Mid Level Data Analyst

Mid Level Data Analyst

Remote, Brazil

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.

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.

What You'll Do

• Develop and maintain dashboards, KPIs, and analytical deliverables with end-to-end accountability for data accuracy, metric definitions, and stakeholder usability.
• Use SQL and Power BI to query, model, and visualize data — building reliable reports that support business decision-making.
• Collaborate with commercial, product, and Data Engineering teams to translate requirements into clear, actionable analytics.
• Monitor data quality, flag inconsistencies early, and support corrective actions with engineering partners.
• Contribute to metric standardization and documentation — helping ensure consistent definitions across reports and tools.
• Work in Git-based workflows (branches, pull requests) for SQL and BI assets, following team standards for versioned analytics delivery.
• Support team initiatives such as centralized KPI layers, structured self-service, and the migration toward more robust analytics operations — including CI/CD for BI where applicable.
• Deliver ad hoc analyses with limited supervision, connecting insights to business questions and recommending next steps.

What You'll Need

• BA/BS in Math, Statistics, Economics, Engineering, Computer Science, or related quantitative field.
• Advanced SQL for querying, transformation, and analytical modeling.
• Advanced Power BI — data modeling, DAX, and dashboard design.
• Basic Python and PySpark — able to read and interpret scripts; complex pipeline work done with Data Engineering support.
• Intermediate Statistics — sound metric interpretation and support for data-driven decisions.
• Experience with Git and collaborative development workflows.
• Relevant years of experience in data analytics with a track record of delivering KPIs and dashboards in cross-functional environments.
• Advanced English (spoken and written) for global collaboration.

More About You

• Detail-oriented — validates numbers, edge cases, and business rules before releasing deliverables.
• Proactive and solution-oriented — suggests improvements, not only executes requests.
• Clear communicator — explains analytical results to technical and non-technical audiences.
• Collaborative — works well with Data Engineering and business stakeholders.
• Fast learner — comfortable ramping up in complex domains and evolving team practices.
• Quality-minded — sees reliable metrics and maintainable data products as core to the role.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative 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.