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Merchandising Assistant - DFS2231644 in Hong Kong at DFS

Date Posted: 3/13/2019

Job Snapshot

Job Description

Merchandising Assistant

Key Responsibilities:
• Communicate with global GMO on skus maintenance
• New products creation
• New order PO issue
• Promotion input, monitor promotion executions
• Manages VST invoicing and payment
• Maintain cost and retail in SAP
• Data input and system updates Stock Management
• Weekly Replenishment and PO issue to vendors
• Verify items presentation stock settings in each location, update setting in system
• Verify delivery processes (DSD, Warehouse cross-docking, TXT settings, store booking)
• To deal with stores and warehouse and to maintain smooth co-ordination among them on stock issue, delivery schedule update, helps fix stock booking issues, or stock returns Vendor Management
• New vendor creation, maintain vendor information in related system
• Monitor and maintain vendor payment and invoicing
• GWP, Tester and VM requests and coordination with vendors
• Promotion execution and staff incentive results coordination with vendors
• Input spiff in SACOMM Reporting
• Generate daily, weekly and monthly INSIGHT sales and margin reports
• Prepare OTB weekly receipt update report
• Maintain costs and pricing reports
• Maintain weekly stock sales and turn quantity and value reports
• To prepare statistical reports for merchandise manager’s analysis on requests Merchandising Administration
• Follow up on correspondences, requests and projects as directed by Merchandise Manager
• Assists all aspects of daily clerical support to the team

Key Requirements:
• College degree or equivalent experience preferred
• Previous merchandising and/or planning experience preferred
• Excellent working knowledge of Microsoft Excel, Word and Powerpoint
• Excellent written and verbal communication skills to a variety of organizational levels
• Good at problem solving abilities and handling multiple priorities
• Very detail oriented, with a high level of accuracy and the ability to detect inconsistencies in data