain data pipelines and multi-source dashboards.

Conocimientos

SQL

Python

Excel

PowerPoint

Data storytelling

Data analysis

Communication

Teamwork

English

Spanish

Educación

Systems Engineering

Statistics

Data Science

Economics

Herramientas

Excel

PowerPoint

Descripción del empleo

DiDi Global Inc. is seeking a highly analytical Customer Success Analyst (Account Ops & Onboarding) to support the DiDi Food team in Colombia and LATAM.

You will manage end-to-end restaurant partner setup, device logistics, feature adoption, and technical support to drive long-term success. The role emphasizes data-driven decision making, building dashboards, and partnering with Sales, Operations, Product, and Strategy to turn multi-source data into actionable insights that improve KPIs and