About AB InBev
AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.
About ABI Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
What you'll do
- Partner with Product, Commercial, and Business stakeholders to solve complex business challenges through data, transforming ambiguous questions into structured analytical approaches and actionable recommendations.
- Design, define, and maintain business KPIs, ensuring metric consistency, data quality, and alignment across teams and regions.
- Analyze large datasets using SQL and Python to identify trends, diagnose business issues, evaluate opportunities, and support strategic decision-making.
- Design and maintain scalable analytical solutions, including semantic models, Power BI dashboards, and self-service reporting that enable informed business decisions.
- Lead deep-dive investigations, root cause analyses, and impact assessments for product launches, commercial initiatives, and operational performance.
- Design and evaluate experiments, measure business impact, and provide data-driven recommendations based on statistical evidence.
- Leverage AI tools (such as LLMs, code assistants, and AI-powered analytics solutions) to accelerate data exploration, automate repetitive analyses, improve documentation, and enhance productivity while ensuring analytical accuracy.
- Transform analytical findings into compelling stories that clearly communicate business impact and influence decisions across technical and executive audiences.
- Partner closely with Data Engineering to improve data quality, validate data pipelines, and ensure reliable reporting foundations.
- Mentor analysts through technical guidance, analytical problem solving, code reviews, and stakeholder communication.
- Collaborate with global teams, driving alignment, standardization, and knowledge sharing across regions.
What you'll need
- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline.
- Expert SQL skills, including complex joins, CTEs, window functions, query optimization, and large-scale analytical transformations.
- Advanced Power BI knowledge, including semantic modeling, DAX, visualization design, and performance optimization.
- Strong Python skills for data analysis, statistical modeling, and automation.
- Experience working with large analytical datasets and translating business questions into scalable analytical solutions.
- Solid understanding of statistics, experimentation, and hypothesis-driven analysis.
- Experience applying AI tools to improve analytical workflows, coding productivity, documentation, or insight generation.
- Strong understanding of data visualization best practices and user-centered dashboard design.
- Excellent storytelling skills with the ability to translate complex analyses into clear business recommendations.
- Advanced English communication skills.
More about you
- You enjoy solving ambiguous business problems instead of simply answering predefined requests.
- You're naturally curious and continuously look for opportunities to improve products, processes, and business performance.
- You balance technical excellence with business acumen and understand how analytics influences strategic decisions.
- You're comfortable challenging assumptions through data and influencing stakeholders at different organizational levels.
- You proactively leverage emerging technologies, including AI, to work smarter while maintaining high analytical standards.
- You enjoy mentoring others and helping raise the technical bar across the team.
What We Offer
- 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
Equal Opportunity & Affirmative Action
AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
The following fields are optional, but anticipate the information for your registration*.
Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group can analyze diversity and reduce bias in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: [www.abinbev.com](https://www.abinbev.com)
Skills Required
- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or quantitative discipline
- Expert SQL skills including complex joins, CTEs, window functions, and query optimization
- Advanced Power BI knowledge including semantic modeling, DAX, visualization design, and performance optimization
- Strong Python skills for data analysis, statistical modeling, and automation
- Experience working with large analytical datasets and building scalable analytical solutions
- Solid understanding of statistics, experimentation, and hypothesis-driven analysis
- Experience applying AI tools (LLMs, code assistants, AI analytics) to improve analytical workflows
- Strong understanding of data visualization best practices and user-centered dashboard design
- Excellent storytelling and communication skills to present analyses to technical and executive audiences
- Advanced English communication skills
What We Do
We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol. Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).
