As of November 6, 2026, Jobsy lists 43 data analyst jobs in Toronto, ON. The median advertised pay is $55 an hour (from 9 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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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
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.
Candidates need a bachelor's degree in data science, statistics, mathematics or a related field, and proven analytical experience. Strong SQL, Python or R skills and visualisation tools such as Tableau or Power BI are required, along with clear communication to non-technical audiences.
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
5+ YOECandidates need 5+ years in analytics or business intelligence, strong SQL on a modern warehouse, and experience with GTM or financial reporting. SaaS metrics such as ARR, retention and pipeline, plus active use of AI in analysis, are expected.
3+ YOECandidates need 3-5+ years of project management experience, preferably in HR, HRIS or payroll, plus advanced analytics skills in Excel, Power BI, SQL, R, Python, IBM Cognos or Informatica. Professional-level French writing is required, along with strong communication and presentation skills.
Excel, Power BI, SQL, R, Python, IBM Cognos Analytics
Candidates need strong analytical skills, hands-on SQL and data validation experience, and business analysis and requirements documentation experience. They should be able to support backlog grooming, write test scenarios and cases, and collaborate well across business and technology teams.
5+ YOECandidates need 5+ years as a data or BI analyst, 2+ years building production dashboards, and 2+ years of hands-on dbt work. Advanced SQL, Git-based workflows, cloud data warehouse experience, and strong client communication are also required.
dbt, SQL, Git, enterprise BI platform, cloud data warehouse
3+ YOECandidates need 3 to 5 years in a data analyst or business intelligence role, strong SQL and Python or R skills, and experience with dbt and BI dashboards. They also need solid statistics, data validation skills and the ability to communicate findings clearly.
3+ YOECandidates need a finance-related degree and 3 to 5 years of experience in investment management or financial services. Strong requirements skills, knowledge of equity, fixed income or derivatives data, and clear communication are required, while SQL and data modeling are assets.
SQL, Python, PySpark, Microsoft Fabric, Enterprise Data Management platform
2+ YOECandidates need a bachelor's degree and 2+ years of professional experience in a relevant domain. They must be strong in Excel, PowerPoint and Word, with careful document review skills and attention to detail.
2+ YOECandidates need a bachelor's degree and 2+ years of professional experience in a relevant domain. They must be strong in Excel, PowerPoint and Word, with careful document review skills and attention to detail.
2+ YOECandidates need a bachelor's degree, 2+ years of relevant professional experience, strong document analysis skills and strong proficiency in Excel, PowerPoint and Word. Attention to detail and the ability to follow structured guidelines are also required.
10+ YOECandidates need 10+ years of data analysis and large OLTP performance experience, knowledge of the wealth industry and IIROC-CRM and CRA guidelines, and skills with Hadoop, Hive, Google Cloud databases and streaming tools like Kafka.
Google Cloud Platform, Hadoop, Hive, Pig, Flume, Sqoop
Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.
3+ YOECandidates need 3+ years in data analytics or BI, ideally in telecommunications, plus advanced Databricks, SQL, Python and Tableau skills. A university degree in Computer Science, Mathematics or a related field is required.
Tableau, Power BI, Databricks, SQL, Python, PySpark
5+ YOECandidates need 5+ years of hands-on Azure cloud engineering experience, plus Terraform, CI/CD with GitHub Actions and Jenkins, and Power BI administration. Strong Azure networking knowledge and data engineering fundamentals are also required.
Azure Data Factory, Azure Databricks, Azure Functions, Azure API Management, Terraform, GitHub Actions
8+ YOECandidates need 8+ years of combined experience in data analytics, business intelligence and Agile product ownership, including large enterprise work. Advanced Power BI, advanced SQL and Python automation skills are required, and an undergraduate degree in a quantitative or business discipline is asked for.
Power BI, SQL, Python, Azure Data Factory, Azure Synapse Analytics, Databricks
Candidates need prior experience in revenue operations, business intelligence, or data analytics, with strong SQL and experience querying a cloud data warehouse like Snowflake. They also need CRM experience with HubSpot or Salesforce, a BI tool such as Looker or Tableau, and comfort using AI tools for analysis.
1+ YOECandidates need a Health Information Management diploma, active CHIMA membership and certification, and one year of DAD or NACRS coding experience. They also need meticulous accuracy, strong organization, and the ability to meet deadlines.
8+ YOECandidates need 8+ years of data analysis experience, strong SQL in relational and non-relational databases, and working knowledge of data modelling and transformation. Good communication skills and the ability to work across functions are also needed.