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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 AB InBev 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.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

• Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making.
• Use SQL and/or Python to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting.
• Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders.
• Apply best practices in data visualization and user‑centric design to deliver impactful, intuitive, and actionable dashboards and reports.
• Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions.
• Partner with cross‑functional stakeholders to deliver high‑quality, actionable insights under tight deadlines with a proactive and solution‑oriented mindset.

• BA/BS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field.
• SQL: advanced querying and data preparation skills.
• ETL/Analytics Engineering: advanced knowledge and ability to draw complex data models for analysis.
• Power BI: advanced storytelling/UI and ability to design reports based on product requirements.
• Python: basic experience using Python for statistical analyses and database modeling.
• Advanced English (spoken and written) to effectively communicate insights with international stakeholders.
• Excellent communication and presentation skills, with the ability to tailor messaging for both technical and non‑technical audiences.

• Exposure to Generative AI concepts (e.g., LLMs, prompt engineering, AI‑assisted analytics), even at a conceptual or academic level.
• Academic background or coursework related to AI, machine learning, or data science.
• Experience working in analytics engineering, data analytics, or hybrid roles that sit between data engineering and BI.
• GIT: basic knowledge in git process for CI/CD and basic experience with Power BI Project format.
• Databricks hands‑on experience creating pipelines and notebooks.

• Strong skills in crafting clear data narratives that connect insights to business strategy.
• Deep understanding of data visualization best practices, design principles, and user‑centric dashboard development.
• Ability to translate complex datasets into insightful, visually compelling, and actionable reports.
• Organized and detail‑oriented, with the ability to deliver high‑quality work under tight timelines.
• Proactive, solution‑oriented mindset with strong collaboration skills to operate effectively across cross‑functional teams.

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

AB InBev Growth Group is proud to be an Equal Opportunity and Affinite Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also allow the application of equal opportunity laws for all legal entities. We ask for demographic information to analyze and reduce bias in our recruitment process, but this data will not be used in decisions.