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 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.

About the Role:
We are looking for a Senior Data Analyst to join the BEES Fintech Data Analytics team. This role sits at the intersection of Business Intelligence, Advanced Analytics, and Analytics Engineering, transforming complex data into actionable insights that drive strategic decisions across Credit, Payments and Product teams.

The ideal candidate is not only able to build reports and dashboards but also understands statistical methods, experimental design, data modeling, and modern data platform concepts. This person acts as a trusted business partner, helping stakeholders identify opportunities, validate hypotheses, and make data-driven decisions.

What you'll do:
Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python.
Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions.
Transform data into actionable insights that support strategic business decisions.
Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.
Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
Partner with Product, Commerc

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