We are looking for an experienced Business Intelligence (BI) Consultant to join our team on a contract basis in Toronto, Ontario. In this role, you will support the development of a corporate Power BI dashboard, integrating data from multiple systems to provide real-time organizational insights. This position offers an excellent opportunity to contribute to meaningful projects within the non-profit sector.<br><br>Responsibilities:<br>• Design and implement data pipelines to merge information from various sources into a Microsoft Fabric-based data warehouse.<br>• Evaluate source systems to identify necessary data, perform transformations, and load data into properly structured warehouse tables.<br>• Develop efficient data models, cubes, and views optimized for Power BI performance.<br>• Build and configure Power BI dashboards based on predefined elements, layouts, and visualization requirements.<br>• Ensure all components, from data ingestion to visualization, are scalable, accurate, and perform effectively.<br>• Collaborate with stakeholders to understand data requirements and deliver tailored solutions.<br>• Troubleshoot and resolve issues related to data integration and dashboard functionality.<br>• Maintain documentation for data architecture, pipelines, and dashboard configurations.<br>• Identify opportunities for process improvements within data and reporting workflows.<br>• Stay updated on industry trends and best practices in business intelligence and data visualization.

• Proven experience in designing and building data pipelines for complex data integration.<br>• Expertise in Microsoft Fabric and Power BI development, including data modelling and visualization.<br>• Strong knowledge of business intelligence technologies such as Cognos, BusinessObjects, and Atlassian Jira.<br>• Ability to perform data transformations and create optimized data models.<br>• Proficiency in using Maps API and other tools for advanced data visualization.<br>• Familiarity with data warehousing principles and architecture standards.<br>• Demonstrated ability to work independently and adapt quickly to new data environments.<br>• Excellent problem-solving skills and attention to detail in ensuring data accuracy.

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