Offre d'emploi Footwear Data & Analytics Manager (F/H)

At the crossroads of fashion and sport, Lacoste creates and liberates movement. Both universal and timeless, the brand transcends cultures and generations, elevating the crocodile as a rallying sign.

An iconic French brand present in nearly 100 countries, Lacoste stands out for its unique know-how in each of its areas of expertise, from garment factory to omnichannel distribution.

At Lacoste, elegance goes beyond style. This elegance guides all of its actions and its social and environmental commitments.

Working at Lacoste is belonging to a community of 8,500 employees on the move to build the future. Committed to making equal opportunities a reality and to revealing potential, the company brings together talents from all walks of life, embracing their differences.

Lacoste is one of the inspiring brands driven by passionate people within the MF Brands Group, alongside Aigle, Gant and Tecnifibre (https://mf-brands.com/).

Main responsibilities:

Sell In / Sell Out Analysis & Reporting

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Produce and maintain regular Sell In and Sell Out reports (weekly, monthly, seasonal) for the Footwear Business Unit.

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Analyze performance by market, channel, product category, collection, franchise and SKU.

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Track performance versus targets, prior year, and forecasts.

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Ensure consistency and alignment between Sell In, Sell Out, stock and forecast data.

Business Performance Monitoring

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Monitor and analyze key KPIs: revenue, volumes, margins, sell-through, stock coverage and channel performance.

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Support monthly and seasonal business reviews with clear analyses and insights.

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Translate data into actionable recommendations for Footwear teams (Sales, Merchandising, Supply, Marketing).

Data Coordination & Tools

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Act as a key point of contact between the Footwear BU, local markets and central Data / Finance / IT teams.

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Ensure data accuracy, reliability and timely reporting from markets.

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Contribute to the continuous improvement of reporting tools, dashboards and data processes.

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Support data harmonization and automation initiatives.

Ad Hoc Analysis & Decision Support

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Deliver ad hoc analyses to support business decisions (product launches, franchise performance, stock allocation, market prioritization).

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Prepare clear and concise presentations and dashboards for management.

Profile:

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Degree in Business, Finance, Data Analytics, Engineering or a related field

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5 minimum years of experience in data analysis, business analysis or reporting roles

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Exposure to Sell In / Sell Out analysis in an international environment

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Advanced Excel skills

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Experience with BI and data visualization tools (Power BI, Tableau or equivalent)

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Ability to manage and analyze large datasets from multiple sources

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Strong understanding of retail and wholesale performance drivers

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Strong analytical mindset and attention to detail

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Ability to synthesize complex data into clear business insights

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Structured, reliable and well-organized

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Strong stakeholder management and cross-functional collaboration skills

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Proactive, autonomous and business-oriented

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Fluent English required