Product Analyst
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 2+ years’ experience in a product or data analyst role
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
Partner with game teams and business stakeholders to analyze player behavior, investigate data issues, and provide actionable insights for improving existing and new in-game features. Develop reports and data pipelines, implement in-game tracking, and monitor metrics and experiments such as GameOps events and A/B tests.
Requirements
Candidates should have at least two years of product or data analyst experience, strong SQL and Excel skills, and experience with reporting or visualization tools and A/B testing. The role also calls for quantitative analysis, the ability to communicate insights to varied audiences, and experience or knowledge related to mobile games or similar customer-facing digital products; a relevant degree or equivalent experience is preferred.
Skills
- Quantitative Analysis
- SQL
- Excel
- Data Visualization
- Reporting
- A/B Testing
- Python
- R
- Data Interpretation
- Business Insights
- Data Mining
- Data Pipeline Development
- In-Game Tracking
- Product Analytics
- 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
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Product Analytics
- Data Analysis
- Quantitative Analysis
- SQL
- Excel
- Looker
- QlikView
- Tableau
- Python
- R
- Data Mining
- Data Visualization
- Reporting
- A/B Testing
- Data Pipelines
- In-Game Tracking
- Player Engagement
- Monetization
- Player Behavior
- GameOps
- Mobile Games
- Free-To-Play Games
- Social Casino
- Real-Money Gaming
- Data Anomalies
- Business Insights
- Data Engineering
- Product Development