Commercial Planning Master Data Analyst

PepsiCo Inc.; Ciudad de México; Presencial; MXN 240.000 - 420.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Learning programs

Internal digital platforms for self‑学习

Leadership development programs

Wellness and discounts

Flexible work program

Descripción de la vacante

PepsiCo Inc. in Mexico City is seeking a Commercial Planning Master Data Analyst to collaborate with R&D, Marketing, Finance and PMO to ensure Business Proposals meet PepsiCo's commercial strategy.

You will own product master data decisions, ensure data quality across over 200 downstream systems, and determine when to create new UPCs and internal product codes while aligning packaging and pricing attributes.

Formación

• Minimum Bachelor’s Degree in Business, Supply Chain, Engineering, Business Analytics or similar field required.
• Fluent English written and verbal skills required.
• 0-2 years of professional experience in Commercialization, Master Data with demonstrated experience in an analytical and/or project based role required.
• Intermediate to Advanced Excel skills for data extracts,analysis and reporting required.
• Working knowledge of PowerBi, SAP, Oracle is preferred.

Responsabilidades

• Ensure Master Data accuracy across PepsiCo systems.
• Manage product master data and UPCs, codes, pricing details.
• Support 100–150 business proposals per year.
• Collaborate with R&D, Marketing, Finance and PMO on BP needs.
• Own the Packaging Graphics Requisition and data attributes.

Conocimientos

Fluent English

Analytical skills

Cross-functional collaboration

Educación

Bachelor’s Degree in Business, Supply Chain, Engineering, Business Analytics or similar field

Herramientas

Excel

PowerBi

SAP

Oracle

Descripción del empleo

PepsiCo Inc. in Mexico City is seeking a Commercial Planning Master Data Analyst to collaborate with R&D, Marketing, Finance and PMO to ensure Business Proposals meet PepsiCo's commercial strategy.

You will own product master data decisions, ensure data quality across over 200 downstream systems, and determine when to create new UPCs and internal product codes while aligning packaging and pricing attributes.