Top Gaming Data & Analytics Jobs

The Gameplay Analyst analyzes data to improve game metrics, provides insights, develops dashboards, collaborates with teams, and conducts A/B testing.

As a Staff Data Analyst, you will lead high-impact analytics to shape content strategy, build data assets, and improve audience engagement and retention.

The Staff Data Analyst will lead analytical efforts to shape Crunchyroll's content strategy, develop measurement frameworks, and ensure data quality while mentoring other analysts.

The data analyst will enhance player engagement at Zynga, presenting insights, improving player experience, and supporting VIP outreach through data analysis.

Analyze retention marketing data, develop analytics tools, conduct A/B testing, and improve business strategies through insights and clear communication.

The Business Analyst will bridge business needs with technical solutions, focusing on process improvements, data analysis, project management support, and ensuring successful technology implementation across teams.

The Analyst II will analyze data to support responsible gaming initiatives, build dashboards and models, and ensure compliance and program health.

Lead consumer insights strategy for 2K's franchises by designing qualitative and quantitative market research, providing insights, and advising key business decisions.

As a CRM Promotions Analyst, you'll analyze promotional performance, report on budgets, forecast spend, and deliver insights on KPIs to improve customer retention and campaign efficiency.

The Manager, Business Analytics prepares operational reports, conducts statistical analysis, provides recommendations for revenue improvement, leads a team, and manages relationships with other departments.

Responsible for designing and managing data architecture and engineering solutions. Ensures data quality, builds data pipelines, and optimizes data operations for business insights.

The Product Insights Specialist will analyze metrics and KPIs to drive data-informed decisions, enhance product performance, and support operational efficiency through data storytelling and collaboration with teams.

The role involves analyzing data trends, applying machine learning techniques, and presenting findings to support data-driven decisions. Candidates must leverage various analytical tools and programming languages to drive insights from complex datasets.