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Product Analyst

Aristocrat
Montréal, CAN
Full-time
Junior · 1+ years experience
Hybrid
Discovered 3 weeks ago
excellookerpythonsqltableau

Full Job Posting

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.

Qualifications

  • 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
  • Experience with Python and/or R.

Preferred Qualifications

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

Responsibilities

  • 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.

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