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通用信息

地点:Vancouver, British Columbia, Canada 
  • 地点: Vancouver
  • 州:
  • 国家/地区: Canada


角色 ID
207324
工作人员类型
Regular Employee
工作室/部门
CTO - Frostbite
弹性工作安排
Hybrid

描述和要求

我们是一支全球化团队,由创作者、剧作家、技术专家、体验创作者和创新者等角色组成。我们相信,精彩的游戏与体验始于与玩家和社区同样多样化的团队。在 Electronic Arts,你的想象力是对你的唯一限制。

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 Production Systems team in our mission to ensure EA's game studios are empowered with effective workflows and performant tools. Your main responsibility will be to supply our partners with insights, dashboards, and data-driven workflows that help us improve our engine's user experience. This is a hybrid role with 3+ days a week onsite.


Responsibilities:

  • Empower Our Developers: Partner with the Production Systems team 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