Senior CRM Data Analyst
Listed on 2026-06-05
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IT/Tech
Data Analyst, CRM System, Business Systems/ Tech Analyst, Data Warehousing
Line of business:
Global Asset Management
Duration: 12 months (Possibility of Extension)
Location:
Downtown Toronto - Hybrid - 2 - 3 days in office (Tues, Wed & Thurs on site)
Reports to:
Product Owner, CRM
Reason why open:
New project
Project:
Data quality & data automation projects
Team size: immediate team 4
Team culture:
Team-oriented
Candidate value proposition:
High visibility across multiple business groups
We’re hiring a contract CRM Data Analyst to reconcile datasets with our CRM and prepare clean, enriched files for upload.
You’ll combine Excel (including fuzzy matching/Power Query) with structured rules and clear documentation to drive accurate, repeatable results.
This role suits someone who enjoys problem‑solving with imperfect data.
What you’ll do- Compare external data to CRM records and determine the correct matches.
- Use Excel lookups (and/or Power Query) and other techniques to automate matching.
- Apply judgment on ambiguous cases; validate results with supporting fields.
- Document matching scenarios, rules, and assumptions so the process is auditable and repeatable.
- Produce a final, enriched dataset ready for CRM import and maintain a clear audit trail.
- Maintain overall CRM system hygiene, ensuring data accuracy and completeness.
- 5+ yrs of experience in similar role
- Intermediate-Advanced Excel skills (XLOOKUP/INDEX-MATCH, Power Query; fuzzy matching).
- Experience with data reconciliation, deduplication, and quality checks across multiple sources.
- Strong documentation habits and attention to detail.
- Ability to document matching logic clearly so it can be repeated and automated
- Solid understanding of data quality management and validation techniques
- Familiarity with CRM platforms (e.g., Salesforce) and the asset/wealth management sector in Canada.
- Detail-oriented with a commitment to data accuracy and consistency
- Ability to script in Python (pandas) and/or write basic SQL is an asset.
- Experience with data integration and ETL processes (Extract, Transform, Load)
- Banking/Financial industry preferred
Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.
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