KERING Data Analyst

Kering

Kering, a global luxury group, encompasses iconic brands in fashion and jewelry, including Gucci and Saint Laurent. By placing creativity at its core, Kering drives sustainable and responsible luxury. In 2023, Kering employed 49,000 people and achieved 19.6 billion euros in revenue. The Data Intelligence team within Kering Digital supports the group's objectives by developing expertise in business intelligence, data analysis, and artificial intelligence.

In this role you can expect to have the responsibilities:

• Build strong relationships with stakeholders to understand their needs
• Identify and cleanse relevant data for specific analytical goals
• Analyze large data sets to provide actionable business insights
• Create impactful visualizations to convey messages effectively
• Provide cross-brand benchmarks to identify opportunities for different brands
• Be part of the Data Intelligence team, leveraging its resources and tools

This role comes with the following benefits:

• Opportunity to collaborate closely with data science and analytics teams
• Enriching learning environment with extensive learning opportunities

This role requires you to have:

• Degree in Data Science, business analysis, or another analytical domain
• Good analytical skills to identify opportunities and performance levers
• Ability to synthesize data to produce actionable insights
• Business acumen and a results-oriented mindset
• Proficiency in Python and SQL, knowledge of data exploration tools
• Proficiency with Excel and PowerPoint
• Excellent communication skills, both written and verbal
• Fluency in English

You would benefit from having:

• Knowledge of data visualization solutions like Tableau or PowerBI
• Fluency in Italian
• Team player mindset

Kering is committed to diversity and inclusion, providing equal employment opportunities regardless of background. They believe diversity enhances the workplace by allowing individuals to express their talents and fostering adaptability to a changing world.