Data Analyst (Data Quality & Integration)
- Employment type
- Full-time · On-site
- Posted
- November 7, 2026
- NOC code
- 21223 — Database analysts and data administrators
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 29/100
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. Insight Global 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 does not state a salary.
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 quality management
- Data integration
- Database administration
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What you'll do
- Oversee data ingestion pipeline
- Load data extracts into existing database
- Enforce strict quality and integrity checks
- Identify data anomalies proactively
- Identify corrupted records for deletion and cleanup
- Generate outbound data extracts
- Generate manifest files using native database tools
- Act as first line of defense against bad data
What you'll need
- Meticulous attention to detail
- Experience with data ingestion pipelines
- Knowledge of database tools
- Understanding of data integrity principles
- Ability to identify and resolve data anomalies