Mid Level Data Analyst

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AB InBev

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

🛍️ eCommerce

B2C • eCommerce • Food & Beverage

AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.

📋 Description

• 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.

🎯 Requirements

• 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. • 2–4 years in data analytics with a track record of delivering KPIs and dashboards in cross-functional environments. • Advanced English (spoken and written) for global collaboration.

🏖️ Benefits

• 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