
Senior Analytics Engineer – Power BI, Microsoft Fabric
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in Brazil.
• Design, maintain, and improve dashboards and reports utilizing Power BI.
• Create and enhance data models, measures, and semantic layers specifically for Marketing analytics.
• Organize backend data from integration and transformation to ensure availability for business use.
• Develop and refine data transformation pipelines and associated processes.
• Utilize SQL for data extraction, manipulation, querying, and analysis tasks.
• Define and implement KPIs, business indicators, and metrics that align with organizational goals.
• Convert business requirements into scalable and effective analytics solutions.
• Ensure the quality, consistency, reliability, and integrity of data and information.
• Collaborate with the Data Engineering team and other departments on analytics projects.
• Adhere to the Digital Hub’s architecture, governance, security, and best practice standards.
• Identify and leverage opportunities to enhance and optimize current analytics solutions.
• Extensive experience with Power BI, including dashboard and report creation, DAX, and Power Query.
• Proficient SQL skills.
• Experience in data modeling and the development of semantic models.
• Familiarity with data engineering processes, such as ETL/ELT, pipelines, and transformations.
• Proven experience in defining and implementing KPIs and business metrics.
• Capability to manage the entire development process of analytics solutions.
• Experience with Microsoft Fabric, particularly in production environments (preferred).
• Familiarity with cloud data platforms (preferred).
• Understanding of data governance practices related to BI, including access control, documentation, and version control (preferred).
• Knowledge of Python for data transformation and processing (preferred).
• Experience with Git and version control for analytical artifacts (preferred).
• Possession of Microsoft certifications such as PL-300, DP-600, or DP-700 (preferred).
• Background in corporate environments with centralized data governance structures and formal architecture standards (preferred).
• Comprehensive health and wellness programs.
• Opportunities for professional development and training.
• Flexible work hours and remote work options.
• Collaborative and innovative work environment.
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