Global Procurement Packaging Analyst
Pubblicato il 15-10-2026 - Altro in Italia
Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas. Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people. Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry.
Overall Context Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas. Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people.
Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001.
Role/Mission/Objectives As a member of the Global Product Related Procurement team, and with a direct reporting line into the Global Procurement Other Packaging Category Manager, the Global Procurement Packaging Analyst will help make operational processes simpler, smarter and more effective through processes data analysis, digitalization and automation. The Analyst will support strategic and operational procurement activities, transform data into actionable insights and contribute to continuous process improvement across the Other Packaging categories, working closely with regional and global teams.
Key Responsibilities And Activities Support the review and improvement of Other Packaging procurement processes, identifying opportunities for simplification, standardization and automation
Support in performing data analysis t