Senior Gaming Business Analyst

Position Overview:

Senior Gaming Business Analyst is a critical position driving data-driven decision-making, optimizing business performance, and shaping the strategic direction of the gaming brands within the company

Main Responsibilities:

• Data Analysis - Analyze large datasets to understand gaming operations, player behaviour, and revenue streams and inform strategic and operational decisions.
• Product Development Support - Provide recommendations based on the game data to enhance product features, economies, and future developments.
• Monetization support - Work across teams to apply insights for improving game monetization and player engagement tactics.
• Performance Monitoring - Design and create automated dashboards and reports for key business metrics and insights to assess the effectiveness of gaming products/features/events, marketing campaigns, and revenue-generating initiatives.
• Financial Analysis - Evaluating financial performance, forecasting revenue projections, and identifying areas for cost optimization or revenue growth
• Continuous Improvement - Staying updated on industry trends, best practices, and emerging technologies in gaming analytics and business intelligence. Proactively identifying opportunities for process improvement and optimization within the analytics function.
• Manage multiple analytics projects in a fast-paced environment.
• Provide technical and architectural guidelines for the optimal data structuring within the organization.

Requirements

• 5+ years in similar analytical roles in the social casino/iGaming industry.
• Proficient in SQL and experience with complex data queries.
• Proficient in PowerBI and experience building dashboards and working with sematic models.
• Strong analytical and problem-solving capabilities and attention to detail.
• Excellent communication skills, with the ability to simplify complex data into actionable insights.
• Passion for the social gaming industry and an adaptable attitude.
• Personal values - Proactiveness, assertiveness, goals and not tasks driven self -management
• Bachelor’s degree in Statistics, Math, Engineering, Economics, or another quantitative field.

Nice to have requirements:

• Familiarity with statistical tools and models (R, SAS) is beneficial.
• Familiarity with Python programming
• Familiarity with Microsoft Fabric platform

Benefits

Why Join Us?

• Opportunities for career development, growth and advancement
• Collaborative and supportive work environment
• Competitive salary and bonuses
• Fantastic company events
• On-site leisure facilities
• On-site parking