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Informacje ogólne

Lokalizacje: Austin, Texas, United States of America 
  • Właściwość miejscowa: Austin
  • Stan:
  • Kraj: United States of America


Identyfikator roli
201242
Typ pracownika
Intern - Temporary Employee
Studio/dział
Marketing
Elastyczna organizacja pracy
Hybrid

Opis i wymagania

Jesteśmy globalnym zespołem twórców, scenarzystów, technologów, inicjatorów doświadczeń, innowatorów i wielu innych ekspertów. Wierzymy, że niesamowite gry i doświadczenia zaczynają się od zespołów, które są równie zróżnicowane jak gracze i społeczności, którym służymy. W Electronic Arts jedynym ograniczeniem jest wyobraźnia.

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.