Settlement Data Analytics Specialist

Didi-Global-; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

DiDi Global Inc. is expanding its Mexico logistics team to build a new settlement and billing function for partner vendors. This role focuses on end-to-end settlement, pricing rule implementation, and strong data analysis to support pricing and compliance decisions.

You will work with Finance to ensure accurate accruals and tax documentation, and you will drive automation and AI-driven reconciliation to reduce manual work and errors. The position is full-time and based in Mexico City.

Formación

• Fluent English for cross-regional reporting and analysis.
• 5+ years of work experience in related roles.
• Strong data analysis capability with large-scale data handling; SQL required.
• Proficient with AI tools for reconciliation and anomaly detection.
• Excellent business sense and high rigor; capable of tough validation.

Responsabilidades

• Own end-to-end settlement cycle for vendor partners and translate pricing rules into calculation logic.
• Guarantee accuracy; reconcile order data against pricing rules and Finance records; manage disputes end to end.
• Maintain full traceability: ensure statements are reproducible from source data.
• Provide cost inputs to Operations for pricing and supply-structure decisions.
• Autonomously build automated validation and anomaly detection; move toward automation.

Conocimientos

Fluent English

5+ years experience

Data analysis

SQL

AI tools

Business acumen

Attention to detail

Herramientas

Python

BI tools

Automation tooling

Descripción del empleo

DiDi Global Inc. is expanding its Mexico logistics team to build a new settlement and billing function for partner vendors. This role focuses on end-to-end settlement, pricing rule implementation, and strong data analysis to support pricing and compliance decisions.

You will work with Finance to ensure accurate accruals and tax documentation, and you will drive automation and AI-driven reconciliation to reduce manual work and errors. The position is full-time and based in Mexico City.