Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.
We are looking for an experienced, motivated, Analytics Engineer to join us on the Skate team as an embedded partner within the Full Circle studio. You will lead data modelling, develop our semantic layer, and create self-serve insights solutions through scalable, standardized, and performant BI tools.
You will report to Skate's Director of Analytics in the D&I organization and work with analytic and product teams to build systems that scale and support fast decision-making in a live-service game.
You will also use modern engineer tools, cloud technologies, and AI as part of your workflow to create new opportunities and evolve how we work.
Main Responsibilities
You will lead end-to-end data-modelling and transformation, building scalable, reusable systems layers to create self-serve reporting solutions to influence decisions
You will apply AI tools to innovate workflows and oversee solutions that unify data and insights across tools (e.g. dashboards, custom web apps, Looker, Streamlit, Google Slides, Jupyter)
You will define standards in dashboard design, data-modelling, and quality to ensure reliable high-quality analytics experiences
You will work with partners to create the right analytics solution, and collaborate with analysts, data engineering, and architecture teams; build dashboards where needed
Required Qualifications
5+ years of relevant industry experience in analytics, BI, or data-focused roles
Fluent in SQL for big data (e.g. terabyte-scale), experience working in cloud data warehouses (e.g. BigQuery)
Familiarity with data modelling, testing, and transformation at scale
Experience with visualisation tools (e.g. Looker)
Proficiency in end-to-end dashboard performance tuning, including concepts like caching, table structure optimization, and application of visual design best practices
Experience and interest using AI to accelerate your work
Beneficial to Have
Experience in the video game industry
2+ years working experience with Python or JavaScript
Experience working with unstructured datasets
Experience in the physical and logical design of database architecture for relational databases, data warehouses and data lakes
Web development experience (HTML, React)
Looker (LookML or administration) experience
Proficiency with git-based source control tools and CI/CD pipelines
Experience with automated deployment tools (e.g. Docker, Airflow)