Senior Growth Data Analyst

Description

Crazy Labs is one of the world’s leading mobile game developers and publishers, specializing in hypercasual, 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 datadriven 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 realtime reports to monitor key KPIs and support decisionmaking.
• Campaign Optimization: Support AB testing, attribution modeling, and budget allocation to maximize efficiency and ROAS.
• Creatives & UA Analysis: Identify highperforming 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.
• CrossTeam 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.
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  Requirements

  • Experience: 35 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 crossfunctional teams and optimize datadriven strategies.
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