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Product Analyst

  • Montréal, QC
  • On-site
  • Posted Oct 11, 2026
  • 1 position

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Apply by
Nov 1, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

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.

Job details

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.

What you’ll do

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.

Benefits

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

Listed skills

  • Data visualization · Preferred
  • SQL · Preferred
  • Problem solving · Preferred
  • Microsoft Excel · Preferred
  • Communication · Preferred
  • Reporting · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • 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

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Creative & Media

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