Advanced Data Analyst - EA Sports FC Live

Electronic Arts is seeking an Advanced Data Analyst to join the FC Data & Analytics team, leading forecasting and performance modelling for FC's live service business. The successful candidate will report to a Senior Analytics Manager and provide data and insights around player behaviour and live content performance within the FC franchise.

Responsibilities:

• Own the forecasting framework that underpins performance measurement, planning, and strategic decision-making across FC's live service business.
• Employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases.
• Develop a robust model that projects live service funnel metrics to a high degree of fidelity, incorporating player behaviour, in-game content, and macroeconomic trends.
• Collaborate with partners across Product Management, Finance, and Commercial teams to align on projections, and keep the business updated on how latest live service performance impacts model's assumptions.
• Establish scalable forecasting processes that enable efficient refinement of projections over time.
• Lead presentations to diverse audiences, distilling complex model results into clear insights and recommendations.
• Run risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product.
• Mentor and collaborate with other analysts to develop forecasts and drive evolutions in modelling.

Requirements:

• Degree in a quantitative discipline (Analytics, Statistics, Mathematics, Economics, Finance, or similar).
• 7+ years of experience in a data-driven role performing quantitative analysis with big data.
• 4+ years of experience developing financial/product performance projections and forecasts using various modelling techniques.
• Strong experience in statistical and/or time series modelling for predictive purposes.
• Expertise in SQL and working with large-scale, complex datasets.
• Proficient in analyzing large datasets using programmatic tools (e.g., Python, R).
• Experience with data visualization software (e.g., Tableau, PowerBI).
• Strong capabilities in project management processes.
• Comfortable presenting analysis in an executive-facing environment.