Retail Planner EMEA (F/M)

We are seeking for a Retail Planner to join our EMEA Head Office in Paris. In this pivotal role, you will be responsible for managing inventory for a specific category to support sales across a designated geographical area. Your analytical acumen will be essential in monitoring distribution, proactively contributing to sales targets, and maintaining optimal stock levels. Inventory Management: Oversee inventory levels to ensure they align with sales objectives and geographical requirements.

Distribution Monitoring: Utilize analytical skills to track and optimize distribution processes, ensuring product availability and stock balance. Stock Optimization: Implement actions based on analysis to adjust target stock levels and rebalance inventory, maximizing sell-through rates. Stakeholder Collaboration: Act as a key liaison with the Store network, maintaining open communication on stock levels and product availability.

Manage inventory flow for new store openings and special events. Cross-Functional Collaboration: Work closely with the Merchandising team, Warehouses, and Central Supply Chain team to address distribution challenges and support global objectives. Supply Chain Expertise: Educate and support stores in Supply Chain processes, ensuring high operational standards. Project

Support: Contribute to special projects aimed at improving departmental practices and overall performance. To excel in this role, you should possess: Communication

Advanced communication abilities to create consensus, persuade, and unite stakeholders. Problem-Solving: A client-centric approach to resolving complex organizational and technical issues. Analytical

Strong analytical capabilities to interpret large data sets and make informed decisions on product flows. Educational Background: A master’s degree from an Engineering School, Business School, or University. Experience: At least two years of experience in a similar role and environment. Industry Knowledge: Familiarity with Luxury Retail and Supply Chain processes. Language Proficiency: Fluent in English. Technical

Advanced computer literacy and knowledge of data analytics are advantageous.