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Intermediate Data Analyst

AB InBev | Growth Group·Worldwide·São Paulo, SP·mid
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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. About the role A Intermediate Data Analyst is responsible for turning data into information, information into insights, and insights into business decisions. As part of this role, you will work closely with our product groups and you will be a significant part in the decision-making while proactively guiding our business growth, based on data analyses and statistical research. You will work independently and as a team member on the most interesting and innovative analyses available while reinventing eCommerce in the food, beverage & retail industry. This is a unique opportunity to join our analytical team. Come and make an IMPACT What you'll do: Turn data into actionable insights that support strategic business decisions for our Retail Media team. Develop and maintain dashboards and reports using Power BI to monitor business performance. Extract, transform, and analyze data using SQL and Python .

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