This job might no longer be available.

Senior Manager, Analytics

Development Technology & Solutions - Quality Verification - Analytics

Development Technology & Solutions is a partner of EA Studios. They span four continents, bringing together diverse individuals passionate about their craft from across the globe. They partner in every development phase while improving their expertise to create greater experiences for players. DTS participates in creating some of the most beloved games and supports ongoing live services. Through technology, data-driven insights, and practices, they drive quality and directly impact players. They are a learning organization, sharing collaboratively and exploring innovative ways to solve challenges in creating amazing games for millions of players worldwide.

Reporting to the Senior Development Director, you will join our growing team leading data experts responsible for accurate data collection, processing, modelling, and analysis. You will partner with Quality Verification and game development teams to determine the reports and insights required to ensure quality games.

Your Responsibilities:

• Foster a creative and supportive team environment where careers flourish
• Build and evolve the team; identify resourcing needs, and monitor to achieve project outcomes
• Partner with team members and QV leadership to manage requirements, delivery, and quality
• Address conflicts or bottlenecks and align employee goals and team efforts with the company strategy
• Communicate with project team, leadership and partners; mobilize a continuous improvement mindset
• Lead the strategy and delivery of scalable reports and dashboards, ensuring reliable self-service analytics
• Partner to delivering training, improve processes and evolve the data maturity of the studios
• Identify opportunities to automate reporting and tasks to increase capacity for advanced analytics

Qualifications:

• 5+ years of experience leading an analytics team
• Bachelor's degree or higher in: Statistics, Computer Science or similar discipline
• Experience using data to contribute to product quality and project efficiency; effective at understanding dashboard and KPIs to support the business needs .
• Experience with SQL and programmatic data tools e.g. Python, R or related statistical tools as well as data visualization tools e.g. PowerBI, Looker, R Shiny
• Experience in various project management methodologies; ideally Scrum Master Certified and change leadership preferred .