As of November 6, 2026, Jobsy lists 133 data analyst jobs in Canada. The median advertised pay is $50.97 an hour (from 19 postings). The most active employers are Randstad Canada, Konrad and Connor, Clark & Lunn Financial Group Ltd.. Skills often requested: sql, data analysis, reporting and microsoft power bi.
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Candidates need senior experience with SAP master data, including S/4HANA Business Partner and ECC, and with supplier data integration through IDocs and APIs. Experience with Jaggaer Supplier Lifecycle Management is expected, along with the ability to advise senior leadership.
2+ YOECandidates need a university degree in business, commerce, computer science or a related field, plus at least 2 years of operational data analysis experience. Strong skills in Excel, SQL, Tableau and statistical analysis are required.
Tableau Desktop, Tableau Prep, Tableau Server, SAP, PeopleSoft, Microsoft Excel
2+ YOECandidates need a university degree in business, commerce, computer science or a related field, plus at least 2 years of operational data analysis experience. Strong skills in Excel, SQL and Tableau, and a valid Class 5 licence are recommended.
5+ YOECandidates need a bachelor's degree in computer science, health informatics or equivalent and at least 5 years of data analysis experience, ideally in health care. Advanced SQL, Snowflake or cloud data platform experience, and the ability to explain complex analyses to senior leaders are required.
10+ YOECandidates need at least 10 years in SAP master data, including 5 years managing supplier master data in ECC and S/4HANA and at least one full supplier conversion to Business Partner/CVI. They need advanced SQL, knowledge of integration and EDI dependencies, and fluent professional English, and must work remotely from Quebec or Ontario.
SAP ECC, SAP S/4HANA, Jaggaer SLM, SQL, SAP IDocs, Collibra
Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.
2+ YOECandidates need at least 2 years of data analysis, reporting, sales support or administrative experience and strong Excel skills, including lookup functions and pivot tables. They must be detail-oriented, communicate well in writing and speech, and work full-time on-site in Brantford.
7+ YOECandidates need a bachelor's degree in a relevant field and at least 7 years of business intelligence and data management experience. Fluency in French and English, ERP experience such as SAP, and manufacturing experience are an asset.
Teranet Inc: - 2021 Canadian Mortgage Awards Industry Service Provider of the Year
2+ YOETeranet needs candidates with a bachelor's degree or equivalent experience and at least 2 years in data analysis or data operations. Strong SQL, Excel and Access skills, attention to detail, and clear communication are required; Python and Tableau are an asset.
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 post-secondary education in statistics, mathematics, computer science or data analytics, and 3 to 5 years of data analytics or audit experience. Strong hands-on skills in Python, SQL, Excel and Power BI are required, plus clear communication and knowledge of audit and internal controls.
Python, SQL, Excel, Power BI, Power Automate, KNIME
University of Waterloo: In a complex and rapidly evolving world, WatSPEED at the University of Waterloo is professional education that’s designed to be different.
3+ YOECandidates need a bachelor's degree in mathematics, computer science, statistics or equivalent, plus 3 or more years of data analytics and statistical analysis experience. Strong Excel, database query and communication skills are required, and experience with a student information system is an asset.
Power BI, Excel, Quest, PeopleSoft, Infosilem, Data Lake
University of Waterloo: In a complex and rapidly evolving world, WatSPEED at the University of Waterloo is professional education that’s designed to be different.
3+ YOECandidates need a bachelor's degree in mathematics, computer science, statistics or equivalent, plus 3 or more years of data analytics and statistical analysis experience. Strong Excel, database query and communication skills are required, and experience with a student information system is an asset.
Power BI, Excel, Quest, PeopleSoft, Infosilem, Data Lake
10+ YOECandidates need at least 10 years in SAP master data and 5 years in supplier master data across SAP ECC and S/4HANA, including one full conversion to Business Partner/CVI through cutover. Strong SQL, integration experience (IDocs, APIs, middleware) and professional English are required.
SAP S/4HANA, SAP ECC, Jaggaer SLM, SQL, SAP IDocs, Collibra
1+ YOECandidates need one year of SaaS or customer support experience and a bachelor's degree or diploma, or five years of SaaS software experience instead. Strong Microsoft 365 skills, AssetPlanner experience, web meeting hosting, and clear written and verbal communication are preferred.
AssetPlanner, Microsoft Excel, Microsoft PowerPoint, Microsoft 365, Ticketing system
By spreading knowledge of human impacts on the environment, developing and delivering educational programs, conducting research, promoting the sustainable use of natural resources, and…; Develops infrastructure for…
Fundraising, Decision making, Data analysis, Reporting, Data visualization, Machine learning
7+ YOECandidates need 7-10 years of BI and data development experience, strong DAX, Power Query, SQL and PySpark skills, production experience, and French and English bilingualism. Eligibility to work in Canada is required.
2+ YOECandidates need at least two years of recent experience with Microsoft 365, Power BI or Excel reporting, and enterprise data analysis. They also need experience with metadata, data quality, and search or usage analysis, plus Reliability clearance.
Microsoft 365, SharePoint Online, Power Platform, Power BI, Excel
4+ YOECandidates need at least 4 years in data analysis or business intelligence, strong SQL and cloud data warehouse skills, and Python or R. They also need BI tool experience, experiment design knowledge and the ability to present to leadership.
2+ YOECandidates need at least 2 years in a data analyst or BI role, with Python or R, SQL, cloud data warehouses, and BI tools such as Tableau or Power BI. Experience defining KPIs, A/B testing, and clear communication are also needed.
4+ YOECandidates need a university degree in a quantitative field plus 4 years of related experience, or equivalent. Strong skills in statistical modelling, SQL, Python or R, and visualization tools like Power BI or Tableau are required, along with knowledge of Alberta privacy and access legislation.
2+ YOECandidates need a bachelor's degree in a data, statistics, math, computer science or business analytics field, plus at least 2 years of data preparation or reporting experience. Strong Excel skills, attention to detail and analytical ability are required; Power BI and SQL are assets.
5+ YOECandidates need a bachelor's degree or equivalent experience, 5+ years in data analysis and 2+ years in financial services. They need advanced SQL, AWS data tools, strong analytical and stakeholder communication skills, and must be legally eligible to work in Canada.
Candidates need senior-level experience in data analytics and identity and access management, plus skill with identity platforms and reporting tools. Strong analytical, communication and stakeholder skills are needed to work with security, technology, risk and audit teams.
SailPoint, Microsoft Entra ID, Active Directory, Service management platforms
2+ YOECanada Life Assurance Company needs 2 to 3 years of business intelligence and dashboard experience, with strong Power BI, DAX, Power Query and SQL skills. A diploma or degree in a related field, or an equivalent combination of education and experience, is also required.
Power BI, Tableau, SQL, Microsoft Fabric, Python, R
7+ YOECandidates need 7+ years of experience with complex datasets, advanced SQL, and data mining and statistical analysis. Experience building dashboards and data models, using LLMs or AI tools on data, and working in cloud data environments such as Databricks (an asset) is also expected.