Ecommerce Delivery Analytics Associate

PepsiCo; Miguel Hidalgo; In loco; MXN 201.000 - 312.000; Tempo pieno

Descrizione del lavoro

PepsiCo Inc. is seeking an Associate Analyst in Field Sales to provide centralized GTM analytics for ecomm and to ensure order setup for future deliveries.

You will manage daily delivery appointments, coordinate with the ecomm program team and field sales, and gather, consolidate and format data related to ecomm post-delivery OMS. You will build daily flows for ecomm deliveries to support timely execution and contribute to productivity analysis while developing strong relationships with multiple

Competenze

• Accounting, Business Administration, or equivalent Bachelor's degree.
• 1-2 years of relevant professional experience.
• Customer focused, adaptable, strong follow up and organizational skills.
• Advanced skills in communication and cross-team collaboration.
• Proficient in Microsoft Office suite and English communication.

Mansioni

• Ecomm Central delivery appointments.
• Daily communication to ecomm Program team and field sales.
• Gather, consolidate and format data related to ecomm post delivery OMS.
• Interact and align with the ecomm design execution team.
• Build and consolidate daily flow of ecomm deliveries for timely execution.
• Productivity Execution & Analysis.

Conoscenze

Communication

Organizational skills

Team collaboration

Customer focus

Problem solving

Formazione

Accounting, Business Administration, or equivalent Bachelor's degree

Strumenti

Microsoft Word

Microsoft Excel

PowerPoint

Outlook

Descrizione del lavoro

PepsiCo Inc. is seeking an Associate Analyst in Field Sales to provide centralized GTM analytics for ecomm and to ensure order setup for future deliveries.

You will manage daily delivery appointments, coordinate with the ecomm program team and field sales, and gather, consolidate and format data related to ecomm post-delivery OMS. You will build daily flows for ecomm deliveries to support timely execution and contribute to productivity analysis while developing strong relationships with multiple