Data and Analytics Specialist
- Employment type
- Full-time · On-site
- Posted
- September 23, 2026
- Province
- Ontario (ON)
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. Chartwell 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 and Analytics Specialist 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
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Strong practical experience with Snowflake
- Experience with Azure Data Factory
- Experience with Azure Data Lake
- Proficiency in SQL
- Proficiency in Python
Fit check
Is this role right for you?
Top skills this posting asks for:
- Snowflake
- Azure Data Factory
- Azure Data Lake
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.
Scan your resume to see your fitKeep looking
Similar jobs
What you'll do
- Design enterprise data solutions
- Develop data solutions using specified technologies
- Troubleshoot data and analytics systems
- Support enterprise data solutions
- Work within an established data and analytics team
What you'll need
- Strong practical experience with Snowflake
- Experience with Azure Data Factory
- Experience with Azure Data Lake
- Proficiency in SQL
- Proficiency in Python
- Experience with Power BI
- Ability to design enterprise data solutions
- Ability to troubleshoot data systems
- Ability to become productive quickly in established enterprise environments