Associate Game Data Analyst / Scientist / Economist
Job Type
Full time
Department
Others
Job Description
The Opportunity:
We are seeking hardworking and data-driven individuals to join our growing data teams in Barcelona. This role offers the chance to initiate your data career and gain experience across a variety of data departments:
Data Analytics
Data Science
Game Economy
The offer includes a full-time training program covering analytics, data science, and economics, including both the soft and hard skills required by these roles.
Potential Focus Areas & Key Responsibilities:
As a Game Data Analyst / Scientist / Economist, your responsibilities will vary based on your specialization and the team's current needs. Potential areas of focus include:
Player Behavior Analysis & Insights:
Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis.
Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development.
Develop and monitor critical metrics related to player engagement, retention, and monetization.
Game Economy Design & Management:
Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles.
Provide economic insights to product and game operations teams to encourage growth and **improve** player experience.
Share game economy standard methodologies and knowledge across the company.
Data Science & Analytical Solutions:
Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems.
Develop simulations of player behavior to improve game design and feature development.
Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines.
Regardless of focus, you will be encouraged to:
Work closely with game teams to support their day-to-day data needs and the wider Product Madness community.
Investigate arising in-game issues and data anomalies.
Communicate results clearly and efficiently to varied audiences.
Qualifications:
Required Skills and Qualifications:
Academic Background: A degree or equivalent work experience in a quantitative field, including but not limited to:
Economics
Statistics
Mathematics
Computer Engineering / Computer Science
Data Science
Finance
Sciences (especially Physics)
Other fields with a strong quantitative aspect.
Analytical Prowess: Passion for quantitative analysis, with the ability to interpret data, generate actionable business insights, and translate complex problems into clear recommendations. Experience in understanding context and looking after ambiguous requirements.
Technical Skills:
Excel skills
Basic understanding of statistics
Confirmed Experience (Preferred): Curiosity about the mobile games industry.
Communication & Collaboration: Good communication skills, capable of presenting insights and ideas clearly to various audiences. Ability to work collaboratively with individuals and teams, and reach out for help and support.
Pro activeness & Learning: Intuitive and proactive with regards to data interpretation. Eagerness to learn new skills and explore different approaches, whether it is in collaborating, communicating, or data analysis.
Meriting Skills:
Proficient in English both written and Verbal
An advanced degree or equivalent experience in Economics, Finance, Computer Science, Data Science, Mathematics, or a related field.
Experience with machine learning model development.
Experience in econometrics, causal inference, or simulation modeling (e.g., Monte-Carlo modeling).
Experience with data processing / data-heavy research projects.
Experience coding in SQL, Python, and/or R.
Why Product Madness?
As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, 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.
We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.
So, what’s stopping you?
Travel Expectations
NoneAdditional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Key Responsibilities
- Player Behavior Analysis & Insights: Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis. Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development. Develop and monitor critical metrics related to player engagement, retention, and monetization. Player Behavior Analysis & Insights: Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis. Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development. Develop and monitor critical metrics related to player engagement, retention, and monetization. Player Behavior Analysis & Insights: Player Behavior Analysis & Insights: Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis. Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development. Develop and monitor critical metrics related to player engagement, retention, and monetization. Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis. Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis. Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development. Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development. Develop and monitor critical metrics related to player engagement, retention, and monetization. Develop and monitor critical metrics related to player engagement, retention, and monetization. Game Economy Design & Management: Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles. Provide economic insights to product and game operations teams to encourage growth and **improve** player experience. Share game economy standard methodologies and knowledge across the company. Game Economy Design & Management: Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles. Provide economic insights to product and game operations teams to encourage growth and **improve** player experience. Share game economy standard methodologies and knowledge across the company. Game Economy Design & Management: Game Economy Design & Management: Game Economy Design & Management: Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles. Provide economic insights to product and game operations teams to encourage growth and **improve** player experience. Share game economy standard methodologies and knowledge across the company. Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles. Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles. Provide economic insights to product and game operations teams to encourage growth and **improve** player experience. Provide economic insights to product and game operations teams to encourage growth and **improve** player experience. Share game economy standard methodologies and knowledge across the company. Share game economy standard methodologies and knowledge across the company. Data Science & Analytical Solutions: Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems. Develop simulations of player behavior to improve game design and feature development. Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines. Data Science & Analytical Solutions: Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems. Develop simulations of player behavior to improve game design and feature development. Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines. Data Science & Analytical Solutions: Data Science & Analytical Solutions: Data Science & Analytical Solutions: Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems. Develop simulations of player behavior to improve game design and feature development. Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines. Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems. Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complicated business questions and address exciting problems. Develop simulations of player behavior to improve game design and feature development. Develop simulations of player behavior to improve game design and feature development. Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines. Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines. Regardless of focus, you will be encouraged to: Regardless of focus, you will be encouraged to: Work closely with game teams to support their day-to-day data needs and the wider Product Madness community. Investigate arising in-game issues and data anomalies. Communicate results clearly and efficiently to varied audiences. Work closely with game teams to support their day-to-day data needs and the wider Product Madness community. Work closely with game teams to support their day-to-day data needs and the wider Product Madness community. Investigate arising in-game issues and data anomalies. Investigate arising in-game issues and data anomalies. Communicate results clearly and efficiently to varied audiences. Communicate results clearly and efficiently to varied audiences.
Requirements
- . Technical
Required Skills
Associate Game Data Analyst / Scientist / Economist
Aristocrat
Product Madness - Barcelona
Interested in this opportunity at Aristocrat?
Original job postingPosted 393 days ago