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Senior People Data Analyst

AB InBev | Growth Group·LATAM·Campinas, Brazil·senior
pythonsqlpower bi
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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. This role sits in People and combines financial acumen, transformation, data analytics, and strategic management to improve business and people outcomes—with clear metrics and accountability. You partner with business and People leaders on operating models, workforce change, and adoption. Most initiatives cross systems, data, and AI; you bring high-level technology literacy and work closely with IT, Data, and product partners so change stays feasible, secure, and scalable. What you'll do: Design, model, and maintain end-to-end People Analytics solutions in Power BI , including workforce data modeling, DAX calculations, report development, and interactive dashboards that support strategic talent and business decisions. Use SQL and Python to query, cleanse, integrate, and analyze employee and organizational datasets, ensuring data quality, consistency, and reliability across reporting and analytics

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