As of November 7, 2026, Jobsy lists 5 bi analyst jobs in Canada. The most active employers are CAE Canada Inc, Canadian Tire Corporation, Limited and CGI. Skills often requested: reporting, sql, data engineering and decision making.
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Candidates need solid experience in business analysis and data work, with the ability to work independently on analysis, documentation and validation. CGI looks for someone who can collaborate effectively with delivery teams.
6+ YOECandidates need 6+ years in BI analytics, data engineering or analytics engineering, ideally in a B2C or subscription business. They need advanced SQL, hands-on experience with dbt, Databricks, Spark SQL and Airflow, dimensional modeling skills, and dashboard-building experience in Tableau or similar tools.
Canadian Tire Corporation, Limited: In addition, CTC owns and operates Helly Hansen, a leading technical outdoor brand based in Oslo, Norway.
3+ YOECandidates need a quantitative bachelor's degree and 3+ years in analytics or business intelligence. They need strong SQL, Power BI and DAX skills, dimensional modeling knowledge, Python or PySpark experience, and hands-on Databricks experience.
Power BI, Databricks, Azure Synapse Analytics, Microsoft Fabric, SQL, Python
2+ YOECandidates need two to four years of business intelligence or data analyst experience, with strong Power BI and SQL skills and experience with Microsoft Fabric. Post-secondary education in a related field is preferred, along with clear communication skills for non-technical audiences.
Power BI, Microsoft Fabric, Power Automate, Power Apps, Autodesk Construction Cloud, BambooHR
2+ YOECandidates need a bachelor's degree in a related field and 2 to 4 years of business intelligence and data analysis experience. CAE requires advanced SQL, Power BI or Tableau experience, data modeling and ETL skills, and fluency in English and French.
CAE Canada Inc (1), Canadian Tire Corporation, Limited (1), CGI (1), HelloFresh (1) and PACT (1).
What skills do bi analyst jobs ask for?
Postings most often mention reporting, sql, data engineering, decision making, communication skills, stakeholder management, data models and microsoft power bi.