Electronic Arts
Montreal, QC
The Player & Quality Insights team focuses on understanding player behavior and designing player feedback events which help game teams develop high-quality games to meet our player's expectations. We are a data-driven team where every major decision starts with data analysis to find opportunity areas and to measure our efforts. As a Data Analyst, you will oversee and conduct the conversion of data into insights to lead to informed decisions. Reporting to a Senior Manager, Analytics, you will develop new methods to understand our players and directly influence the quality of our games.
Responsibilities:
- Work with partners to understand project goals and provide clear guidance regarding player behavior and player feedback event design.
- Evaluate and interpret data to find risks and opportunities and communicate them with your team and partners.
- Build statistical models and validate and improve the performance of these models over time.
- Develop scripts and queries to import, clean, transform, and enhance data.
- Prepare detailed reports and presentations that help your team identify areas of opportunity and provide insight to guide future playtest events
- Promote best practices in tools and visual technologies for building project dashboards that provide important data for project monitoring.
Qualifications:
- 2+ years of work experience in a past analytical role, using data to guide process improvements.
- Bachelor's degree in a technical field or completion of post-secondary level Math and Statistics courses.
- Excellent foundation of math and statistical knowledge including an understanding of probability, correlation, regression, classification, and the development of statistical models.
- Proficient in SQL and ability to extract data from large data sources with differing structures.
- Proficient in software tools like Power BI or Tableau to create easy-to-understand data visualizations.
- Experience with the Agile/Waterfall processes.
- Experience presenting and prioritizing with people at multiple levels of business and technical expertise.
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