Kering Category Platform Data Analyst

As a Category Platform Data Analyst, you will play a key role in supporting Category Platforms (Leather Goods, RTW, Shoes, Tannery, Metal Hardware) by providing reliable data, robust analyses, and clear performance insights. You will work closely with Platform leadership, the Platform PMO, the Direct Procurement lead/ the Mutualized Production Assets lead, acting as a data and analytics backbone for platform-level discussions on volume allocation, capacity, and supplier performance. The role is analytical and support-focused, with no direct ownership of procurement strategy or PMO execution.

Responsibilities

Collect, consolidate, and maintain Brands’ data inputs, including volume requirements, allocation proposals, reallocations, and capacity information; Ensure accuracy, consistency, and transparency of platform data across Brands and Categories; Analyze volume allocation and capacity utilization across internal assets, joint ventures, and suppliers, highlighting risks, bottlenecks, and deviations; Report internal assets’ capacity deviations from agreed allocation plans to the Mutualized Production Assets Lead; Provide analytical views and scenario simulations to support platform-level discussions and decision-making; Analyze supplier performance data across key operational KPIs; Develop, maintain, and improve platform dashboards and KPI reporting, primarily using Power BI and Excel; Prepare clear, executive-ready analyses and presentations; Support Platform PMO and Direct Procurement lead/ Mutualized Production Asset lead by supplying structured data, analyses, and insights; Contribute to ongoing standardization of indicators, reporting logic, and data models; Support continuous improvement initiatives aimed at increasing data quality, transparency, and analytical effectiveness

Requirements

Strong analytical mindset, with the ability to structure, analyze, and synthesize complex operational and supply data; Proficient in Microsoft Excel, PowerPoint, and Power BI; able to build and maintain robust dashboards and reports; Comfortable working with recurring data cycles (monthly allocation, capacity monitoring, supplier performance tracking); Master’s degree in Engineering, Economics, Supply Chain, Operations, Statistics, or related quantitative disciplines; Former experience in data analysis, operations analytics, supply chain, consulting, or similar analytical environments; Ability to translate data into clear, business-oriented insights to support senior stakeholders; Detail-oriented, structured, and reliable, with a strong sense of data discipline; Proactive and collaborative, comfortable operating in a multi-brand, matrix organization; Curious and eager to learn within a complex and evolving operational model; Fluent in Italian and English

Nice to have

French

Benefits

Annual bonus opportunity; Company canteen; Welfare; Benefits under applicable National Collective Labour Agreement and by law; Further benefits and initiatives per company policies