3 часа назад
Global Principal Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Principal Data Analyst (SQL/Python): Establishing global KPI frameworks and transforming complex, multi-source data into recommendations that drive commercial performance, business growth, and enterprise value with an accent on strategic analytics, data governance, and executive decision support. Focus on designing performance measurement standards, leading complex analytical projects, and advancing analytics, AI, and decision intelligence capabilities across global markets.
Location: Based in Madrid, Spain or Milan, Italy
Company
is a global travel retail and food-and-beverage company operating 5,500 outlets in more than 75 countries across airports, motorways, cruise lines, seaports, and railway stations.
What you will do
- Own and evolve global KPI frameworks, performance measurement standards, and analytical methodologies across regions and business units.
- Shape the analytics agenda for strategic and commercial priorities, identifying growth opportunities, performance improvements, and business risks.
- Deliver data-driven recommendations for commercial strategy, investment decisions, and operational priorities.
- Lead complex analytical projects and translate findings into clear business actions.
- Partner with Commercial, Finance, Strategy, BI, Data Science, Product, and Technology teams to prioritize high-impact initiatives.
- Mentor analysts, promote analytical best practices, and advance a data-driven culture.
Requirements
- 8+ years of experience in analytics, business intelligence, data science, commercial strategy, consulting, revenue management, or a related field.
- Bachelor’s or Master’s degree in a quantitative discipline such as data science, analytics, statistics, mathematics, economics, computer science, engineering, business analytics, or finance.
- Advanced SQL skills and strong proficiency in Python.
- Experience with modern analytics ecosystems such as Databricks, Snowflake, Azure, AWS, or Google Cloud.
- Knowledge of statistical analysis, experimentation, predictive analytics, and machine learning concepts, with experience handling large, complex, multi-source datasets.
- Advanced dashboarding, data visualization, executive communication, storytelling, stakeholder management, and cross-functional leadership skills. Fluent English required.
Nice to have
- Experience in retail, consumer goods, e-commerce, travel retail, hospitality, or similarly data-rich environments.
Culture & Benefits
- Work across a geographically diverse global business operating in more than 75 countries.
- Collaborate with senior leaders and cross-functional teams across Commercial, Finance, Strategy, Technology, and Data Science.
- Contribute to continuous improvement, evidence-based decision-making, and enterprise-wide analytical standards.
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