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Global Principal Data Analyst

Pubblicato il 13-08-2026 - Avolta in Milano

Avolta is the leading global travel retail and food & beverage player, placing the traveler at the heart of everything we do. By combining travel retail, convenience and F&B;, we create integrated and innovative experiences across the traveler’s journey.
Our 77,000 team members deliver these experiences every day across more than 5,100 outlets in around 1,000 locations, including airports, motorways and other travel destinations, in over 70 countries.
PURPOSE OF THE ROLE
The Global Principal Data Analyst serves as Avolta's strategic analytics lead, transforming complex data into actionable insights that drive commercial performance, business growth, and enterprise value. Partnering with senior leaders across Commercial, Finance, Strategy, Technology, and Data Science, this role shapes Avolta's analytics strategy by identifying strategic opportunities, defining global performance frameworks, and enabling critical business decisions through advanced analytics and data-driven recommendations.




The Principal Data Analyst is accountable for translating data into measurable business outcomes across global markets while advancing analytical best practices and fostering a data-driven culture. As a highly visible individual contributor, the role combines deep analytical expertise with commercial acumen, strategic thinking, and stakeholder influence to drive meaningful impact across Avolta's global operations. The role reports to the Global Strategy Senior Manager and can be based in Madrid, Spain or Milan, Italy.
RESPONSIBILITIES
Data Strategy & Performance Management
- Own and evolve global KPI frameworks, performance measurement standards, and analytical methodologies across regions and business units
- Establish best practices for analytics, reporting, and insight generation across functions and regions
- Promote data quality, governance, consistency, and transparency across key business data assets
- Support the evolution of Avolta's analytics, AI, and decision intelligenc

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