KERING Category Platform Data Analyst
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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
- bonus 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
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