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Informații generale

Locații: Vancouver, British Columbia, Canada 
  • Locație: Toronto
  • Stat:
  • Țară: Canada

  • Locație: Edmonton
  • Stat:
  • Țară: Canada


ID rol
208096
Tip muncitor
Regular Employee
Studio/Departament
CTO - Studio Data Insights
Aranjament flexibil de lucru
Off Site

Descriere și cerințe

Suntem o echipă globală de creatori, povestitori, tehnologi, inițiatori de experiențe, inovatori și multe altele. Credem că jocurile și experiențele uimitoare încep cu echipe la fel de diverse precum jucătorii și comunitățile pe care le deservim. La Electronic Arts, singura limită este imaginația dumneavoastră.

We are excited to be looking for an advanced analyst to join our Battlefield Analytics team to lead critical insights about our players, their motivations, to inform critical decisions about gameplay and user generated experiences (UGX) in Battlefield.

You will use your expertise in analytics to power in-game decisions and lead insights to improve metrics related to player acquisition, engagement, retention and gameplay experience. You will report directly to the Director of Battlefield Analytics and be a part of a future focused analytics organization.

Responsibilities:

  • You will use your expertise in analytics to analyze high volumes of data to gain insight into Battlefield player behavior to propose recommendations for targeted modes and experience with UGC tools.

  • Perform advanced statistical analyses on gameplay and engagement data 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

  • Support teammates in Product and Design and apply soft skills to communicate complex information into top quality insights that drive decision making

Qualifications:

  • 6+ years experience in Analytics/Data Science or a combination of Master's and Ph.D in Economics, Statistics, Mathematics, Computer Science or another quantitative field

  • 6+ years of professional experience manipulating data sets, analyzing consumer behaviors, building statistical models with a demonstrated experience applying analytical or data science methodologies to real-world problems

  • Familiarity with at least one scripting language: R, Python, or Scala

  • Experience with any of the following is a big plus: Google Cloud Platform, Looker