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Mid Level Data Analyst

BEES·LATAM·Campinas, São Paulo, Brazil·mid
sqlllmpower 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 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 stakeholders to answer business questions through data analysis, providing actionable insights that support operational and strategic decisions. Build and maintain Power BI dashboards, semantic models, and reports that enable self-service analytics and business visibility. Use SQL to query, clean, validate, and analyze large datasets while ensuring data accuracy and consistency. Perform exploratory analyses, identify trends, investigate business issues, and support root cause analysis for product and commercial initiatives. Contribute to the definition and maintenance of business KPIs and reporting standards. Apply data visualization best practices to create intuitive, impactful, and user-friendly dashboards. Leverage AI tools (such as LLMs and coding assistants) to improve productivity, accelerate analysis, automate repetitive tasks, and support documentation while validating analytical outputs. Translate analytical findings into clear narratives tailored to both technical and business audiences. Collaborate with international teams to deliver high-quality analytical solutions under tight timelines. What you'll need Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline. Strong SQL skills for querying and preparing analytical datasets. Strong Power BI knowledge, including DAX, data modelin

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