Data Analyst / Business Analyst
- Employment type
- Full-time · On-site
- Posted
- September 28, 2026
- NOC code
- 21223 — Database analysts and data administrators
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21223 — Database analysts and data administrators. Querentia is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Data Analyst in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21223 — Database analysts and data administrators. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation. Data analysts are classified under 21223 in NOC 2021; some analytics roles with a heavy modelling component fall under 21211 (data scientists).
Typical qualifications for Canadian employers
A degree in statistics, mathematics, computer science, economics or business, plus SQL and a visualisation tool such as Power BI or Tableau.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Analysis
- Business Analysis
- SQL
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What you'll do
- Analyze data and provide actionable insights
- Translate business requirements into technical deliverables
- Work closely with Product Owner and Lead BSA
- Collaborate with Data Engineering teams
- Engage with business stakeholders
- Bridge communication between business and technology teams
- Conduct testing on data and business solutions
- Document requirements and analysis findings
What you'll need
- Analytical and hands-on approach
- Ability to bridge business and technology teams
- Experience with data analysis
- Experience with business analysis
- Testing capabilities
- Strong communication skills
- Ability to work with Product Owners and BSAs
- Ability to work with Data Engineering teams
- Experience translating business requirements into actionable insights