Kering Category Platform Data Analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78st9w

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.

Benefits

Starting gross yearly compensation around €30,000

Annual premio opportunity

Company canteen

Welfare initiatives

Other benefits per local policies

National Collective Labour Agreement

Responsibilities and Qualifications

Collect and consolidate Brand data inputs including volume requirements and capacity information

Ensure data accuracy, consistency, and transparency across Brands and Categories

Analyze volume allocation and capacity utilization to identify risks and bottlenecks

Report capacity deviations to the Mutualized Production Assets Lead and support decision-making

Develop analytical views and scenario simulations for platform discussions





Analyze supplier performance data to support monitoring and tracking

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 across Platforms

Support continuous improvement to enhance data quality and analytical effectiveness

Strong analytical mindset with the ability to structure and synthesize complex data

Proficient in Microsoft Excel, PowerPoint, and Power BI; able to build dashboards and reports

Experience with recurring data cycles (monthly allocation, capacity monitoring, supplier tracking)

Master's degree in Engineering, Economics, Supply Chain, Operations, Statistics, or related quantitative field

Experience in data analysis, operations analytics, supply chain, or consulting

Ability to translate data into clear business insights for senior stakeholders

Detail-oriented, structured, reliable, with strong data discipline

Proactive and collaborative in a multi-brand, matrix organization

Fluent in Italian and English; French is a plus

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78st9w