Kering Category Platform Data Analyst
Pubblicato il 16-09-2026 - Kering in Milano
Overview
As a Category Platform Data Analyst, you enable data-driven decisions for Leather Goods, RTW, Shoes, Tannery, and Metal Hardware platforms.
You will provide reliable data, analyses, and executive-ready insights to platform leadership and PMO, focusing on volume allocation, capacity, and supplier performance.
Your work supports governance, standardization, and continuous improvement of platform data and reporting.
This role combines analytics with cross-brand collaboration to drive operational efficiency and transparency.
Retribuzione / Benefits
Starting gross salary: ****** per year
Annual premio opportunity
Company canteen
Welfare initiatives
Benefits in line with national collective agreement
Diversity and inclusion commitment
Responsabilità
Collect and consolidate data inputs (volume requirements, allocations, capacity)
Ensure data accuracy and transparency across Brands and Categories
Analyze volume allocation and capacity utilization, highlighting risks and deviations
Report capacity deviations to the Mutualized Production Assets Lead
Provide analytical views and scenario simulations for platform discussions
Analyze supplier performance data across key KPIs
Develop and maintain platform dashboards and KPI reporting (Power BI, Excel)
Prepare executive-ready analyses and presentations for Platform governance
Support PMO and procurement leads with structured data and insights
Contribute to standardization of indicators, reporting logic, and data models
Support continuous improvement initiatives to enhance data quality and analytics
Requisiti fondamentali
Strong analytical mindset with ability to structure complex data
Proficient in Excel, PowerPoint, and Power BI; building dashboards and reports
Experience with recurring data cycles (monthly allocation, capacity monitoring, supplier tracking)
Master's degree in a quantitative field
Previous experience in data analysis, operations analytics, supply chain, or consulting
Ability to translate data into business insights for senior stakeholders
Detail-oriented, reliable, with strong data discipline
Proactive and collaborative in a multi-brand, matrix organization
Curious and able to learn in a complex operational model
Fluent in Italian and English; French is a plus
Analytical thinking
Communication with senior stakeholders
Collaboration in cross-brand environments
Power BI
Excel
PowerPoint