We are looking for a highly organised and detail-oriented Product Data Analyst to support product data governance, Bill of Materials (BOM) management, product lifecycle administration, and commercialisation activities. This role is responsible for maintaining accurate product data across ERP and PLM systems, supporting engineering changes, managing product and packaging BOMs, and ensuring data quality throughout the product lifecycle.
You will provide the best service to our partner brands by performing these tasks:
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Manage and validate product data throughout the product lifecycle.
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Ensure product data accuracy, completeness, and consistency across ERP and PLM systems.
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Create and maintain product SKUs, UPC/GTIN, and EAN codes.
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Manage item creation and BOM assignments within Oracle EBS and PLM systems.
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Create and maintain Colour Variant Bills of Materials (BOMs).
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Support Packaging BOM creation and maintenance.
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Execute Engineering Change Orders (ECOs) and support engineering transitions.
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Maintain product master data, attributes, hierarchies, and relationships.
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Perform bulk uploads, downloads, and data validation activities.
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Update Planning Details, Sourcing Rules, Approved Supplier Lists, and organisation assignments within Oracle EBS.
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Support Product Lifecycle Management (PLM) migration and commercialisation initiatives.
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Manage supplier quote creation and revisions.
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Create sample requests for Product, Packaging, Marketing, and Sales teams.
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Monitor and resolve data quality issues while ensuring compliance with business rules and standards.
Requirements
Who are we looking for?
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Bachelor’s degree in Business Administration, Supply Chain, Information Systems, Industrial Engineering, or a related field.
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1 to 2 years of experience in Product Data Management, Bill of Materials (BOM) creation and maintenance, and Product Lifecycle Management (PLM) systems.
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Strong understanding of BOM structures, product lifecycle processes, and product master data management.
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Experience working with ERP systems, preferably Oracle EBS.
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Advanced Microsoft Excel skills.
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Experience managing large datasets with a strong focus on data accuracy and validation.