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Advanced Data Analyst - FC Live Service Forecasting - Electronic Arts
Data Analyst
Lead advanced forecasting for EA Sports FC Live, leveraging Python, SQL, and machine learning to drive data‑driven decisions and optimize player engagement across the live service ecosystem.
About the role
Key Responsibilities
- Develop and maintain robust forecasting models for player activity, revenue, and content usage across the FC Live service.
- Collaborate with product, engineering, and analytics teams to define key metrics, data pipelines, and model validation processes.
- Translate complex data insights into actionable recommendations for game design, monetization, and player retention strategies.
- Automate data extraction, cleaning, and reporting workflows using SQL, Python, and cloud data platforms.
- Present findings to senior stakeholders through clear visualizations and concise executive summaries.
Requirements
- 5+ years of experience in data analysis or predictive modeling within a gaming or digital services environment.
- Proficiency in Python (pandas, scikit‑learn, statsmodels) and SQL for data manipulation and model deployment.
- Strong background in statistical forecasting techniques (ARIMA, Prophet, time‑series decomposition) and machine learning algorithms.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent communication skills and ability to translate technical results into business impact.
Skills
pythonsqlmachine learning