Requisition Number:184001Can this position be remote?: Yes
We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.
Senior Analyst, Mobile Technology & Analytics
Location: UK
At EA, we exist to Inspire the World to Play. Creating transformational experiences requires constant innovation and passionate people. We are developing extraordinary new game experiences by bringing together great people that combine creativity, technology, and expertise to deliver new ways to play.
We are looking for a senior analyst to join the Mobile Analytics team. You will be working with the Mobile Casual group (MoCa) as an embedded studio analyst working with SimCity BuildIt, Design Homes and an unreleased prototype. As a Senior Analyst within MoCA, you’ll be handed the keys to massive volumes of granular player behavioral data and responsible for deriving insights that meaningfully inform game design, feature prioritization, and product development.
Key responsibilities
1. Conduct in-depth analysis and modeling to uncover hidden opportunities for product improvement; communicate insights to product, business and management teams
2. Design and analyze A/B tests to help optimize product performance and guide development strategy
3. Build, maintain and evangelize behavioral models; improve existing methodologies, systems and processes
4. Contribute in our team’s data democratization and education effort: teach power users how to use dashboards and access data. Help those who are less familiar understand the right questions to ask, and how they can better use data to inform their decision-making.
5. Communicate findings to stakeholders on multiple levels.
Qualifications:
6. 3+ years experience in a similar role at a top gaming, internet, technology, or consulting company with a focus on users and user experience
7. Passion for games and data
8. Strong foundation in math; deep statistical knowledge including an understanding of probability, correlation, regression, and classification. Understanding and/or experience with machine learning and other AI methodologies is a plus.
9. Statistical programming languages (R, Python)
10. Data Visualization (Preferred: Looker, Looker studio, Redash)
11. Advanced SQL
12. Knowledge of Data Processing tools (redshift, snowflake, Hadoop/Hive, Google big query )
13. Degree in mathematics, statistics, economics, computer science or similar technical field.
At EA, we thrive on outrageous thinking. It's the fuel that inspires the best games in the world. We're a community of artists, storytellers and technologists working in one of the most dynamic industries around.
We’ve built a fun, productive and passionate team who are rewarded with great compensation packages and great benefits such as shares, pension scheme, healthcare, gym contribution, free games and endless snacks and drinks in the office!
About Electronic Arts
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.