IT & data jobs in Canada

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

Counted Sep 18, 2026

Hiring at a glance

View jobs

Open jobs: 2,669
Employers: 1,282

Advertised starting pay

Average starting payCAD / year: $97,963Across 250 listings
Average starting payCAD / hour: $50.72Across 85 listings
Average starting payUSD / year: $117,351Across 54 listings
Average starting payUSD / hour: $57.93Across 12 listings

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

Where work happens

Remote: 5%128 listings
Hybrid: 39%1,037 listings
On-site: 56%1,484 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (76), Royal Bank of Canada (58), TD (48).

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

Added 13 mins ago
Intelligence Mission Data Systems Analyst
ADGA Group Consultants Inc
Ottawa, ON
125,000 to 140,000 CAD / year
Full-time
Added 27 mins ago
Information Security Analyst
Glocomms
Montreal, QC
Full-time
Added 27 mins ago
Intelligence Mission Data Systems Analyst
ADGA Group
Ottawa, ON
125,000 to 140,000 CAD / year
Full-time
Added 28 mins ago
Systems Analyst
Ippolito
Burlington, ON
Added 57 mins ago
Data Scientist, Early Career (Canada)
Jobright.ai
Canada
Full-time
…its innovative technologies. They are seeking an Early Career Data Scientist to develop predictive models, optimize AI performance, and analyze user data to enhance product…
Added 57 mins ago
Business System Analyst
Nityo Infotech
Toronto, ON
Contract
Added 57 mins ago
Testeur(-euse) de jeux vidéo / Video Game Tester
Lionbridge Games
Brossard, QC
Temporary
Added 57 mins ago
Software Engineering Manager
Exchange Solutions
Toronto, ON
Full-time
Added 59 mins ago
Senior Data Engineer – Capital Markets
Synechron
Mississauga, ON
Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and…
Added 1 hour ago
Data Scientist
RBC
Toronto, ON
Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 1 hour ago
Service Desk Analyst
Northbridge Financial Corporation
Vancouver, BC
Full-time
Added 1 hour ago
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Added 1 hour ago
Lead Technical Data Analyst - Data Warehouse Services
Aylo
Montreal, QC
Full-time
Added 1 hour ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
120,000 to 150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 2 hours ago
Intern, IT Support
Pomerleau
Montreal, QC
Internship
Added 2 hours ago
Technical Project Manager
OSI Engineering
Concord, ON
Full-time
Added 2 hours ago
ROV Technical Support Representative
Deep Trekker Inc.
Kitchener, ON
Full-time
Added 2 hours ago
Intern, IT Support
Pomerleau
Longueuil, QC
Internship
Added 2 hours ago
Intern, IT Support
Pomerleau
Laval, QC
Internship
Added 2 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 2 hours ago
Data Engineer
Cosqube
Montreal, QC
Contract
We are looking for an experienced Senior Data Engineer to join a long-term project with one of our clients in Montreal, QC.
Added 2 hours ago
Data Analyst (Contract, 6 months)
Ainsworth Inc
Mississauga, ON
Full-time
We are seeking a highly motivated and detail-oriented Data Analyst to join our data-driven team. As a Data Analyst, you will play a crucial role in supporting data-related activities within…
Added 2 hours ago
Data Scientist
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 2 hours ago
Data Engineer
LanceSoft, Inc.
Toronto, ON
Contract
Database development or data engineering for enterprise level solutions
Added 2 hours ago
Data Engineer
VLink Inc
Montreal, QC
Contract

Sundayy

Data Analyst

Canada

Full-time

Apply About employer

Applications open in a new tab.

At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

The Data Analyst will drive strategic analytics by performing diagnostic and predictive analyses to identify business variances and root causes. They are responsible for building scalable data pipelines in Databricks and translating complex technical findings into clear narratives for executive leadership.

Requirements

Candidates must hold a bachelor's degree in a quantitative discipline and possess at least 2 years of professional experience in data analysis. Proficiency in SQL, Python, and experience with large-scale relational datasets and data architecture are required.

