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We evolve our games and how players interact with them by leveraging the power of data to continuously uncover insights to deliver an even better player experience. We strive to be the best-in-class AI team in the gaming industry by maximizing the fun for EA players through easier deployment of AI-driven solutions for game makers. Our insights are ubiquitous through autonomous analytics.
We're hiring a Senior Analyst for our Data and Analytics team, where our job is to use statistical skills, research methodologies, and data analysis to represent the voice of the player. Reporting to a Senior Analytics Manager, you will partner with developers across a portfolio of titles to provide impactful analysis with relevant takeaways. In addition to working with our studio partners, you will also have opportunities to collaborate and share with other data experts among the larger data analytics community at EA. As a team of analysts and researchers, we understand how important teaching, learning, and growth are.
Responsibilities:
- Champion analytics projects from the conceptual stages through communication of results and recommendations
- Use player data to perform behavioral analysis, clustering analysis, predictive modeling, hypothesis testing, and more
- Utilize third-party data to make inferences about the competitive landscape and inform decision-making
- Partner with designers, product managers, producers, and engineers to establish the data needed from a game to understand how players engage with its features and systems
- Engage with peers to develop and share best practices, and establish subject matter expertise in core game analytics
- Develop dashboards and visualizations to monitor for important game features and business health, applying automation and insights when relevant
- Support game launch and live operation of titles by testing and reporting on acquisition, engagement, retention, and monetization funnels
Requirements:
- 3+ years of experience applying quantitative or statistical methods to produce insights from data
- Experience presenting technical findings to audiences with varying backgrounds
- SQL proficiency and the ability to extract data from large data sources with differing structures
- Proficiency with a statistical analysis tool (such as R or Python) to perform analysis
- Proficiency with a data visualization tool (such as Looker) to build clear, user-friendly data visualizations, tables, and dashboards
- Familiarity with version control and reproducible research best practices
Ceci ne s'applique pas au Québec.
BC COMPENSATION AND BENEFITS
The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location. EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.
BASE SALARY RANGES
- British Columbia (depending on location e.g. Vancouver vs. Victoria): º $77,600 - $130,500 CAN Annually
Base salary is just one part of the overall compensation at EA. We also offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
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