Marketing Analytics - Lifecycle Internship

Must be in the Redwood Shores, California area - Relocation is not supported for this role.

The EA Fan Intelligence Data and Analytics Team is looking for a summer intern to support our lifecycle program at our EA Headquarter in Redwood Shores, CA, reporting to the Director of Franchise Analytics. We are looking for someone who is interested in learning more about the marketing world, digging into diverse data sets related to our marketing campaigns, applying leading edge data analytics techniques, extracting insights, creating data visualizations, and communicating recommendations to our marketing partners.

What you will do:

• Gain a good understanding of key marketing metrics that we use to evaluate the success of our campaigns, especially lifecycle marketing program
• Work with marketing partners to understand their needs and deliver data analysis to support decision-making that leads to improved marketing performance
• Approach analyses with structured, strategic thinking to design a plan before digging into data.
• Select, process, and explore data from an array of internal and third-party data sources to find the signal in the noise.
• Create presentations with crisp data visualizations to tell compelling data stories to partners and influence the business.
• Collaborate across a global network of colleagues, with teamwork as a priority.
• Manage multiple projects involving complex data collection, analysis and application.
• Build on your enthusiasm for continuous learning and improvement.

Your Profile:

• Curious and creative, you enjoy exploring data and finding the next big opportunity.
• Strong analytical, problem-solving, and critical thinking skills.
• Able to operationalize abstract questions into a quantitative investigation and tackle them in a data-driven manner.
• Strong communication skills - regular project updates, communication with and across teams, and analytical “storytelling” - distilling quantitative insights into easy to digest and intuitive presentation form.
• Ability to work collaboratively as a team, and with other teams spread globally.
• You have the enthusiasm and motivation to challenge thinking and promote meaningful change.
• You view challenges as opportunities and enjoy solving problems and removing obstacles.

Background and Technical Skills:

• Currently pursuing a Bachelor’s or Advanced degree in STEM (Science, Technology, Engineering, and Math) field or economics
• Experience with analytics project is a plus
• Knowledge of statistics, probability, hypothesis testing, and experimental design is a plus.
• Some SQL or R statistical programming (or equivalent) is a plus