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KERING Category Platform Data Analyst

Kering
Milano, Milano, Italyfull_timeVerifiedPosted 7 Jul 2026
💰 €30,000/yr

About the role

Summary

Groupe de luxe mondial né d’une histoire familiale et entrepreneuriale, Kering réunit un ensemble de Maisons reconnues pour leur créativité en matière de couture et de prêt-à porter, de maroquinerie, de joaillerie, de lunetterie et de beauté : Gucci, Saint Laurent, Bottega Veneta, Balenciaga, McQueen, Brioni, Boucheron, Pomellato, Dodo, Qeelin, Ginori 1735, ainsi que Kering Eyewear. Inspirées par leur histoire et par leur patrimoine, les Maisons du Groupe conçoivent et façonnent des produits et des expériences d'exception qui reflètent l’engagement de Kering pour l’excellence, le développement durable et la culture. Cette vision s’incarne dans la signature du Groupe : Creativity is our Legacy. Comptant 44 000 collaborateurs, Kering a réalisé un chiffre d’affaires de 14,7 milliards d’euros en 2025.

Job Description

The Group Industrial Organization is responsible for enabling transparency across Brands, supporting industrial and supplier mutualization, and enabling data-driven decision-making across Categories. Kering Industrial Organization is currently seeking a Category Platform Data Analyst, who will report to the Head of Strategic Operations.

Your opportunity

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.

How you will contribute

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, acting as a reference point for data reliability

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, supporting preferred supplier monitoring and performance tracking over time

Develop, maintain, and improve platform dashboards and KPI reporting, primarily using Power BI and Excel

Prepare clear, executive‑ready analyses and presentations supporting Platform governance and alignment discussions

Support the Platform PMO and Direct Procurement lead/ Mutualized Production Asset lead by supplying structured data, analyses, and insights, without ownership of decisions or execution

Contribute to ongoing standardization of indicators, reporting logic, and data models across Platforms and Brands

Support continuous improvement initiatives aimed at increasing data quality, transparency, and analytical effectiveness

Who you are

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

Curio

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Company

Kering

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