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Associate game data analyst / scientist / economist

Barcelona
Indefinido
Product Madness ??
Economista
Publicada el 4 agosto
Descripción

Join to apply for the Associate Game Data Analyst / Scientist / Economist role at Product Madness

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Join to apply for the Associate Game Data Analyst / Scientist / Economist role at Product Madness

The Opportunity :
We are seeking talented and data-driven individuals to join our growing data teams in Barcelona. This entry-level role offers the opportunity to start your data career and gain experience across a variety of data departments:

* Data Analytics
* Data Science
* Game Economy
The Opportunity :
We are seeking talented and data-driven individuals to join our growing data teams in Barcelona. This entry-level role offers the opportunity to start 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:
o Analyze player behavior, engagement patterns, and user experience data using statistical techniques, machine learning, and exploratory data analysis.
o Identify trends, uncover user segments, and provide actionable insights to optimize existing features and inform new game development.
o Develop and monitor critical metrics related to player engagement, retention, and monetization.
* Game Economy Design & Management:
o Design, configure, monitor, and optimize the economy of game features and events, including defining pricing for purchasable items and collectibles.
o Provide economic insights to product and game operations teams to support growth and **improve** player experience.
o Share game economy standard methodologies and knowledge across the company.
* Data Science & Analytical Solutions:
o Develop and implement analytical techniques, statistical models, causal inference, or machine learning models to answer complex business questions and address exciting problems.
o Develop simulations of player behavior to improve game design and feature development.
o Collaborate with data engineering to implement in-game tracking and build end-to-end data pipelines.
Regardless of focus, you will be expected to:
* Work closely with game teams to support their day-to-day data needs.
* Share your findings with game teams and the wider Product Madness community.
* Investigate arising in-game issues and data anomalies.
* Communicate results clearly and effectively to varied audiences.
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
None
Additional 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.

Seniority level

* Seniority level

Entry level

Employment type

* Employment type

Full-time

Job function

* Job function

Information Technology
* Industries

Computer Games

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