Senior Manager, Analytics, EA Mobile
Location: Los Angeles (Hybrid)
About Team
The EA Mobile Analytics team leverages data to drive smarter decisions across our mobile portfolio. We partner with game teams to translate player and business insights into action, powering personalization, experimentation, analytics, and AI-driven solutions.
By joining EA Mobile, you’ll help enable deeper player understanding, stronger live services, and more meaningful mobile experiences.
The Role
We are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across all EA Mobile titles currently live and in development. You will manage a small team of analysts, helping guide product decisions, player personalization efforts, and live service strategy through data.
This is a people leadership role with hands-on expectations. You will partner closely with product managers, game designers, and engineering leads to define the role of data in building player-first mobile experiences.
Key Responsibilities
Hire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team culture
Lead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for mobile titles
Analyze behavioral data to identify and communicate opportunities to improve acquisition, engagement, retention, and monetization
Collaborate with cross-functional teams to bring data into the product development process and inform roadmap prioritization
Guide the development and application of machine learning models to personalize player experiences and predict player behavior
Define and execute experimentation strategies, including A/B testing and causal inference methods, to validate product changes and improve outcomes
Evaluate and apply generative AI tools to improve team productivity and automate insight generation where appropriate
Support data enablement efforts by promoting self-service tools and helping team members and partners ask better questions and apply data effectively
What you Bring
5+ years of experience in analytics or data science
2+ years of experience managing people, with a focus on performance development and team building
Strong communication skills, with the ability to present complex topics clearly to diverse audiences
Strong SQL skills and experience using Python and/or R for data analysis, modeling, or automation. Experience with BI tools such as Looker/Tabelau/PowerBI
Deep understanding of statistical methods such as regression, classification, forecasting, and causal inference
Experience applying machine learning techniques to real-world product or player problems
Familiarity with experimentation design, execution, and interpretation (e.g., A/B and multivariate tests)
Interest in applying generative AI to analytics workflows and increasing team leverage through automation
Location: Los Angeles (Hybrid)
About Team
The EA Mobile Analytics team leverages data to drive smarter decisions across our mobile portfolio. We partner with game teams to translate player and business insights into action, powering personalization, experimentation, analytics, and AI-driven solutions.
By joining EA Mobile, you’ll help enable deeper player understanding, stronger live services, and more meaningful mobile experiences.
The Role
We are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across all EA Mobile titles currently live and in development. You will manage a small team of analysts, helping guide product decisions, player personalization efforts, and live service strategy through data.
This is a people leadership role with hands-on expectations. You will partner closely with product managers, game designers, and engineering leads to define the role of data in building player-first mobile experiences.
Key Responsibilities
Hire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team culture
Lead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for mobile titles
Analyze behavioral data to identify and communicate opportunities to improve acquisition, engagement, retention, and monetization
Collaborate with cross-functional teams to bring data into the product development process and inform roadmap prioritization
Guide the development and application of machine learning models to personalize player experiences and predict player behavior
Define and execute experimentation strategies, including A/B testing and causal inference methods, to validate product changes and improve outcomes
Evaluate and apply generative AI tools to improve team productivity and automate insight generation where appropriate
Support data enablement efforts by promoting self-service tools and helping team members and partners ask better questions and apply data effectively
What you Bring
5+ years of experience in analytics or data science
2+ years of experience managing people, with a focus on performance development and team building
Strong communication skills, with the ability to present complex topics clearly to diverse audiences
Strong SQL skills and experience using Python and/or R for data analysis, modeling, or automation. Experience with BI tools such as Looker/Tabelau/PowerBI
Deep understanding of statistical methods such as regression, classification, forecasting, and causal inference
Experience applying machine learning techniques to real-world product or player problems
Familiarity with experimentation design, execution, and interpretation (e.g., A/B and multivariate tests)
Interest in applying generative AI to analytics workflows and increasing team leverage through automation