Business Intelligence Leader
3 days ago
We are seeking an experienced Senior Manager, Analytics to lead a talented team of data analysts in understanding player needs, motivations, and pain points to drive game development and marketing innovation. This role will play a crucial part in supporting our Marketing and Strategy teams by providing player insights and recommendations based on rigorous primary and secondary research and data analysis.
About the Role:
You will oversee a team that works closely with games development and publishing teams to uncover insights and create actionable strategies for each R&D and unreleased game franchises, ensuring alignment with a bold, player-centric vision.
Key Responsibilities:
• Team Building: Cultivate a high-performance environment by leading a team of data analysts managing multiple projects and priorities in a fast-paced setting.
• Data Analysis: Delve into large, complex datasets to uncover actionable, player-focused insights that drive strategic decisions. Analyze player behavior, game performance, and trends to shape product strategies and optimizations.
• Analytics Roadmap: Work alongside cross-functional teams to create detailed analytics roadmaps tailored to specific game verticals. Define key metrics, establish data collection processes, and implement analytical frameworks for continuous improvement.
• Studio Collaboration: Collaborate closely with studio development and product teams to convert data insights into meaningful outcomes for players.
• Data Infrastructure: Partner with Data Engineering teams to ensure data is accessible and reliable.
• Mentorship: Mentor and guide junior team members in analytics best practices.
• Reporting: Lead or assist in identifying, developing, and tracking KPIs to support business initiatives across all levels of the organization.
Requirements:
This position requires 7+ years of business intelligence and analytics experience, including 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience. Experience with SQL, ETL, data visualization using Tableau, Quicksight, or similar tools, and statistical/machine learning software such as R, Python, Weka, SAS, Matlab is necessary. Preferred qualifications include working with very large data warehousing environments and having technical architectures, data modeling, infrastructure components, ETL/ELT, and reporting/analytics tools and environments experience.
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