Hybrid Expert Data Analyst presso Electronic Arts

At PQI, we harness the power of data to improve player experiences across our games. As an Expert Data Analyst, you won't just report on metrics—you'll shape product strategy, influence game design and lead innovation. You'll work with developers, designers, researchers, and product leaders to uncover meaningful insights into player behaviour and quality signals, ensuring our games resonate with players around the world. This is a hybrid role offering flexibility to work remotely or on-site, depending on project needs. You'll be part of a passionate, collaborative team that values curiosity, creativity, and impact. We offer the autonomy to explore bold ideas, the support to grow your expertise, and the opportunity to make a lasting difference in how players experience our games. This role will be reporting to Director, PQI Data.What You'll DoLead the analytical strategy for important game features and player experience projects, aligning insights with product vision and team goals.Design and implement advanced frameworks to evaluate player behaviour, feedback systems, and quality metrics across multiple titles.Mentor analysts across the team, promoting excellence in data storytelling, experimentation, and visualisation.Partner with game teams, UX researchers, and product managers to translate insights into relevant decisions.Build scalable data pipelines and dashboards that support real-time decision-making and long-term planning.Champion data quality, governance, and ethical use of player data across all analytics efforts.What We're Looking For8+ years in data analytics, with proven experience in gaming, tech, or consumer insights.Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics)Expertise in statistical modelling, experimental design, and behavioural analytics.Advanced SQL experience working with complex datasets.Proficiency in data visualisation tools (Power BI, Tableau, or similar) and dashboard design.Bonus: Experience with Python or R, machine learning techniques, or real-time analytics platforms. Candidarsi ora