Jobs in Canada

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Added 1 min ago
Finance Data Systems Specialist, Finance Architecture
ATB
Edmonton, AB · Calgary, AB
Full-time
Database Querying & Optimization: Expert-level SQL skills to query, tune, and extract insights from high-volume financial databases.
Added 16 mins ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
State Street
Toronto, ON
Full-time
 In-depth knowledge of at least one of the following RDMBS: Oracle, MS SQL Server or Sybase
Added 31 mins ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Added 31 mins ago
Software Engineer II (Fullstack), Growth Platform
Scribd, Inc.
Toronto, ON · Vancouver, BC
Full-time
Understanding of database systems (SQL and NoSQL) and architectural tradeoffs.
Added 31 mins ago
Lead Software Developer (Fortify Cloud development)
Open Text Corporation
Ottawa, ON · Mississauga, ON · Richmond Hill, ON · Waterloo, ON
Other
We are expanding our Fortify Cloud development team and are looking for a self-motivated Software Developer who enjoys solving complex technical challenges at scale. In this role, you will…
Added 46 mins ago
Data Analyst, Go-To-Market Sales Insights
CapitalG
Toronto, ON
Full-time
Proficiency in SQL - able to read, write, and review structured, efficient queries on large data sets, whether you wrote them yourself or an AI coding assistant did; you own the correctness…
Added 46 mins ago
IT Solutions and Data Designer
iA Financial Group (Industrial Alliance)
Montreal, QC
Full-time
Has strong proficiency in SQL and a solid knowledge of Python or an equivalent programming language;
Added 1 hour ago
Product Analyst
GamblingCareers.com
Montreal, QC
Full-time
Added 1 hour ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Added 1 hour ago
Implementation Specialist (Software)
Valsoft Corporation
Remote, Canada
Full-time · Remote
● Connect and configure solution databases using Microsoft SQL Server
Added 1 hour ago
Business Applications Specialist
Doctors of BC
Vancouver, BC · BC
Full-time
Added 1 hour ago
Senior Programmer Analyst (24 Month Contract)
Doctors of BC
Vancouver, BC · BC
Full-time
Added 1 hour ago
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
Full-time
Proficiency in Python and SQL; or any other programming languages is a strong plus.
Added 2 hours ago
Senior Analyst, Business Analysis And Insights - GIS
Walmart Canada
Mississauga, ON
Full-time
Build and automate scalable geospatial workflows using CARTO, BigQuery, GCP, Python, SQL, APIs, and related cloud and spatial technologies, with a focus on reusable and maintainable…
Added 2 hours ago
Implementation Manager- Investment Software Implementation / Charles River Development - Officer
Charles River Development
Toronto, ON
Full-time
Basic command of SQL and understanding of relational databases. Familiarity with FIX or similar protocols is a plus. Familiarity with Crystal Reports or similar reporting packages is a plus.
Added 2 hours ago
Strategic Finance Analyst
Actionstep
Remote, Canada
Full-time · Remote
Working knowledge of SQL and curiosity to learn more.
Added 2 hours ago
Health Information Management Instructor
Southern Alberta Institute of Technology (SAIT)
Calgary, AB · Greater Calgary Metropolitan Area
Full-time
Must be confident teaching courses involving SQL Developer, Microsoft Access, Tableau, and Power BI.
Added 2 hours ago
Identity & Access Management (IAM) - Bilingual
Alquemy Search & Consulting
Ottawa, ON
$90,000 to $134,000 CAD / year
Full-time
Database Systems: Strong database management skills, including SQL and Oracle.
Added 2 hours ago
Principal Data Scientist, Product Data & Analytics
Intuit
Toronto, ON
Full-time
Deep technical expertise in SQL and Python, with strong command of causal identification, experiment design, predictive modeling, and AI evaluation (golden datasets, LLM-as-judge, synthetic…
Added 3 hours ago
Business Systems Analyst
McCoy Corp
Edmonton, AB
Strong SQL skills and experience working with relational databases and data structures.
Added 3 hours ago
Associate Director, AI Products Development Lead
RBC
Toronto, ON · Halifax, NS
Full-time
Data Engineering: Strong SQL skills, experience with relational and NoSQL databases, and familiarity with streaming platforms (Kafka, Kinesis) and pipeline tools (Airflow, Spark).
Added 3 hours ago
Senior Software Developer in Test (Development Focused)
RBC
Montreal, QC
Full-time
We are seeking a top-notch, hands on Senior Software Developer who is a passionate, driven team player committed to code quality and testing excellence. The ideal candidate will play a…
Added 3 hours ago
Principal Software Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
8+ years of experience with relational databases (such as MS SQL Server or PostgreSQL) and NoSQL databases (such as AWS DDB)
Added 3 hours ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
Charles River Development
Toronto, ON
Full-time
 In-depth knowledge of at least one of the following RDMBS: Oracle, MS SQL Server or Sybase
Added 3 hours ago
Python DataStage Developer
J&M Group
Toronto, ON
Contract
Experienced Python DataStage Developer responsible for designing, developing, and maintaining ETL/data integration solutions for banking applications.

GamblingCareers.com

Product Analyst

Montreal, QC, Canada

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 1, 2026

Apply About employer

Applications open in a new tab.

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 analyze player behavior, investigate data issues, evaluate A/B tests and GameOps events, and provide actionable insights to improve in-game features. Develop reports, implement tracking, and collaborate on end-to-end data pipelines that support daily business decisions.

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. Experience in mobile games or similar customer-facing digital businesses is sought, along with strong quantitative and communication skills; a relevant degree and Python or R experience are preferred.

Skills

Quantitative Analysis
Data Interpretation
SQL
Excel
Data Visualization
Reporting
A/B Testing
Python
R
Game Analytics
Data Mining
Data Pipeline Development
In-Game Tracking
Business Insights
Mathematics
Stakeholder 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
A/B Testing
Python
R
Data Mining
Data Visualization
Reporting
Data Pipelines
In-Game Tracking
Player Engagement
Monetization
GameOps
Mobile Games
Free-to-Play Games
Social Casino
Real-Money Gaming
Player Behavior
Business Insights
Quantitative Analysis
Data Anomalies
Product Development
Data Science

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