We are looking for a BI & Data Analyst to join a growing engineering organization in Vaughan, Ontario. In this permanent role, you will turn complex operational and financial data into meaningful insights that support business decisions across the company. The position is ideal for someone who combines strong technical expertise in modern data platforms with the ability to partner closely with stakeholders and improve reporting quality at scale.

Responsibilities:

• Design and maintain business intelligence solutions that deliver accurate reporting, interactive dashboards, and actionable analysis for finance and operations teams.

• Build and optimize data models using dimensional design principles to bring together information from Dynamics 365 and other business systems.

• Develop advanced Power BI reporting assets, including high-performing measures and visualizations that support executive and departmental decision-making.

• Manage data architecture within Microsoft Fabric and Azure Data Lake to support scalable storage, transformation, and analytics workflows.

• Establish and uphold data governance practices by improving data quality, defining standards, and addressing legacy data issues across key datasets.

• Translate business needs into technical specifications by working with stakeholders to understand reporting objectives, process requirements, and analytical priorities.

• Lead data conversion and integration activities required to support major system implementation and go-live milestones.

• Explore and apply AI-enabled capabilities within the reporting environment to enhance insight generation and user experience.

• Demonstrated expertise with the Dynamics 365 ecosystem, including finance and operations-related modules used to support business processes.
• Strong hands-on experience with Microsoft Fabric and Azure Data Lake in modern enterprise data environments.
• Advanced capability in Power BI development, including dashboard creation, DAX optimization, and reporting performance improvement.
• Solid understanding of data warehousing concepts and star schema modelling for enterprise analytics solutions.
• Proven experience implementing data governance and master data management practices to improve consistency and reliability.
• Ability to interpret complex business challenges and convert them into clear technical and reporting requirements.
• Experience with business intelligence and data integration tools such as Cognos, BusinessObjects, or Informatica is considered an asset.
• Familiarity with AI-driven analytics features and emerging Microsoft data platform capabilities is preferred.

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