Senior Growth Data Analyst

Description

Crazy Labs is one of the world’s leading mobile game developers and publishers, specializing in hyper-casual, hybrid, and casual spaces. With over 7 billion downloads, we have a deep understanding of what it takes to transform promising game ideas into profitable hits.

We are looking for a Growth Analyst specializing in marketing and ad monetization to optimize business performance through data-driven insights. This role focuses on analyzing user acquisition, ad revenue, and player engagement to drive growth and enhance monetization strategies.

Key Responsibilities:

• Data Analysis & Insights: Analyze marketing, user acquisition, and ad monetization data to identify trends and optimize strategies.
• Performance Tracking: Develop standardized dashboards and real-time reports to monitor key KPIs and support decision-making.
• Campaign Optimization: Support A/B testing, attribution modeling, and budget allocation to maximize efficiency and ROAS.
• Creatives & UA Analysis: Identify high-performing channels, campaigns, and creatives to refine ad monetization and acquisition strategies.
• Ad Monetization Growth: Collaborate with the Ad Monetization team to track, visualize, and optimize revenue performance.
• Cross-Team Collaboration: Work closely with Game Analysts, R&D, and Product teams to enhance engagement and monetization strategies.
• Statistical Modeling & Forecasting: Utilize SQL, Python, or R to predict growth opportunities and optimize marketing performance.

Requirements

• Experience: 3-5 years in marketing (user acquisition) analytics within mobile gaming.
• Technical Skills: Strong proficiency in SQL & Python; experience with Tableau is a plus
• Marketing & Monetization Expertise: Understanding of UA channels, ad mediation, and key metrics like LTV, ARPU, and eCPM.
• Analytical Mindset: Ability to run statistical analyses, forecast trends, and generate actionable insights.
• Collaboration: Strong communication skills to work with cross-functional teams and optimize data-driven strategies.