Electronic Arts

We're hiring an Advanced Analyst for our Data and Insights team, where our job is to use statistical skills, research methodologies, and data analysis to represent the voice of the player. Reporting to a Director of Analytics, you will work with senior leadership to shape strategy and inform key decisions across a portfolio of ARPG titles. You will be expected to contribute across multiple live and in-development titles, gaining rapid context and balancing shifting priorities for diverse project teams. In addition to working with our studio partners, you will also 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:

• Partner with senior leadership and executives to establish, prioritize, and execute research and analytics roadmaps that directly impact game and studio-level decision making

• Contribute across multiple titles within the portfolio, rapidly building context and balancing shifting priorities to deliver high-impact analysis for a variety of teams

• 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 important game features and business health, applying automation and insights when relevant

Requirements:

• 5+ years of experience applying quantitative or statistical methods to produce insights from data

• Demonstrated ability to influence senior stakeholders, navigate competing perspectives, and drive alignment through clear, confident communication

• Proven ability to work across multiple titles simultaneously, manage competing priorities, and adapt in a fast-paced, evolving development environment

• 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