Data Analyst
Seoul, Seoul, South Korea
Electronic Arts
We exist to inspire the world through Play. Electronic Arts is a leading publisher of games on Console, PC and Mobile.We are looking for a Data Analyst to join our Data and Analytics team in Seoul, Korea. The Data Analyst will partner with core members in Studio to implement strategic priorities, solve complex analytical problems, and deliver business impact. We analyze diverse data generated by FC Online to provide essential insights for EA Korea Studio's game development and strategic plans. Comprised of diverse experts such as Data Analysts, Data Engineers, and User Researchers, we use our specialized expertise to deliver comprehensive and insightful analyses, supporting data-driven decision-making processes. You will report to the Senior Analytics Manager where your expertise in data analytics and visualization will help guide important decisions in a collaborative environment. You are a force multiplier for the team, collaborating with other analysts with your expertise in data analytics and visualization.
- Key Responsibilities
- You will design logs to analyze several user actions within the game.
- You will create insightful reports by analyzing data from different perspectives and deriving valuable insights.
- You will address requests from relevant studio partners through collection, refinement, analysis, and visualization of game data.
- You will analyze in-game player behaviors and deliver insights based on these analyses.
- Required Qualifications
- Minimum of 3 years of experience in data analysis or related fields.
- Deep interest or understanding of FC online games.
- Proficiency in programming languages for data analysis and processing, such as Python, SQL.
- Experience developing with Python-based visualization libraries (e.g., Altair, Plotly, Streamlit).
- Proficiency in English.
- Bachelor's degree in Engineering, Computer Science, or related fields; Master's preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Engineering Plotly Python SQL Streamlit
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