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通用信息

地点:Hyderabad, Telangana, India 
角色 ID
214823
工作人员类型
Regular Employee
工作室/部门
EA Mobile - Slingshot Games (India)
弹性工作安排
Hybrid

Description & Requirements

Electronic Arts 打造更高层次的娱乐体验,激励世界各地的玩家和粉丝。在这里,每个人都是故事的主角。活跃社群,畅联全球。这里充满创造力,鼓励新观点,注重好创意。这是一支人人都能让游戏成为现实的团队。

Role: Product Analyst
Location: Hyderabad, India


Role Overview

We’re looking for a Product Analyst to support analytics and player insights for The Sims Franchise. In this role, you will partner closely with product managers, designers, engineers, and other analysts to help guide product decisions through data-driven insights. You will analyze player behavior, monitor game health, evaluate live service performance, and build scalable analytical solutions that improve player experiences and operational effectiveness.

This role is ideal for someone who is passionate about games, thrives in a collaborative environment, and enjoys solving complex problems using data.

What You’ll Do

  • Analyze and monitor game health metrics to improve player experience.
  • Write and maintain complex SQL queries and scripting workflows to extract, transform, validate, and analyze large-scale telemetry datasets.
  • Build dashboards, reports, and self-serve analytical tools that help teams monitor operational performance and identify meaningful trends in player and system behavior.
  • Explore player behavior patterns and gameplay systems to identify opportunities to improve engagement and overall gameplay experience.
  • Design, implement, and analyze A/B tests to evaluate gameplay features and player experience improvements using statistical methods.
  • Perform statistical analyses and modeling to uncover actionable insights that support live operations and product decisions.
  • Partner with Product and Engineering teams to define telemetry instrumentation, success metrics, KPIs, and analytical frameworks for gameplay features and live operations initiatives.
  • Validate datasets, measurement methodologies, and reporting outputs to ensure analytical accuracy, consistency, and reliability.
  • Identify opportunities to automate recurring analyses, reporting workflows, and operational monitoring processes to improve scalability and efficiency.
  • Translate ambiguous business questions into structured analyses, actionable recommendations, and measurable outcomes.
  • Present analyses, insights, and recommendations to technical and non-technical stakeholders in a clear, concise, and impactful way.
  • Partner with Product, Design, Engineering, and Data Engineering teams to ensure reliable analytics pipelines and scalable reporting solutions.
  • Continuously develop a deep understanding of The Sims ecosystem, player motivations, live-service operations, and business priorities.
  • Stay current with industry trends, analytics methodologies, player behavior patterns, and live-service best practices.

What You Bring

  • 2–4 years of experience in an analytics or product analytics role performing quantitative analysis to guide business or product decisions.
  • Strong SQL skills with experience extracting and analyzing data from large and complex data sources with differing structures.
  • Hands-on experience with data mining, machine learning, or statistical modeling techniques.
  • Experience designing, analyzing, and interpreting A/B tests, including determining statistical significance.
  • Experience with data visualization and BI tools such as Tableau, Power BI, or Looker.
  • Proficiency in programmatic analytics tools such as Python or R, including writing scripts for data extraction, transformation, and analysis.
  • Strong communication and presentation skills, with the ability to simplify complex technical concepts for diverse audiences.
  • Experience influencing stakeholders and driving data-informed decision-making across teams.
  • Strong analytical thinking, curiosity, and problem-solving skills.

Nice to Have

  • Passion for gaming, mobile gaming, and The Sims franchise.
  • Experience working with live-service games, telemetry systems, or player behavioral analytics.
  • Familiarity with large-scale data platforms and operational analytics environments.
  • Familiarity with AI-assisted analytics workflows, generative AI tools, or emerging AI technologies that improve analytical efficiency and insight generation.


Electronic Arts
我们拥有全面的游戏组合和丰富的体验,在世界各地设有分支机构,而且在整个 EA 提供大量机会。我们非常重视适应能力、韧性、创造力和好奇心。我们提供领导岗位让您发挥潜力,为学习和尝试提供空间,赋能您出色地完成工作并寻求成长的机会。

我们对福利计划采用整体方法,强调身体、情感、财务、职业和社区健康,以支持平衡的生活。我们的套餐专为满足当地需求而量身定做,可能包括医疗保险、心理健康支持、退休储蓄、带薪休假、家事休假、免费游戏等。我们营造和谐的环境,让各个团队始终都能尽展所能。

Electronic Arts 是一个注重机会平等的雇主。在聘用员工时不会考虑其种族、肤色、国籍、血统、生理性别、社会性别、性别认同或表达、性取向、年龄、遗传信息、宗教、身心障碍、医疗状况、怀孕状况、婚姻状况、家庭状况或兵役状况,或任何受法律保护的其他特征。我们也会遵守相关法律,考虑招聘有过犯罪记录的合格应聘者。EA 还会根据适用法律的要求,为合资格的残障人士提供工作场所的便利。