Jobs in Canada

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Added 4 mins ago
FS
Lead software engineer
Forgeahead Solutions Corporation
Surrey, BC
- From $130,000 CAD / year
- Full-time
- Hybrid
Work must be completed both in person and remotely.
Added 1 hour ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Extensive experience using and developing quantitative models with SAS and SQL is a must, experience with Python, R, or other similar software considered a plus.
Added 1 hour ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Automate API workflows, backend validations, and data-processing scenarios using Java or Python.
Added 1 hour ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
Strong programming skills in Python and Structured Query Language (SQL), with experience using APIs, Git, CI/CD, testing, and software engineering practices
Added 1 hour ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 3 hours ago
NB
Chief Developer in Data Engineering
National Bank of Canada
Montreal, QC
- Full-time
SQL and Python to improve solution performance, reliability, and
Added 7 hours ago
LL
Business systems analyst
LATENTBRIDGE LTD.
Mississauga, ON
- From $101,000 CAD / year
- Full-time
- On-site
Document technical requirements to ensure that products, processes and solutions meet business requirements
Added 7 hours ago
CS
Software engineering lead
Comncam Solutions Ltd.
Edmonton, AB
- From $36.5 CAD / hour
- Full-time
- Hybrid
Work must be completed both in person and remotely.
Added 7 hours ago
AC
Trader (Blockchain) ON, TO
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus
Added 7 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…learning solutions. Proficiency in programming languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R is essential, along with experience working with relational databases.…
Added 8 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 8 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 8 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 9 hours ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
Node.js and Python for agent containers, orchestrators, gatekeepers
Added 9 hours ago
HB
Manager, Fraud Risk
Haventree Bank
Toronto, ON
- Full-time
Use SQL, Python, and visualization tools (e.g., Tableau) to build dashboards that track key fraud metrics and emerging trends
Added 10 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
…creative divisions within, working alongside other analysts and experts in data analysis. You will encounter a variety of challenges covering the full data work spectrum, from data mining…
Added 12 hours ago
M
GRO Program - Data
Manulife
Toronto, ON
- Full-time
Build reproducible code and data workflows using SQL, Python, and modern data engineering tools.
Added 12 hours ago
T
Business Insights Analyst II
TD
Markham, ON · Toronto, ON · Montreal, QC
- Full-time
Extract, Transform and validate data using SQL, Python, R.
Added 12 hours ago
T
Tooling SME, Product Delivery & Transformation
TD
Toronto, ON
- Full-time
Python & SQL: Proficiency in data analysis, automation, and database querying.
Added 14 hours ago
B
Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Advanced skills in Python, SQL, SAS, R, or comparable analytical tools; ability to translate complex analysis for senior audiences.
Added 14 hours ago
B
Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Strong applied experience with analytical tools such as Python, SQL, SAS, or R; ability to translate complex analysis into clear, concise insights for senior audiences.
Added 14 hours ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Practical familiarity with Python, SQL, R, machine learning workflows, or analytics environments.
Added 14 hours ago
AF
Enterprise Senior Software Developer
Armstrong Fluid Technology
Toronto, ON
- Full-time
We are seeking a highly skilled Enterprise Developer to join our enterprise architecture team. This role is ideal for a developer with extensive experience in Python, C#, and .NET projects…
Added 16 hours ago
SI
Senior Data Engineer/ Data Modeler
Spruce InfoTech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
…Data Modeler with strong expertise in both Data Engineering and Data Modeling. The consultant must have excellent Python and PySpark coding skills, strong SQL/Data Modeling experience, and…

GamblingCareers.com

Product Analyst

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 2+ years’ experience in a product or data analyst role
Posting language: English
Posted: Oct 10, 2026

Original job description

We are looking for a dedicated Product Analyst to join our growing team. In this role, you will support the creative divisions within, working alongside other analysts and experts in data analysis. You will encounter a variety of challenges covering the full data work spectrum, from data mining to reporting, and have an opportunity to support different business partners. Your contribution will help develop Product Madness games into their best versions yet.

