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Analytics Engineer
4 semanas atrás
Analytics Engineer (Mid-level) role at AB InBev. AB InBev is the leading global brewer and one of the world's top 5 consumer product companies, with over 500 beer brands and a strong presence across North America, Latin America, Europe, Asia, and Africa.
About AB InBev Growth GroupCreated in 2022, the Growth Group unifies our B2B, direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group enables data-driven digital transformation and organic growth for AB InBev worldwide. The Growth Group supports brands such as Corona, Budweiser, and Michelob Ultra and includes digital products like BEES, Ze Delivery, TaDa Delivery, and PerfectDraft. We are an exceptional team focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.
Job DescriptionWe are looking for a skilled Analytics Engineer to design, deliver, and maintain high-quality data products that enable self-service analytics and support decision-making. This role involves transforming complex raw data into trusted, tested, and well-documented datasets and semantic models using modern data platforms such as Databricks and Power BI.
Responsibilities- Develop and maintain tested, documented, and code-reviewed datasets and data models.
- Build a robust semantic layer for business users, enabling scalable self-service BI.
- Design and optimize queries and workflows for processing large data sets.
- Collaborate with data analysts, data scientists, engineers, and product managers to understand requirements and deliver insights.
- Build intuitive, high-performing dashboards in Power BI and Databricks.
- Ensure data governance, privacy, and quality standards are met.
- Contribute to CI/CD pipelines for data workflows and maintain reproducibility and version control.
- Create clear documentation for all data solutions and stay updated with best practices.
- Bachelor's degree in Computer Science, Data Science, or related fields.
- Proficient in SQL, Python, PySpark, and SparkSQL. Experience with Azure Databricks and Power BI is highly desirable.
- Solid understanding of data modeling and warehousing concepts.
- Familiarity with version control (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
- Experience delivering ad hoc analyses and building reusable data products.
- Strong analytical thinking, problem-solving, and communication skills.
- Advanced or fluent English language skills.
- Mid-Senior level
- Full-time
- Analyst
- Food and Beverage Services
- Technology, Information and Media
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