Electronic Arts

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.

As a Sr Data Analyst in the EA Data & Analytics group, you will play a pivotal role in shaping the future of our mobile sports titles, including Madden Mobile and an innovative new basketball game in development. You will collaborate with development and business teams, reporting directly to a Senior Analytics Manager. You will work closely with developers to launch and refine new titles, while driving growth and engagement for our established games.  You will become an integral member of the Sports Analytics team, enhancing our analytics capabilities for both current and future mobile experiences.

Responsibilities:

• You will report to a Senior Manager under the Director of Sports Analytics for the Tiburon Studio.

• You will Collaborate with our Live Service team to establish key metrics and targets to measure program and content performance against expectations.

• You will receive questions from our partners, determine how our data can help answer them, and provide insights through reports, presentations, or dashboards.

• You will lead presentations to diverse audiences including senior management.

• You will help to shape and implement analytics best practices and our team vision

Qualifications:

• A degree in a quantitative discipline (Analytics, Data Science, Business, Statistics, Mathematics, Economics)

• 3+ years of experience in an analytics role performing quantitative analysis with big data to help guide decisions.           

• 1+ years of experience independently managing projects and building analysis plans with clear goals & timelines.         

• Expertise in SQL and ability to extract data from large data sources with differing structures.   

• Proficiency analyzing large datasets in programmatic analysis tools (e.g. Python, R)

• Experience with data visualization software (e.g. Tableau, PowerBI, Looker).

• Experience in statistical modeling (e.g. regression, clustering, predictive modeling).

  
  

Ceci ne s’applique pas au Québec. COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria)
  • $96,400 - $133,900 CAD

• California (depending on location e.g. Los Angeles vs. Sacramento)
  • $122,300 - $170,600 USD

• Colorado (depending on location e.g. Denver vs. Colorado Springs)
  • $111,800 - $151,800 USD

• Illinois (depending on location e.g. Chicago vs Illinois City)
  • $104,000 - $138,700 USD

• Minnesota (depending on location e.g. Minneapolis vs Saint Paul)
  • $104,000 - $138,700 USD

• Jersey City, NJ
  • $137,300 - $170,600 USD

• New York (depending on location e.g. Manhattan vs. Buffalo)
  • $104,000 - $170,600 USD

• Washington (depending on location e.g. Seattle vs. Spokane)
  • $104,000 - $174,700 USD

Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we 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.