Sr. Business Intelligence Analyst

Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru). The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
SQLTableauData modeling

Requirements

  • 5+ years in business intelligence, analytics, or a related field
  • Strong SQL
  • Experience with BI tools (Tableau preferred)
  • Experience with data modeling
  • Experience with data warehousing
  • Experience with ELT processes
  • Familiarity with AI tools (e.g., Claude or similar) and interest in applying them to analytics workflows
  • Ability to translate complex data (including AI-generated outputs) into clear business insights
  • Experience working with cross-functional stakeholders in a fast-paced environment
  • Strong understanding of data governance and the importance of trusted, consistent definitions

Responsibilities

  • Leverage AI tools and Insights Agents (e.g., Claude) to automate foundational analysis, uncover patterns in complex datasets, and accelerate time-to-insight
  • Translate AI-generated outputs into clear, trusted business recommendations
  • Conduct deep analysis of large, complex datasets to support high-impact initiatives
  • Move beyond descriptive reporting to identify drivers, trends, and opportunities across the business
  • Design and maintain scalable data models and contribute to a centralized semantic layer
  • Design and optimize dashboards in Tableau and other BI tools, with a focus on executive-level insights
  • Partner with business teams to integrate AI capabilities into analytics workflows
  • Partner with stakeholders to define analytical approaches, balancing traditional BI methods with AI-enabled workflows
  • Support the development and adoption of a centralized data dictionary
  • Upskill analysts and business users on both traditional BI and emerging AI-enabled analytics capabilities
  • Continuously identify opportunities to replace manual analysis with automated, AI-assisted workflows
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