Senior Data Analyst

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Hyderabad, Telangana, IndiaRedwood City, CA
Posted: 16 days ago
Nearby: 13 roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $165k

$108k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $130,375–$198,987.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 127 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 76 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · Senior Data Analyst

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The Senior Data Analyst role at Electronic Arts involves collaborating with cross-functional teams to enhance player experiences and drive business outcomes through data analysis. Reporting to the Manager of Analytics, you will analyze player and product data to identify patterns and recommend improvements in performance, stability, automation, and test coverage. You’ll build dashboards and visualizations using tools like Looker or PowerBI to aid decision-making, contribute to predictive models with Python or R, and explore generative AI for scalable insights. The ideal candidate has 3+ years of data analysis experience, proficiency in SQL, and a strong ability to translate business needs into technical requirements while effectively communicating findings to both technical and non-technical stakeholders.

Skills

SQL Python R Looker PowerBI machine learning generative AI CI/CD

What you'll do

Analyze player and product data to identify patterns and suggest improvements.
Create dashboards, reports, and visualizations for better decision-making.
Develop predictive models using machine learning to enhance player experiences.
Utilize generative AI tools to boost work efficiency and scalability.
Collaborate with teams to define questions and data needs for informed decisions.

What we're looking for

3+ years of data analysis or applied analytics experience in gaming, mobile apps, or digital products.
Proficiency in SQL and experience with Python or R for data analysis and modeling.
Experience using visualization tools like Looker, PowerBI to build dashboards and reports.
Ability to translate business needs into technical data requirements and communicate findings effectively.
Interest or experience with machine learning and generative AI tools for analytics and player insights.
Strong problem-solving skills and the ability to independently manage tasks and deliverables.

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