Director of Marketing Analytics

SciPlay, is a global leader focused in providing an ever-expanding portfolio of robust iGaming and Social Casino solutions to the global gaming industry. To put it simply - we make Mobile and Facebook games that are fun to play, fun to make, and we're growing like crazy! SciPlay's reach is made possible by the expertise of our rock star teams and game makers. Want to be part of a fast-paced company that lands in the Top 1% of Social Casino games? See more details below!

Position Summary

We are seeking a strategic, data-driven Director of Marketing Analytics to lead and scale our analytics function across user acquisition, retention, and monetization efforts. In this role, you will transform complex data into actionable insights that drive performance for our mobile game portfolio. You’ll collaborate closely with marketing, product, data, and finance teams to guide decisions, optimize campaigns, and help shape growth strategies across global markets.

Key Responsibilities

• Lead the development and execution of marketing analytics frameworks for user acquisition (UA), paid media, influencer campaigns, and ASO.
• Drive measurement and attribution strategies (including SKAN, MMPs) to optimize ROAS and LTV across channels and geographies.
• Partner with UA, creative, and product teams to design experiments (A/B tests), interpret results, and recommend actions.
• Oversee marketing data science projects including various models such as LTV, MMM, Churn and more.
• Analyze player funnel behavior and segment performance to inform targeting and creative strategy.
• Build and mentor a high-performing marketing analytics team.
  
  

• 8+ years in marketing analytics or growth analytics, preferably in the mobile gaming industry.
• Deep expertise with mobile attribution platforms (e.g., AppsFlyer, Adjust, Singular).
• Strong SQL skills; Good familiarity with Python, R, or similar tools.
• Strategic thinker with excellent communication skills and a business-oriented mindset.
• Experience leading and mentoring analytics teams.
• Solid foundation in statistics, predictive modeling, and data architecture.