- Employment type
- Full-time · On-site
- Posted
- September 21, 2026
- Salary range
- $95,000–$145,000 CAD per year
- NOC code
- 21223 — Database analysts and data administrators
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Some gaps · 67/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in 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. CGI 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
Median $90,969 per year, with most postings between $88,423 and $105,000 (Database analysts and data administrators, 2026-05, 20 postings). This posting advertises $95,000–$145,000.
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:
- SQL
- Databricks
- Microsoft Azure
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Manage end-to-end data lifecycle
- Perform data landing
- Perform data curation
- Perform data productization
- Monitor data systems and processes
What you'll need
- Strong expertise in SQL
- Strong expertise in Databricks
- Strong expertise in Microsoft Azure
- Strong expertise in data modeling
- Strong expertise in ETL
- Strong expertise in data analysis
- Experienced data professional
- Ability to work hybrid (minimum 1 day per week in Toronto, ON)
- Capital Markets experience