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Pricing Analyst

ENTERTAINING IS OUR PASSION

We’re EA - the world’s largest video game publisher. You’re probably familiar with many of our titles - Madden, FIFA, The Sims, Need for Speed, Apex Legends, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform - from social to mobile to console - to give our consumers that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your creative genius, be inspired by those around you and ignite your path in any direction you choose.

JOB DESCRIPTION

Main Purpose of the Role

Reporting to the Senior Pricing Manager, the Senior Pricing Analyst will support the definition of the global pricing strategy for EA Games Franchises analyzing internal and external data.

EA is a diverse and multicultural environment where you will have the opportunity to collaborate and interact with people all over the world.

This position is ideal for a professional with customer-level analytics experience and desire to learn and grow in business analytics (data-driven analysis and future data-based insights).

Key Duties and Responsibilities

• Support the monthly Franchise Review meeting
• Contribute to the development of Pricing analytics for EA Games Franchises
• Build a competition pricing report based on external dataset
• Communicate analytics data throughout the organization in a clear and succinct way
• Interface with the Franchise CSP leads on pricing topics
• Develop models to estimate the impact of the pricing strategy

Attitude/Knowledge required

• Solution oriented, creative problem solver
• A team player able to work collaboratively within the group and across business units/functions
• Eager to dig into data and willing to do the work required to compile and test the data
• Flexible and adaptable while maintaining positive attitude
• Self-starter with passion, energy, enthusiasm to drive results and changes

Skills required

• Bachelor’s degree required; MS/PhD preferred
• 1-2 years of business analytics experience
• Ability to run a variety of SQL queries
• Ability to code in Python
• Knowledge of Machine and Deep Learning
• Fluent English skills (written and oral)
• Presentation and communications skills (Create reports and presentations to share insights and learning with different stakeholder)

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