KERING Category Platform Data Analyst

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: 30 000 per year

Annual bonus 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