FOOTWEAR DATA & ANALYTICS COORDINATOR (F/H)

• Produce and maintain regular Sell In and Sell Out reports (weekly, monthly, seasonal) for the Footwear Business Unit.
• Analyze performance by market, channel, product category, collection, franchise and SKU.
• Track performance versus targets, prior year, and forecasts.
• Ensure consistency and alignment between Sell In, Sell Out, stock and forecast data.

Main Responsibilities

Sell In / Sell Out Analysis & Reporting

• Produce and maintain regular Sell In and Sell Out reports (weekly, monthly, seasonal) for the Footwear Business Unit.
• Analyze performance by market, channel, product category, collection, franchise and SKU.
• Track performance versus targets, prior year, and forecasts.
• Ensure consistency and alignment between Sell In, Sell Out, stock and forecast data.

Business Performance Monitoring

• Monitor and analyze key KPIs: revenue, volumes, margins, sell-through, stock coverage and channel performance.
• Support monthly and seasonal business reviews with clear analyses and insights.
• Translate data into actionable recommendations for Footwear teams (Sales, Merchandising, Supply, Marketing).

Data Coordination & Tools

• Act as a key point of contact between the Footwear BU, local markets and central Data / Finance / IT teams.
• Ensure data accuracy, reliability and timely reporting from markets.
• Contribute to the continuous improvement of reporting tools, dashboards and data processes.
• Support data harmonization and automation initiatives.

Ad Hoc Analysis & Decision Support

• Deliver ad hoc analyses to support business decisions (product launches, franchise performance, stock allocation, market prioritization).
• Prepare clear and concise presentations and dashboards for management.

Profile

• Degree in Business, Finance, Data Analytics, Engineering or a related field
• 5 minimum years of experience in data analysis, business analysis or reporting roles
• Exposure to Sell In / Sell Out analysis in an international environment
• Advanced Excel skills
• Experience with BI and data visualization tools (Power BI, Tableau or equivalent)
• Ability to manage and analyze large datasets from multiple sources
• Strong understanding of retail and wholesale performance drivers
• Strong analytical mindset and attention to detail
• Ability to synthesize complex data into clear business insights
• Structured, reliable and well-organized
• Strong stakeholder management and cross-functional collaboration skills
• Proactive, autonomous and business-oriented
• Fluent English required