Footwear Data & Analytics Manager

Descrizione del lavoro:

About the role

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

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

Skills

Advanced Excel skills
Experience with BI and data visualization tools (Power BI, Tableau or equivalent)
Fluent English required