Kering Category Platform Data Analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7a4a0q

As a Category Platform Data Analyst at Kering, you will support Category Platforms (Leather Goods, RTW, Shoes, Tannery, Metal Hardware) by delivering reliable data, robust analyses, and clear performance insights. You will collaborate with platform leadership to guide data-driven discussions on allocation, capacity, and supplier performance. This role emphasizes analytical support and data quality over procurement execution. You will contribute to platform governance and continuous improvement, shaping how cross-brand data informs decisions across platforms.BenefitsStarting gross yearly compensation around €30,000Annual premio opportunityCompany canteenWelfare initiativesOther benefits per local policiesNational Collective Labour AgreementResponsibilities and QualificationsCollect and consolidate Brand data inputs including volume requirements and capacity informationEnsure data accuracy, consistency,



and transparency across Brands and CategoriesAnalyze volume allocation and capacity utilization to identify risks and bottlenecksReport capacity deviations to the Mutualized Production Assets Lead and support decision-makingDevelop analytical views and scenario simulations for platform discussionsAnalyze supplier performance data to support monitoring and trackingDevelop and maintain platform dashboards and KPI reporting (Power BI/Excel)Prepare executive-ready analyses and presentations for Platform governanceSupport PMO and procurement leads with structured data and insightsContribute to standardization of indicators, reporting logic, and data models across PlatformsSupport continuous improvement to enhance data quality and analytical effectivenessStrong analytical mindset with the ability to structure and synthesize complex dataProficient in Microsoft Excel, PowerPoint, and Power BI; able to build dashboards and reportsExperience with recurring data cycles (monthly allocation, capacity monitoring, supplier tracking)Master's degree in Engineering, Economics, Supply Chain, Operations, Statistics, or related quantitative fieldExperience in data analysis, operations analytics, supply chain, or consultingAbility to translate data into clear business insights for senior stakeholdersDetail-oriented, structured, reliable, with strong data disciplineProactive and collaborative in a multi-brand, matrix organizationFluent in Italian and English; French is a plus#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7a4a0q