Electronic Arts

Data Analyst - FC Live Service

Our FC Data & Analytics team is looking for a Data Analyst to support our Live Service group. Reporting to a Senior Data Analyst, you'll be part of a growing group working with the franchise's production and technical teams. We're looking for someone with experience analyzing business impacts in a live production environment, building dashboards and other solutions for early detection and reporting. You'll be a data investigator, explorer, visualizer, and designer. Examples of projects you may work on include: investigating live incidents to understand their impacts and identify their root causes, developing metrics and dashboards to monitor our live service health, exploring data quality issues to ensure we're accurately capturing data on our live service health, and helping the production team to build and tune features using a data-driven approach.

What you'll do on our team:

• Utilize data to improve player Connection Quality explained here

• Receive questions from our partners, determine the best ways that our data can help answer them, and provide those insights through dashboards, reports, or presentations.

• Investigate how the online gameplay experience is impacted through metrics such as online connectivity, matchmaking quality, error rates, and beyond.

• Create dashboards and reports that enable our team and our partners to identify trends in our data.

• Explore user behavior patterns to identify opportunities to improve the player experience.

• Develop insights to help our partners make informed decisions about FC's live operations.

• Present analyses and findings to our partners in a clear and understandable way.

What we're looking for:

• A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field.

• 2+ years of experience in an analytics role performing quantitative analysis with big data to help guide decisions.

• Experience in SQL and ability to extract data from large data sources with differing structures.

• Experience with data visualization software (e.g. Tableau, PowerBI).

• Proficiency analyzing large datasets in programmatic analysis tools (e.g. Python, R).