Electronic Arts

We evolve our games and how players interact with them by using 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 are looking for an Advanced Analyst to join our Data and Analytics team supporting In-Game Experiences Reporting to the Senior Analytics Manager. You will work with partners to understand player engagement, performance, and to identify product growth opportunities. You will use your skills to provide data-driven solutions to complex problems, translate qualitative/quantitative data into insights, and create recommendations to steer the product roadmap.

WHAT YOU'LL DO:

• Collaborate with product, design, and engineering to deliver insights into user behaviour and to guide product decisions
• Develop best practices for experimentation and recommend initiatives to improve the experimentation program
• Shape the experimentation roadmap, prioritizing impact and improving the user experience 
• Perform advanced statistical analyses to identify trends, patterns, and provide actionable insights
• Develop dashboards and self-serve tools to communicate findings and performance metrics to our partners and encourage the use of data in product decisions
• Identify opportunities for process improvements, automation, and the implementation of advanced analytics techniques
• Communicate results and findings throughout the organization to all levels of leadership
• Provide direction to junior analysts to ensure quality, clarity, and development of their analytics skills

Qualifications

• 6+ years of experience providing insights from data to guide optimization in product development
• University Degree in Statistics, Marketing, Business, E-commerce or related field of study
• Proficient in SQL and Python (or equivalent)
• Experience in data analysis, statistics, and experimentation
• Experience with data visualization tools (Looker, Power BI, Tableau)
• Storytelling skills for presenting technical findings to audiences with varying backgrounds