Professional Data Analyst

Location : Taguig, Philippines

Setup : Onsite

Employment Type: Full Time

AT COCA-COLA EUROPACIFIC PARTNERS

At Coca-Cola Europacific Partners (CCEP), you always know you’re part of something special and iconic. We are the faces that make, move and sell some the world’s most loved brands. We are a global business and one of the leading consumer goods companies in the world.

We are successful because we are passionate, hard-working and committed to our products, our customers and each other. We help our customers grow, and are constantly investing in exciting new products, innovative technologies and fresh ideas that helps us to delight millions of people who enjoy our drinks every day. CCEP is a place where people can grow, be happy and be well in a safe, open and inclusive workplace.

We are international in presence but local at heart-we firmly invested in our local economies and the communities we love; because beyond delivering results for customers

Career Experience

• University degree preferably in business management, data studies or comparable course of studies
  
  

Professional Experience:

• 1–3 years of experience in SAP Master Data, Supply Chain, or Operations
• Process & Operational Excellence experience and approach
• Strong Data Mindset & Passion for Data
• Demonstrable relationship building experience withing a multinational environment; great Team player
• Curious and problem-solving nature
• Demonstratable understanding of Market-to-Order & Supply Chain Processes and the data solutions & systems enabling them would be considered an advantage
• Ability to confidently make rapid decisions in a dynamic business environment
• Very strong time management, planning and organizing skills
• Can-do attitude & proactivity mindset
• Technical acumen – you are able to quickly pick up new systems, tools including Advanced excel.
• Attention to details
• Analytical skills
  
  

Behavioral Competencies

• Attention to detail and accuracy
• Collaboration and teamwork
• Clear communication and stakeholder engagement
• Adaptability in a fast‑paced, deadline‑driven environment
• Continuous improvement mindset; comfortable with change and ambiguity
  
  

YOUR ROLE

Part of the Innovative New Product Introduction excellence organization in CCEP the role is responsible for the timely and accurate setup and design of Forecast to load data objects including project planning & milestones, risk mitigation, coordination with the stakeholders of data elements required for accurate, complete, and available on time to support business planning and operational processes. It includes data quality, governance compliance, load execution, issue resolution, and continuous process improvement within the Forecast-to-Load ecosystem.

This involves being able to understand the business needs of the different business areas, the processes and data elements required by SAP and other systems to support these needs within the country while reflecting specific customer & legal requirements within the end design. Context: extremely dynamic and versatile multi-cultural business.

Key Responsibilities

• Create, maintain, and validate material master records in SAP systems
• Manage material attributes
• Handle lifecycle management of the different data objects in scope (creation, extension, changes, blocking, and deletion)
• Ensure accuracy, completeness, and consistency of master data across plants, warehouses, and sales organizations
• Monitor and resolve data inconsistencies, duplicates, and errors
• Enforce master data governance policies, naming conventions, and approval workflows
• Support new product launches (NPD/NPI) by ensuring timely and correct master data setup
• Ensure forecast to load data is complete, accurate, and aligned with established business rules
• Ensure compliance with internal controls, audit requirements, and FMCG regulatory standards
• Maintain documentation and audit trails for master data changes
• Identify process gaps and drive data quality improvements
• Support system upgrades, migrations, and master data clean-up initiatives

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