IT & data jobs in Canada

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

Counted Sep 24, 2026

Hiring at a glance

View jobs

Open jobs: 2,738
Employers: 1,327

Advertised starting pay

Average starting payCAD / year: $99,277Across 261 listings
Average starting payCAD / hour: $48.13Across 88 listings
Average starting payUSD / year: $117,228Across 55 listings

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

Where work happens

Remote: 5%129 listings
Hybrid: 38%1,043 listings
On-site: 57%1,547 listings

Not specified: 1% (19 listings)

Employers hiring include RBC (56), Royal Bank of Canada (49), TD (47).

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

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Ubisoft

Data Analyst

Montreal, QC, Canada

Job type: Full-time
Experience: 2+ years of experience as a data analyst
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Description de l'entreprise

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Description du poste

The Data Analyst, Audience Analytics, will be the main analytics owner of several major game franchises, responsible for gathering and analyzing customer data across their portfolio and answering all kinds of analytics questions from business and marketing stakeholders. Working closely with production and marketing teams, you will provide clear insights about consumer behaviors, drive strategic recommendations, and support audience-centric projects throughout the entire life cycle of a game, across acquisition, retention, brand circulation, and more. You will be a key decision driver, translating data into actionable directions that directly shape how teams engage with their players.

WHAT YOU'LL DO

Analytics

Create, manage and distribute data and insights utilizing analytics tools (SQL, Python)
Analyze customer data to gather knowledge, generate insights, create value and support decision-making
Design and build player clustering models to define and refine audience profiles across the game lifecycle
Maintain and update audience segmentations to ensure relevance as player behaviors and business contexts evolve
Support brand circulation strategies by identifying cross-game audience overlaps and player migration patterns
Identify levers of audience segmentation, monitor their evolutions and their impact on business KPIs
Apply a variety of visualization techniques and design the content and appearance of data visuals

Project Management & Collaboration

Own end-to-end analytical projects: scope, plan, execute and deliver, ensuring stakeholders are aligned throughout
Track project progress, communicate status and manage priorities across multiple concurrent workstreams
Translate business questions and challenges from stakeholders into Audience Analytics projects
Be the main point of contact of the stakeholder teams; understand the brand and marketing objectives and the major initiatives; identify the most relevant methodology to answer the need; deliver insights
Conduct meetings and coordinate different interlocutors (finance, research, marketing, …)
Work closely with CRM and media teams, understand their technical environment and constraints, propose an adapted approach to their operational needs
Provide strategic audience recommendations to stakeholders

Qualifications

WHAT YOU'LL BRING

Master’s degree (MA/MBA) preferred - Marketing, Marketing Research, Statistics, or Econometrics
2+ years of experience as a data analyst
Proficiency in SQL and Python for data analysis
Experience with clustering and segmentation methods (k-means, hierarchical clustering, RFM, or similar)
Strong project management skills: ability to track multiple workstreams, manage timelines and communicate progress clearly
Strong analytical and synthesis skills; ability to analyze raw data, draw conclusions, and develop actionable and strategic recommendations
Strong quantitative skills, and experience utilizing scientific analytic methods and quantitative analysis techniques
Experience working with lakehouse data platforms (Databricks, Snowflake, or similar) is a plus
Proactivity and creativity with data
Demonstrated success presenting complex qualitative and quantitative data in a clear and compelling manner
Naturally curious, analytics-driven mindset; comfortable challenging assumptions
Excellent written and oral communication skills

Contract: Permanent

Work flexibility: Office-based

Apply About employer

More about this job

Responsibilities

The Data Analyst will manage analytics for major game franchises by gathering and analyzing customer data to provide actionable insights for marketing and production teams. They will design player clustering models, maintain audience segmentations, and lead end-to-end analytical projects to support strategic decision-making.

Requirements

Candidates should hold a Master's degree in Marketing, Statistics, or a related field and possess at least 2 years of experience in data analysis. Proficiency in SQL, Python, and experience with clustering methods and lakehouse data platforms are required.

Skills

SQL
Python
Data Analysis
Clustering
Segmentation
Project Management
Data Visualization
Audience Analytics
KPI Monitoring
Statistical Analysis
Econometrics
Databricks
Snowflake
Marketing Research
Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Audience Analytics
SQL
Python
Clustering
Segmentation
K-means
RFM
Databricks
Snowflake
KPI
Marketing
Gaming
Ubisoft
Data Visualization
Econometrics
Statistics
Project Management
Consumer Behavior
Brand Circulation
Retention
Acquisition
Lakehouse
Quantitative Analysis

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