IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 22, 2026

Hiring at a glance

View jobs

Open jobs: 2,608
Employers: 1,282

Advertised starting pay

Average starting payCAD / year: $98,367Across 253 listings
Average starting payCAD / hour: $49.18Across 83 listings
Average starting payUSD / year: $117,481Across 54 listings
Average starting payUSD / hour: $57.50Across 10 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%126 listings
Hybrid: 39%1,008 listings
On-site: 56%1,454 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (57), Royal Bank of Canada (46), TD (45).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

Save this search

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Data Engineer
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Remote, Canada
$103,500 to $140,000 CAD / year
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Dexian

Data Analyst

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Contract
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

Business Information Management Specialist IV – Data Analyst

Job Title: Business Information Management Specialist IV

Location: Toronto, ON

Work Arrangement: Hybrid – 4 days onsite

Schedule: Monday to Friday, 9:00 AM – 5:00 PM

Contract: October 12, 2026 – October 8, 2027

Duration: 1 year

Extension: Possible

Travel: None

Interview Process: 2 rounds – Virtual first round and in-person second round

About the Role

We are seeking a Business Information Management Specialist IV / Data Analyst to join a project-based team supporting complex data initiatives within the financial services and banking environment.

The successful candidate will bring strong technical data management capabilities, advanced SQL and Python skills, and solid knowledge of banking products and Treasury domains. This role will focus on translating business requirements into practical data solutions, validating data and requirements, investigating complex data issues, and ensuring successful delivery of large-scale data initiatives.

The role offers an opportunity to work with a collaborative team on initiatives involving Treasury investments, hedging portfolios, financial products, and enterprise data flows.

Key Responsibilities

Facilitate the review and clarification of business and data requirements with internal stakeholders.
Translate business requirements into practical data solutions and measurable outcomes.
Perform advanced data analysis, profiling, reconciliation, validation, and investigation using SQL and Python.
Analyze enterprise datasets across data sourcing, onboarding, integration, lineage, and source-to-target mapping.
Validate data mapping, transformation rules, controls, and reconciliation results.
Investigate data quality issues, perform root-cause analysis, and work with technology teams to resolve defects.
Support modern cloud-based data platforms and end-to-end data flows, including data navigation within Databricks environments.
Establish and execute disciplined testing practices for large-scale business and data initiatives.
Develop test plans, test cases, requirements traceability, and test evidence.
Coordinate test execution, defect triage, regression testing, and validation activities.
Ensure requirements are properly implemented, tested, validated, and delivered.
Collaborate with cross-functional internal teams to drive project execution and meet deadlines.
Identify data and process issues and communicate findings clearly to business and technology stakeholders.
Support Treasury and financial product data initiatives involving investment and hedging portfolios.

Must-Have Qualifications

5+ years of experience in data analysis, data management, or a related discipline.
5+ years of advanced SQL experience involving data analysis, profiling, reconciliation, validation, and complex data investigation.
5+ years of Python experience for data analysis and data validation.
5+ years of experience in banking or financial services data initiatives.
5+ years of experience with banking products and Treasury domains, preferably involving investment products, Treasury investments, and/or hedging portfolios.
Strong understanding of enterprise data management, including:
Data sourcing
Data onboarding
Data integration
Data lineage
Source-to-target mapping
Data transformation
Data quality and reconciliation
5+ years of project testing experience, including test planning, test-case design, requirements traceability, execution, defect management, regression testing, and test evidence.
Experience translating business requirements into data solutions.
Ability to investigate complex data issues and perform root-cause analysis.
Strong communication and stakeholder management skills.
Excellent attention to detail.

Nice-to-Have Qualifications

Additional Treasury product knowledge, including Liquidity and Capital.
Experience with Databricks or modern cloud-based data platforms.
Experience with Treasury investment and hedging portfolios.
Experience with data product modelling/modeling.
Exposure to wholesale and/or retail banking businesses.
Professional designation such as CFA, CPA, or FRM.

Education

Bachelor's degree in Finance or a quantitative discipline, such as:

Economics
Mathematics
Statistics
Computer Science
Engineering
Finance

Ideal Candidate

The ideal candidate is a data-focused professional with 5–7 years of experience in financial services, combining strong technical capabilities in SQL and Python with practical knowledge of Treasury and investment products.

They should be comfortable navigating complex enterprise datasets, validating requirements and data transformations, investigating data quality issues, and working closely with technology and business teams. Experience delivering large-scale data projects and applying structured testing practices is essential.

Strong communication, attention to detail, ownership, and the ability to consistently meet project deadlines are critical to success in this role.

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

Apply About employer

More about this job

Responsibilities

The role involves translating complex business requirements into practical data solutions and performing advanced data analysis, profiling, and validation. You will also be responsible for investigating data quality issues and executing disciplined testing practices for large-scale data initiatives.

Requirements

Candidates must have 5+ years of experience in data analysis within the financial services or banking sector, specifically with Treasury domains. Proficiency in SQL, Python, and enterprise data management practices is required, along with a relevant bachelor's degree.

Skills

SQL
Python
Data Analysis
Data Management
Banking
Treasury
Data Profiling
Data Reconciliation
Data Validation
Data Mapping
Databricks
Test Planning
Root-cause Analysis
Financial Services
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
SQL
Python
Banking
Treasury
Data Management
Data Profiling
Data Reconciliation
Data Validation
Data Mapping
Databricks
Cloud-based Data Platforms
Financial Services
Investment Products
Hedging Portfolios
Test Planning
Root-cause Analysis
Enterprise Data Flows
Data Lineage
Data Sourcing
Data Onboarding
CFA
CPA
FRM
Economics
Mathematics
Statistics
Computer Science
Engineering
Finance

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