Kering Category Platform Data Analyst

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8dw55z

Overview
As Category Platform Data Analyst, you support Leather Goods, RTW, Shoes, and related platforms by delivering reliable data, analyses, and clear performance insights. You work with platform leadership and PMO to shape data-driven discussions on capacity, volume allocation, and supplier performance. This analytical, support-focused role does not own procurement decisions, but informs governance with robust data and scenarios. You contribute to standardizing indicators and improving data quality, enabling informed cross-brand decisions. This is an opportunity to influence platform transformation within a leading luxury group.
Retribuzione / Benefits
premio opportunity
canteen
welfare
national collective labour agreement benefits
Responsabilità
Collect and harmonize data inputs across Brands including volume requirements and capacity
Ensure data accuracy and transparency across Brands and Categories
Analyze allocation and capacity utilization, identifying risks and deviations
Report capacity deviations to the Mutualized Production Assets Lead
Provide analytical views and scenario simulations for platform discussions
Analyze supplier performance KPIs to support monitoring over time




Develop and maintain dashboards and KPI reporting using Power BI and 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
Requisiti fondamentali
Strong analytical mindset with ability to structure and synthesize complex data
Proficient in Excel, PowerPoint, and Power BI
Experience with recurring data cycles (monthly allocation, capacity monitoring, supplier tracking)
Master's degree in a quantitative field
3–5 years in data analysis, operations analytics, supply chain, consulting, or similar
Ability to translate data into business insights for senior stakeholders
Detail-oriented, reliable, and data-disciplined
Proactive and collaborative in a multi-brand, matrix organization
Curious and eager to learn in a complex operational model
Fluent in Italian and English; French is a plus
analytical thinking
team collaboration
clear communication
Power BI
Excel
PowerPoint

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8dw55z