Senior Data Analyst

About us

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 BEES

At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.

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.

*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.

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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