Primover Consultancy Services, Inc.
Master Data Analyst
Skills
1 month ago
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Important information
Contract type:
Freelance / Contract
Location:
Taguig, Metro Manila, Philippines
Work mode:
Onsite
Published on:
25 September 2026
What they need
Job Qualifications (Years of experience, Age, Gender, Tools, Skill/Technical Stack):
- Bachelor’s degree in business, Supply Chain, Information Systems, or a related field.
- Experience in Master Data Management, preferably within FMCG, manufacturing, or supply chain operations.
- Strong working knowledge of SAP Master Data creation and maintenance.
- Proficient in MS Excel; advanced Excel skills preferred.
- Strong attention to detail with high standards for data accuracy and integrity.
- Ability to analyze, validate, and reconcile data from multiple sources.
- Strong organizational and problem-solving skills with the ability to manage high-volume data.
- Able to work independently with minimal supervision and meet strict deadlines.
Job Specifications Master Data Creation & Maintenance
- Create and extend finished goods SKU master data in SAP based on approved RNPD requirements, ensuring accurate and timely setup.
Master Data Updates
- Maintain SKU status, including timely phase-out, updates, and other required master data changes in SAP.
Data Accuracy & Integrity
- Review, validate, and correct master data using relevant data sources and ensure alignment with Factory and Global Master Data standards.
Logistics Data Support
- Ensure master data required by the EFE Logistics team for container building is complete, accurate, and up to date.
Master Data Cleansing
- Conduct regular data reviews and cleansing activities, including the validation of 440+ SKUs and correction of key master data parameters.
Data Quality & Compliance
- Ensure master data activities meet established accuracy, completeness, and turnaround-time requirements and resolve data discrepancies promptly.
Stakeholder Coordination
- Coordinate with RNPD, Demand Planning, Logistics, Factory, and Global Master Data teams to resolve data issues and maintain data consistency.
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