About the job
About Us
AB InBev stands as the foremost global brewer and ranks among the top five consumer product companies worldwide. With an extensive portfolio of over 500 beer brands, we proudly hold the leading positions in numerous key beer markets across North America, Latin America, Europe, Asia, and Africa.
About the AB InBev Growth Group
Established in 2022, the Growth Group integrates our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By merging global technology and commercial capabilities, the Growth Group empowers us to fully leverage data, drive digital transformation, and foster organic growth for AB InBev globally.
In addition to supporting renowned global beer brands such as Corona, Budweiser, and Michelob Ultra, the Growth Group encompasses a comprehensive suite of digital products, including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and the innovative tabletop beer keg PerfectDraft.
We are a dynamic team dedicated to understanding and meeting consumer and customer needs, harnessing cutting-edge technology, and scaling growth opportunities.
Your Role:
- Conduct root cause analysis on tickets after debugging and resolution.
- Maintain and update data pipelines, ensuring accuracy, consistency, and proper structure for the Vision team.
- Utilize advanced SQL skills to query, validate, clean, and prepare datasets, enhancing data quality and operational processes.
- Support the creation of dashboards and datasets in Power BI, ensuring timely data refreshes and alignment with business requirements.
- Collaborate with the Vision team to ensure data sources are current, structured, and well-documented.
- Adhere to data governance protocols, maintaining clear documentation and contributing to ongoing process improvements.
Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or a related field.
- Proven experience in data modeling and data pipeline management.
- Fluent in English (spoken and written) to communicate insights effectively with international stakeholders.
- Strong SQL proficiency for querying, validating, and preparing data.
- Advanced Excel capabilities, including formulas, structured data handling, validations, and managing large datasets.
- Experience with Power BI, including dataset management, report generation, and data validation.
- A detail-oriented mindset with a strong commitment to data accuracy and integrity.

