Global Data Analyst
Pubblicato il 04-09-2026 - 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.
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.
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 intelligence capabilities
Strategic Analytics & Business Impact
Shape and drive the analytics agenda supporting Avolta’s key strategic and commercial priorities
Partner with senior leadership to identify growth opportunities, performance improvement initiatives, and business risks
Deliver data-driven recommendations that influence commercial strategy, investment decisions, and operational priorities
Lead complex analytical projects and translate findings into clear business actions.
Cross-Functional Collaboration
Partner with Commercial, Finance, Strategy, BI, Data Science, Product, and Technology teams to deliver high-impact business outcomes
Bridge technical and business teams, ensuring analytical solutions address strategic business needs
Prioritize analytics initiatives based on business value, scalability, and organizational impact
Act as a recognized subject matter expert in analytics, performance optimization, and data-driven decision-making
Drive a culture of curiosity, continuous improvement, and evidence-based decision making
8+ years’ experience in Analytics, Business Intelligence, Data Science, Commercial Strategy, Consulting, Revenue Management, or related fields
~ Bachelor’s or Master’s degree in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business Analytics, Finance, or a related quantitative discipline
~ Demonstrated ability to influence strategic business decisions through data and analytics
~ Strong commercial understanding of revenue, profitability, pricing, forecasting, customer, or operational performance drivers
~ Advanced SQL skills and strong proficiency in Python
~ Experience with modern analytics ecosystems (e.g. Databricks, Snowflake, Azure, AWS, Google Cloud)
~ Knowledge of statistical analysis, experimentation, predictive analytics, and machine learning concepts
~ Experience working with large, complex, and multi-source datasets
~ Advanced dashboarding and data visualization skills (Power BI, Tableau, Looker, or similar)
~ Strategic thinker with strong commercial acumen and analytical depth
~ Experience within retail, consumer goods, e-commerce, travel retail, hospitality, or similarly data-rich environments preferred
~ Fluent in English