Business Intelligence Developer

• Design and optimize complex data models using Power BI and Analysis Services (SSAS / Azure Analysis Services), ensuring scalability and high performance;
• Ensure data governance and security within BI tools through advanced, structured implementation of Row-Level Security (RLS) rules;
• Build and optimize efficient data pipelines using ETL and ELT approaches to ensure data quality, flow, and consistency;
• Share technical knowledge, data architecture standards, and development best practices (such as DAX optimization and modeling best practices) with related teams;
• Work within the Microsoft Fabric ecosystem (OneLake, Data Factory, Synapse), supporting the evolution and modernization of the company’s data platform;
• Perform reverse engineering and continuous improvement on legacy BI solutions, focusing on efficiency gains, SQL query tuning, and reduced processing time;
• Collaborate actively with data engineers and business teams to understand complex requirements and enable smooth data integration between systems.

Senior BI Data Analyst

• Define the testing strategy for validating dashboards and indicators
• Develop test scenarios covering indicators, filters, dimensions, business rules, access profiles, and dashboard behaviors
• Execute validations between legacy reports and migrated dashboards, ensuring consistency of information
• Create and maintain comparative queries to identify and analyze discrepancies
• Investigate data inconsistencies together with the involved technical teams
• Validate filters, drill-down functionality, data access security rules (Row-Level Security), and masking of sensitive information when applicable
• Record test results, evidence, discovered discrepancies, and acceptance criteria
• Support the homologation and validation phases of deliveries
• Track defect fixes, perform regression testing, and support delivery approval
• Contribute to documentation of processes, test scenarios, and quality evidence.

Senior QA Analyst – BI & Data

• Desenvolver e manter dashboards e relatórios em Power BI;
• Atuar como focal point junto ao cliente, entendendo necessidades e propondo soluções analíticas;
• Traduzir necessidades do negócio em indicadores e análises relevantes;
• Interpretar dados, identificar tendências, anomalias e oportunidades de melhoria;
• Gerar insights acionáveis com base nos dados, apoiando decisões estratégicas e operacionais;
• Monitorar qualidade, consistência e plausibilidade das informações;
• Apoiar na definição de métricas, KPIs e análises gerenciais;
• Trabalhar em conjunto com times de negócio, tecnologia e operação;
• Aprofundar-se nos processos e regras dos programas (PSP/DSP) e sistemas (ex: Salesforce) para correta leitura dos dados.

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Senior BI Data Analyst

Senior QA Analyst – BI & Data

Analista de BI Pleno