Night Shift: Global Order & Data Administrator

Nestlã©

Philippines

On-site

PHP 260,000 - 380,000

Full time

2 days ago
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Job summary

Nestlé Business Solutions in the Philippines is hiring a Business Order Administration Analyst (Night Shift) to support processing customer orders and data management. Join a global team delivering accurate order releases and KPI-driven improvements.

Requirements include a Bachelor’s degree in Accounting or business, 1+ year in accounts receivable, and working knowledge of SAP or MS Applications; strong data accuracy and cross-functional collaboration are essential.

Qualifications

  • Bachelor’s degree in Accounting or business field.
  • 1+ year of experience in accounts receivable.
  • Prior experience with financial data management.
  • Working knowledge in SAP or MS Applications.
  • High accuracy in data entry and analysis.
  • Ability to collaborate across cross-functional teams.

Responsibilities

  • Consider requests for processing of customer related data.
  • Check information related to online order and customer data management requests.
  • Perform actions in the system based on verification results.
  • Interact with company divisions and initiators to gather necessary information.
  • Provide accurate and timely customers' orders release.
  • Perform controls according to standards.
  • Reach targets for KPIs and improve business processes.
  • Build good relationships with partners worldwide.

Skills

Data entry accuracy
Analytical thinking
Cross-functional collaboration

Education

Bachelor’s degree in Accounting or business

Tools

SAP
MS Applications / MS Excel

Job description

Nestlé Business Solutions in the Philippines is hiring a Business Order Administration Analyst (Night Shift) to support processing customer orders and data management. Join a global team delivering accurate order releases and KPI-driven improvements.

Requirements include a Bachelor’s degree in Accounting or business, 1+ year in accounts receivable, and working knowledge of SAP or MS Applications; strong data accuracy and cross-functional collaboration are essential.

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