Master Data Management Specialist (Retail)

Mô tả Công việc
1. Master Data Maintenance
• Create, update, and maintain master data records, including vendor, product information, ensuring accuracy and completeness.
• Perform routine data entry, updates, and corrections based on approved change requests.
• Monitor data changes to ensure compliance with internal data governance policies and external regulatory requirements.
2. Data Quality Assurance
• Conduct regular audits of master data to identify and correct discrepancies or inaccuracies.
• Implement data validation processes to ensure that all data entries meet established quality standards.
• Collaborate with relevant teams to resolve data quality issues and prevent recurrence.
3. Data Governance
• Ensure that master data adheres to defined standards, including naming conventions, data formats, and categorization.
• Assist in developing and maintaining documentation related to master data management processes and standards.
4. Reporting and Analysis
• Generate and distribute reports related to master data accuracy, completeness, and usage.
• Provide insights and recommendations based on data analysis to improve data management practices.
• Assist in preparing data for internal and external audits, ensuring all information is accurate and readily accessible.
5. System and Process Improvement
• Support the implementation of system enhancements and process improvements related to master data management.
• Work closely with Merchandising and other departments to integrate master data into new systems and workflows.
• Assist in testing and validating system updates or new tools that impact master data management.
6. Collaboration Responsibility:
• Act as a point of contact for master data inquiries from internal audit, providing guidance and support as needed.
• Collaborate with cross-functional teams, including Finance, Operations, and Sales, to ensure data alignment with business needs.
• Provide training and support to end-users on master data management tools and best practices.
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