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일반 정보

지역: Vancouver, British Columbia, Canada 
역할 ID
207325
근로자 유형
Regular Employee
스튜디오/부서
CTO - Frostbite
유연근무제
Hybrid

설명 및 참여 요건

당사는 크리에이터, 스토리텔러, 기술자, 경험 생산자, 혁신가 등으로 구성된 글로벌 팀입니다. 당사는 서비스를 제공하는 플레이어만큼이나 다양한 팀에서 놀라운 게임과 경험이 시작된다고 믿습니다. Electronic Arts에서 불가능은 없습니다.

EA's Frostbite Engine team is looking for a collaborative and experienced Senior Analyst to join our Analytics team. In this role, you'll report to our Analytics Product Manager and directly support Frostbite's Release team in our mission to ensure new Frostbite versions are highest quality for our game studios. Your main responsibility will be to supply our partners with insights, dashboards, and data-driven workflows that help us monitor and improve release health. This is a hybrid role with 3+ days a week onsite.


Responsibilities:

  • Empower Our Developers: Partner with the Release and Quality teams to understand their needs and challenges, and provide data-driven solutions
  • Build Understanding Through Data: Leverage data to understand the business, and identify opportunities and risks for important decisions
  • Perform Analysis: Carry out analytics projects from end to end in collaboration with the team: conceptualization, requirements gathering, analysis, iteration, and insights communication
  • Automate Recurring Needs: Build and support user-friendly reporting and workflows to handle routine asks and monitor metrics
  • Champion Data Quality: Work with engineers to specify raw data collection requirements and contribute to team efforts to improve data quality
  • Educate and Train: Teach users of varying data fluency how to use dashboards and access data, and help those less familiar understand how they can better use data
  • Support Your Teammates: Offer feedback and encouragement, create documentation, participate in peer reviews, ask for feedback, and mentor teammates


Qualifications:

  • 4+ years of experience working in a similar role
  • Demonstrated experience understanding business problems and applying relevant data-driven methods to solve them
  • Proficient in data transformation and advanced analysis using SQL and Python (or R)
  • Understanding of core statistics concepts such as probability, correlation, hypothesis testing, and causal analysis
  • Experience creating user-friendly dashboards and data visualizations in a tool such as Power BI, Looker, or Tableau
  • A bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative-oriented field