
10 000+ employés
🏨 Hôtellerie
📣 Marketing
✈️ Tourisme
Hospitality • Marketing • Travel
AB InBev est une entreprise brassicole mondiale reconnue pour son vaste portefeuille de plus de 500 marques de bière, incluant des noms iconiques mondiaux et locaux. Engagée en faveur de la durabilité et de la consommation responsable, l'entreprise possède un héritage de plus de 600 ans. AB InBev cherche continuellement l'innovation dans le brassage et vise à célébrer la bière comme une boisson de modération.
🕒 il y a 1 mois
🗣️🇺🇸🇬🇧 Anglais requis
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10 000+ employés
🏨 Hôtellerie
📣 Marketing
✈️ Tourisme
Hospitality • Marketing • Travel
AB InBev est une entreprise brassicole mondiale reconnue pour son vaste portefeuille de plus de 500 marques de bière, incluant des noms iconiques mondiaux et locaux. Engagée en faveur de la durabilité et de la consommation responsable, l'entreprise possède un héritage de plus de 600 ans. AB InBev cherche continuellement l'innovation dans le brassage et vise à célébrer la bière comme une boisson de modération.
• Partner with stakeholders to answer business questions through data analysis, providing actionable insights that support operational and strategic decisions. • Build and maintain Power BI dashboards, semantic models, and reports that enable self-service analytics and business visibility. • Use SQL to query, clean, validate, and analyze large datasets while ensuring data accuracy and consistency. • Perform exploratory analyses, identify trends, investigate business issues, and support root cause analysis for product and commercial initiatives. • Contribute to the definition and maintenance of business KPIs and reporting standards. • Apply data visualization best practices to create intuitive, impactful, and user-friendly dashboards. • Leverage AI tools such as LLMs and coding assistants to improve productivity, accelerate analysis, automate repetitive tasks, and support documentation while validating analytical outputs. • Translate analytical findings into clear narratives tailored to technical and business audiences. • Collaborate with international teams to deliver high-quality analytical solutions under tight timelines.
• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline. • Strong SQL skills for querying and preparing analytical datasets. • Strong Power BI knowledge, including DAX, data modeling, and dashboard development. • Knowledge of statistics and analytical methodologies. • Experience using Python for data analysis is a plus. • Familiarity with AI-powered productivity tools and willingness to incorporate them into daily analytical work. • Understanding of data visualization principles and storytelling techniques. • Intermediate English communication skills. • Strong attention to detail and commitment to analytical quality. • Curiosity and interest in understanding how the business works. • Problem-solving and investigation of the reasons behind numerical results. • Proactive, collaborative approach and comfort working with cross-functional teams. • Eagerness to learn new technologies, including AI, and continuously improve analytical skills. • Ability to communicate insights clearly and adapt messages to different audiences. • Ownership of work and consistent delivery of high-quality analyses.
• Performance based bonus* • Attendance Bonus* • Private pension plan • Meal Allowance • Casual office and dress code • Days off* • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • Scholarship* • School materials assurance • Language and training platforms • Transport allowance • *Rules applied
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