Remote SCM Data Analyst: AI-Driven Spend Insights

Autoliv; Santiago de Querétaro; Presencial; MXN 500.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible options

Recognition awards

Company events

Family events

University discounts

Descripción de la vacante

Autoliv is seeking an SCM Data Analyst to drive data-driven decisions across Americas Indirect Purchasing. You will analyze spend, supplier, and operational data to uncover cost savings and support category strategies.

The role creates insights via advanced analytics, BI tools, and AI-enabled reporting. Collaborating with Category Managers, Finance, and Plant Ops, you will automate reporting, ensure data accuracy, and deliver meaningful metrics to reduce costs and boost productivity.

Formación

• Bachelor's degree in a related field is required.
• 3–7 years of experience in procurement, analytics, or finance.
• Strong Excel and Power BI skills with advanced modeling.
• Experience with ERP/procurement systems (SAP, Coupa, Oracle, JD Edwards).
• Ability to manage large data sets and derive actionable insights.

Responsabilidades

• Analyze spend, supplier, and operational data to identify cost reductions.
• Support category strategy development and annual planning with spend intelligence.
• Lead analytics activities for productivity workshops and tracking results.
• Improve data quality and governance across supplier and purchasing data.
• Develop and automate dashboards and KPI reporting using Power BI and Copilot.

Conocimientos

Advanced analytics

Power BI

Excel

Data governance

BI reporting

Cross-functional collaboration

Educación

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, or related field

Herramientas

Power BI

Copilot

SAP

Coupa

Oracle

JD Edwards

Descripción del empleo

Autoliv is seeking an SCM Data Analyst to drive data-driven decisions across Americas Indirect Purchasing. You will analyze spend, supplier, and operational data to uncover cost savings and support category strategies.

The role creates insights via advanced analytics, BI tools, and AI-enabled reporting. Collaborating with Category Managers, Finance, and Plant Ops, you will automate reporting, ensure data accuracy, and deliver meaningful metrics to reduce costs and boost productivity.