What You'll Do

Collaborate directly with the game team in supporting their day-to-day data needs.

Provide insights necessary to optimize existing and build new in-game features

Share your findings with the game teams and the wider Product Madness community

Develop reports to help with gathering all of our daily critical metrics in areas such as player engagement or monetization

Monitor the constantly evolving in-game behaviour of players exposed to GameOps events and AB Tests

Investigate arising in-game issues and data anomalies

Implement in-game tracking and producing end-to-end data pipelines that empower end users alongside the data engineering team

Uncover new points of view that help us continue to delight the people playing our games

Champion creativity in the way we think, design, test, verify, and implement new solutions

What We're Looking For

Passionate about quantitative analysis

Intuitive and proactive with regard to data interpretation

Capable of generating actionable business insights for the game teams and Product Madness as a whole

Experienced in working with game or similar user experience-focused datasets

Excited to work closely with a diverse team of business partners, product analysts, and data scientists

2+ years’ experience in a product or data analyst role

1+ year of experience working with other F2P games, social casino titles or RMG or general knowledge about the mobile games industry or similarly sophisticated customer-facing digital businesses

Strong SQL and Excel skills

Experience in data visualization and reporting tools such as Looker/QlikView/Tableau/etc.

Working experience setting up and analyzing A/B-tests

Experience in handling complex problems and communicating the solutions to varied audiences

Ability to translate game needs into data analytics requirements

Strong in mathematics and quantitative analysis with a passion for numbers and data

Degree in Computer Science, Data Science, Mathematics, or a similar field, or equivalent experience, is preferred

Experience with Python and/or R.

About us: Aristocrat and Product Madness

Aristocrat is an Australia-based entertainment and content-creation company powered by technology to deliver world-leading mobile and casino games, entertaining millions of people across the globe daily. Aristocrat has three operating business units, spanning regulated land-based gaming (Aristocrat Gaming), social casino (Product Madness), and regulated online real-money gaming (Aristocrat Interactive). Our team of over 7,400 employees across the globe are united by our company mission of bringing joy to life through the power of play.

Product Madness is part of the Aristocrat family, shares the mission of bringing joy to life through the power of play, with a world-class team that creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, and Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

Diversity and Inclusion are integral to our values of Talent Unleashed; Collective Brilliance; Good Business, Good Citizen; and It’s All About the Player. We celebrate diversity and do not discriminate based on gender, race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.

This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

Compensation Philosophy

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.

Apply About employer

More about this job

Responsibilities

Partner with game teams to address day-to-day data needs, analyze player behavior and experiments, investigate issues, and provide insights to improve existing and new in-game features. Build reports, implement tracking, and develop end-to-end data pipelines that support decision-making across the business.

Requirements

Candidates should have at least two years of product or data analyst experience, strong SQL and Excel skills, and experience with reporting tools and A/B testing. The role also calls for quantitative analysis, clear communication, familiarity with games or customer-facing digital products, and preferably a relevant degree or experience with Python or R.

Skills

Quantitative Analysis
Data Interpretation
SQL
Excel
Data Visualization
Reporting
A/B Testing
Python
R
Data Mining
Data Pipeline Development
In-Game Tracking
Business Insights
Mathematics
Problem Solving
Communication

Benefits

Health and Wellbeing Benefits
Paid Time Off
Retirement Plans
Insurance Coverage
Annual Bonuses and Incentives

Visa sponsorship

Not detected in the job text

Keywords

Product Analytics
Data Analysis
SQL
Excel
Looker
QlikView
Tableau
Python
R
Data Mining
Data Visualization
Reporting
A/B Testing
GameOps
Player Engagement
Monetization
Free-to-Play Games
Social Casino
Real-Money Gaming
Mobile Games
In-Game Tracking
Data Pipelines
Data Anomalies
Quantitative Analysis
Business Insights
Product Analytics Requirements

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