Mergeți la conținut

Informații generale

Locații: Austin, Texas, United States of America 
  • Locație: Austin
  • Stat:
  • Țară: United States of America


ID rol
201242
Tip muncitor
Intern - Temporary Employee
Studio/Departament
Marketing
Aranjament flexibil de lucru
Hybrid

Descriere și cerințe

Suntem o echipă globală de creatori, povestitori, tehnologi, inițiatori de experiențe, inovatori și multe altele. Credem că jocurile și experiențele uimitoare încep cu echipe la fel de diverse precum jucătorii și comunitățile pe care le deservim. La Electronic Arts, singura limită este imaginația dumneavoastră.

Fan Intelligence Analytics Intern, Marketing Data Analytics

Location: Austin, Texas  - Relocation is not supported for this role

We are looking for a December 2025 grad to join the Fan Intelligence - Data & Analytics team as a Marketing Data Analytics Intern, reporting to a Lead Analyst. 

 

As a Marketing Data Analyst Intern, you will take ownership of a key project aimed at analyzing and optimizing media spend, marketing performance, and player behavior within our Fan Intelligence ecosystem.

 

You will work closely with cross-functional teams, leveraging data to provide actionable insights that drive marketing strategy and player engagement. This role offers a hands-on opportunity to develop your analytical skills, explore trends in media effectiveness, and contribute to shaping the future of fan engagement.

 

What you will do:

 

  • Own and drive a project that will require you to:
    • Extract, transform, and process data from multiple internal and external sources.
    • Perform exploratory analysis on the data using different analytical and statistical methodologies.
    • Leverage machine learning or predictive modeling to explore relationships between variables.
    • Develop automated dashboards and visualizations to effectively communicate insights that drive data-driven business decisions.
    • Take initiative and become an expert on the subject matter, driving the project with minimal supervision and proactively seeking out solutions to challenges.
    • Collaborate with other analytics and fan-oriented teams to help guide project goals, supplant learnings, and explore additional opportunities.
  • Apply critical thinking and problem-solving skills to tackle complex challenges, identify root causes, and propose innovative solutions.
  • Communicate and present final findings to key stakeholders, leadership team, and the wider EA community via the intern fair.
  • Provide ad-hoc support for any unplanned needs related to our operations.
  • Be a part of our team culture: attend team meetings, team activities, and company events. Get to know the team and organization as you intern!

 

Your profile:

 

  • Curious and creative, you enjoy exploring data and finding the next big opportunity
  • You have the passion and enthusiasm to push projects forward and produce meaningful, impactful insights that will drive decision-making.
  • You like working on complex challenges in complicated environments.
  • You view challenges as opportunities and enjoy solving problems and removing obstacles others see as insurmountable.

Background and Technical skills

 

  • Currently pursuing an advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Knowledge-of and practical experience with statistics, probability, and hypothesis testing.
  • Experience applying quantitative methods to solve problems in a data-driven manner.
  • Proficiency with SQL for data extraction, transformation, and manipulation
  • Proficiency with R or Python for data analysis and visualization. 
  • 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 in a globally spread organization – including team members, partners, and stakeholders.
  • Experience with web scraping and data mining is a plus.
  • Advanced statistics and computational skill is a plus - e.g. modeling, machine learning, programming.