Senior Data Analyst
Electronic Arts is seeking a Senior Data Analyst to work in Hyderabad, India, to analyze data and provide insights to drive business decisions. The ideal candidate will have strong technical skills in data analysis and visualization, and experience working with large datasets.
Skills required
About this role
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
The Data & Insights (D&I) team transforms data into relevant insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partner across teams to improve decisions and create more meaningful player experiences.
The Senior Data Analyst will report to the Sr. Analytics Manager.
Responsibilities:
- Analyse player and product data to uncover patterns and recommend opportunities to improve performance, stability, automation and test coverage and bug metrics
- Build dashboards, reports, and visualisations that help stakeholders make better, faster decisions
- Work with partners to define the right questions to ask and the right data to use, helping embed data in daily decision-making
Qualifications:
- 3+ years of experience in data analysis or applied analytics, in gaming, mobile apps, or other digital products
- Proficiency in SQL for querying large datasets; experience with analysis and modelling in Python or R
- Experience with visualisation tools such as Looker, PowerBI
- Experience with or interest in using machine learning and generative AI tools to support analytics or player insights
- You will use storytelling to convert goals into analytical questions, and communicate results with practical recommendations and applicable steps.
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