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Dexian

Data Analyst

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 21, 2026
Experience: Experience with project testing discipline – 5 years
Posting language: English
Posted: Sep 21, 2026

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Original job description

Role: Data Analyst (Banking Products/Treasury domains)

Location : Toronto ON(4 Days Onsite/Week)

Contract

Experience and Skills

Strong technical data management capabilities across enterprise datasets, including data sourcing, onboarding, integration, lineage analysis, source-to-target mapping, and support for modern cloud-based data platforms and end-to-end data flows.
Strong technical capability to support data quality and business validation, including analysis of mapping and transformation rules, control and reconciliation results, root-cause investigation, and partnership with technology teams to resolve defects.
Experience establishing disciplined testing practices for large-scale business and data initiatives, including test planning, test-case design, requirements traceability, execution coordination, defect triage, regression testing, and test evidence.
Demonstrated ability to lead cross-functional teams, drive execution, and deliver tangible business impact.

MUST-HAVE Hard Skills:

Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues. -5 years
Strong knowledge of banking products and Treasury domains, including exposure to wholesale and/or retail businesses and use cases such as investments, and Treasury data products modeling. -5 years
Proven experience delivering large-scale, complex data initiatives in banking or financial services, with the ability to translate business requirements into practical data solutions and measurable outcomes -5 years
Experience with project testing discipline – 5 years

NICE-TO-HAVE

treasury background with other product domain knowledge like liquidity, capital

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status

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More about this job

Responsibilities

The Data Analyst will manage enterprise datasets, including data sourcing, integration, and lineage analysis while supporting modern cloud-based data platforms. They are responsible for ensuring data quality through validation, reconciliation, and root-cause investigation of defects in partnership with technology teams.

Requirements

Candidates must have at least 5 years of experience in banking or financial services with advanced proficiency in SQL and Python. A strong background in Treasury domains and proven experience in large-scale data initiatives and testing disciplines is required.

Skills

SQL
Python
Data Analysis
Data Profiling
Data Reconciliation
Data Validation
Data Integration
Lineage Analysis
Source-to-target Mapping
Cloud-based Data Platforms
Banking Products
Treasury Domains
Data Modeling
Test Planning
Defect Triage
Regression Testing

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Banking
Treasury
SQL
Python
Data Management
Data Integration
Lineage Analysis
Cloud Platforms
Data Quality
Reconciliation
Test Planning
Defect Triage
Regression Testing
Wholesale Banking
Retail Banking
Data Modeling
Financial Services
Liquidity
Capital
Data Sourcing
Transformation Rules
Root-cause Investigation
Cross-functional Leadership
Data Initiatives

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