Experience

2 to 5 years

Education

bachelor degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

Hybrid

Skills

SQL
Python
Databricks
PySpark
Data analysis
Data modeling
Data architecture
Statistical analysis
Hypothesis testing
A/B testing
Data governance
Metadata management
Predictive analysis
Diagnostic analysis
Data visualization
Communication

Benefits

Competitive bonus program
Pension and retirement plans
Medical coverage
Dental coverage
Vision coverage
Paid time off
Paid parental leave
Community involvement initiatives support

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Cybersecurity
SQL
Python
Databricks
PySpark
Data Modeling
Data Architecture
Statistical Analysis
Hypothesis Testing
A/B Testing
Data Governance
Metadata Management
Predictive Analytics
Diagnostic Analytics
Telemetry Data
Marketing Performance
Product Health
Data Integration
Data Quality Assurance
Strategic Analytics
Econometrics
Computer Science
Statistics
Direct-to-consumer

Original job description

About The Company

McAfee is a globally recognized leader in personal security solutions dedicated to safeguarding individuals and their digital lives. With a focus on protecting people rather than just devices, McAfee offers innovative and intuitive security products designed to adapt to the evolving needs of users in an always-connected world. The company’s mission is to empower families and communities by providing comprehensive security solutions that are both effective and easy to use. McAfee’s commitment to excellence and innovation has established it as a trusted name in cybersecurity, serving millions of customers worldwide. The organization values diversity, inclusion, and a culture of continuous improvement, making it an ideal environment for professionals seeking growth and impactful work.

About The Role

The McAfee Strategic Analytics team, part of the Analytics & Data Science organization, is expanding its capabilities to enhance data-driven decision-making across a global direct-to-consumer business serving over 400 million customers. This role is pivotal in leading analytics projects that cross business silos and partnering with technical experts to deliver measurable outcomes. As a Data Analyst with a product-owner mindset, you will bridge the gap between raw telemetry data and strategic business actions. Your responsibilities will include building scalable solutions within Databricks, uncovering root causes that influence marketing performance and product health, and translating complex data into clear narratives for executive leadership. This hybrid position is based in Waterloo, Canada, requiring onsite presence as needed, with remote work options when not onsite. You will have the opportunity to influence high-level decision-making and gain recognition for your contributions in a dynamic and innovative environment.

Qualifications

Bachelor's degree in Statistics, Econometrics, Computer Science, or a related quantitative discipline
Minimum of 2+ years of professional experience in data analysis or related fields
Proficiency in SQL and Python for data exploration, transformation, and analysis
Experience working with large-scale relational and analytical datasets
Strong understanding of data architecture, including data modeling, data structure design, and data integration
Ability to ensure data integrity and consistency across multiple sources
Knowledge of statistical analysis, hypothesis testing, and experimentation methodologies (Frequentist, Bayesian, A/B testing)
Familiarity with data governance, metadata management, and documentation standards
Exceptional communication skills, capable of translating technical insights into clear narratives for diverse audiences

Responsibilities

Drive strategic analytics by moving beyond descriptive reports to diagnostic and predictive analyses
Proactively identify business variances such as retention drops or funnel leakage, and isolate root causes
Recommend actionable solutions to leadership based on data insights
Own end-to-end execution of analytics projects, from problem statement to deployed solutions
Manage stakeholder relationships, define project requirements, and drive progress with minimal supervision
Design and develop scalable data pipelines and sandboxes within Databricks (PySpark/SQL) to serve as the organization’s “Single Source of Truth”
Optimize code for performance, reliability, and maintainability
Translate complex technical findings into clear, impactful narratives for executive-level presentations
Champion best practices in data governance, documentation, and data quality assurance
Collaborate with cross-functional teams to foster a culture of data excellence and operational transparency

Benefits

Competitive bonus program
Pension and retirement plans
Comprehensive medical, dental, and vision coverage
Paid time off and paid parental leave
Support for community involvement initiatives
Opportunities for professional growth and development within a leading cybersecurity company

Equal Opportunity

McAfee is committed to fostering an inclusive and diverse workplace. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status. We believe in providing equal employment opportunities to all applicants and employees, ensuring a respectful and welcoming environment for everyone.

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