Supply Chain Analytics Manager - Mexico Operations

SHEIN; Ciudad de México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

SHEIN in Mexico City seeks a Supply Chain Data Analytics Manager to own performance measurement across the end-to-end Mexico supply chain— from cross-border inbound to last-mile delivery. You will define metrics, turn complex data into decisions, and build the reporting rhythm that aligns Planning, Logistics, Fulfillment, and Finance.

You will lead analyses, drive cross-functional improvements, and establish a cadence for continuous cost visibility and faster operating decisions to meet regional

Formación

• 6-8 years in analytics or BI within e-commerce, logistics, or operations preferred.
• 3+ years in supply chain, logistics, fulfillment, or operations analytics.

Responsabilidades

• Own canonical definitions and sources for metrics across the Mexico supply chain.
• Build and run weekly and monthly supply chain reviews (actuals vs. plan).
• Lead deep-dive analyses on operational problems and drive implementations.
• Manage cross-functional improvement projects end-to-end with owners and milestones.
• Establish a recurring improvement pipeline with baseline, root cause, and countermeasures.
• Forecast volume, capacity, and cost in planning and finance partnerships.
• Raise data quality and lineage across OMS, WMS, TMS, and carrier invoices.

Conocimientos

SQL proficiency

BI tools

English proficiency

Analytical thinking

Operational analytics

Herramientas

BI visualization tools

Descripción del empleo

SHEIN in Mexico City seeks a Supply Chain Data Analytics Manager to own performance measurement across the end-to-end Mexico supply chain— from cross-border inbound to last-mile delivery. You will define metrics, turn complex data into decisions, and build the reporting rhythm that aligns Planning, Logistics, Fulfillment, and Finance.

You will lead analyses, drive cross-functional improvements, and establish a cadence for continuous cost visibility and faster operating decisions to meet regional