Product Coordination Data Analyst
Brand
Christian Dior Couture
Contract
Permanent
Category
Design & Creation
Experience
Almeno 5 anni
Mode
In presenza
City
Paris
Country
France
Published
10/05/2026
Last seen
22/05/2026
About the role
Description
The Product Coordination Data Analyst within the Product Coordination Team is an engineering-profile professional responsible for driving the optimization and control of leather goods collection development and coordination processes through advanced data analysis. This role is essential for ensuring operational efficiency, adherence to deadlines, and proactive resolution of critical issues, providing strategic insights for continuous improvement.
Les missions
AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES
- Develop and implement a structured system for monitoring collections.
- Define and maintain a routine for reporting and analysis, in agreement with the manager and respecting established deadlines.
- Support the replanning of prototype development activities based on style requests, ensuring timely delivery.
- Manage the validation process for individual components (leathers, accessories, etc.) once prototypes are delivered.
- Manage collection launches using Excel, monitoring planning and the progress of "design freezes," ensuring adherence to showroom dates.
- Identify, signal, and manage "red flags" and alerts regarding potential collection delivery delays or reductions in available workload.
- Conduct root cause analysis of delays.
- Support the definition and implementation of structural countermeasures to prevent recurrence of errors.
- Support the manager in defining the team's weekly capacity and ensure a feasible workload, providing bottom-up feedback on maximum capacity.
- Monitor the status of validations with the style team.
- Create and maintain complex Excel databases, integrating and unifying data from various sources.
STRATEGY and KEY TASKS
- Analyze and manage 3-4 collections simultaneously, providing a holistic and proactive view.
- Contribute to defining strategies for optimizing product development processes through data analysis.
- Identify areas for improvement and propose innovative data-driven solutions to increase efficiency and reduce risks.
- Provide data-driven insights to support the management of timelines, costs, and quality of collections.