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AB InBev

Brews, markets, and distributes beverages globally

Business Intelligence Developer (Focus on Data Modeling) - Focus on Data Modeling

Business IntelligenceConfirmed live in the last 24 hours
Full-timeCampinas - State of São Paulo, BrazilNo salary listedIn-person

About the Job

Requirements

  • Solid experience with Power BI Desktop and Power BI Service, especially managing corporate datasets.
  • Advanced knowledge of DAX, data modeling, performance analysis, and query optimization.
  • Strong experience with dimensional modeling, including star schemas, fact and dimension tables, surrogate keys, and data granularity.
  • Consistent knowledge of SQL and relational databases.
  • Experience administering enterprise-level Power BI environments.
  • Knowledge of governance, security, and BI architecture best practices.
  • Highly analytical and structured approach to solving complex problems.
  • Ability to communicate technical concepts clearly to different audiences.
  • Ability to collaborate with data engineers, architects, analysts, and business stakeholders.
  • Ownership, proactivity, and results focus.
  • Attention to detail and commitment to information quality and reliability.
  • Continuous-improvement mindset and commitment to technical excellence.

Responsibilities

  • Design, develop, and optimize Power BI data models, ensuring efficient relationships, suitable granularity, partitioning, and scalable structures.
  • Create and maintain robust, reusable semantic models for multiple dashboards and business areas.
  • Develop and administer large corporate datasets.
  • Implement governance, versioning, deployment, and workspace-organization best practices.
  • Contribute to the evolution of analytical architecture and Power BI environment best practices.
  • Develop complex DAX measures for advanced calculations, time intelligence, dynamic business rules, and corporate indicators.
  • Implement advanced filtering logic and multi-level calculations.
  • Diagnose and correct issues involving evaluation context, ambiguous relationships, and unsuitable data models.
  • Ensure scalability and performance of implemented business rules.
  • Conduct in-depth performance analysis of models and datasets.
  • Optimize queries, DAX measures, and Calculation Groups strategies.
  • Evaluate Query Folding and identify improvements to transformation processes.
  • Reduce model size by optimizing tables and data structures.
  • Use tools such as Performance Analyzer to investigate bottlenecks and improve user experience.
  • Partner with Data Engineering teams to define suitable data structures before ingestion into Power BI.
  • Support integrations with SQL databases, APIs, SharePoint, Dataverse, Azure services, structured files, and third-party connectors.
  • Validate refresh pipelines, connections, credentials, and Incremental Refresh strategies.
  • Ensure stability and efficiency of data ingestion and transformation flows.
  • Administer security rules using Row-Level Security (RLS).
  • Manage permissions and access to workspaces and datasets.
  • Ensure data reliability, successful refreshes, and compliance with quality standards.
  • Monitor environment usage, capacity, storage, processing costs, and overall dataset health.
  • Support data-governance initiatives and standardization of analytical solutions.
  • Investigate and resolve incidents involving DAX errors and business rules, refresh failures and gateway issues, data-quality inconsistencies, and impacts on reports caused by backend logic.
  • Provide technical support to teams interpreting data structures, metrics, and KPIs.
  • Serve as a technical reference for Power BI architecture and data modeling topics.

Desired Qualifications

  • Experience with Microsoft Fabric, Azure Data Platform, or cloud analytics environments.
  • Knowledge of Tabular Editor, DAX Studio, and performance-monitoring tools.
  • Experience with BI governance and enterprise architecture projects.
  • Microsoft certifications related to Power BI, Data Analytics, or Data Engineering.
  • Experience with CI/CD for analytical solutions.

About the Company

AB InBev

Brews, markets, and distributes beverages globally

AB InBev is a multinational brewer and beverage company with a portfolio of more than 400 beer brands, including Budweiser, Corona, Stella Artois, Leffe and Hoegaarden, plus non-alcoholic drinks. It operates breweries, packaging, and distribution across the Americas, Europe, Africa, and Asia-Pacific, producing and delivering beer and other beverages to markets around the world. Its products are created through large-scale brewing and then packaged, marketed, and distributed through its global network. The company differentiates itself through its extensive brand lineup, geographic reach, and ongoing investments in packaging, digital products, and sustainable brewing practices, including programs for agriculture, water stewardship, energy and emissions reduction, and responsible drinking. AB InBev’s goal is to lead the world’s beer and beverage categories by growing its brands responsibly, expanding distribution, and making its operations more sustainable over time.

Company size
10,001+
Company stage
IPO
Headquarters
Leuven, Belgium
Founded
1952

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