Product Analyst

Montréal, QC
On-site
Posted Oct 13, 2026
1 position

Opens LinkedIn

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 meet day-to-day data needs, optimize and develop in-game features, and report on player engagement and monetization. Monitor player behavior and experiments, investigate issues and anomalies, and implement tracking and data pipelines to deliver actionable insights.

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. Тази длъжностна характеристика може да е била прегледана и подобрена с помощта на инструменти с изкуствен интелект с цел повишаване на нейната яснота, последователност и приобщаващ характер. Цялото окончателно съдържание, изискванията за длъжността и решенията за наемане остават предмет на преглед и одобрение от Aristocrat. Философия на възнаграждението Предлагаме цялостен пакет от възнаграждения и придобивки, създаден да остане конкурентен на пазара, да подкрепя вашето благосъстояние и да признава приноса ви към нашия успех. Нашият подход се основава на принципа за възнаграждение според представянето, като насърчава и възнаграждава индивидуалния принос. Конкретният ви пакет на възнаграждение ще бъде определен въз основа на фактори като умения, опит, квалификации и местоположение. В зависимост от вашата роля и местоположение може да имате право на годишни бонуси и стимули, придобивки за здраве и благосъстояние, платен отпуск, пенсионни планове, застрахователно покритие и други местни или законово установени придобивки. Конкретни подробности относно възнаграждението и придобивките за тази позиция ще бъдат обсъдени по време на процеса на подбор.

What you’ll do

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 and communication skills, familiarity with games or customer-facing digital products, and a degree in a relevant field or equivalent experience; Python or R experience is beneficial.