Sr. Data Analyst - Monetization

Responsibilities

• Design, build, and maintain common datasets and data pipelines for self-service analytics
• Own revenue and monetization metrics including ARPU, LTV, and churn rates
• Design and analyze pricing, packaging, and paywall experiments with statistical rigor
• Build subscription cohort and LTV models to inform pricing and UA bidding
• Analyze ad monetization performance including eCPM and fill rates
• Reconcile revenue data across app stores, subscription platforms, and ad networks
• Partner with Monetization, Product, and GMs on revenue forecasting and roadmap prioritization

Requirements

• 4+ years of experience in analytics, preferably in monetization or revenue analytics for consumer subscription apps
• Strong proficiency in SQL and Python programming
• Proven track record of designing and interpreting pricing or paywall A/B tests
• Experience with LTV modeling and revenue forecasting
• Familiarity with App Store/Google Play billing and subscription platforms like RevenueCat or Superwall

Preferred Qualifications

• Experience with ad mediation tools like AppLovin MAX or AdMob
• Knowledge of Big Data tools such as Redshift, Spark, or Airflow
• Proficiency with dashboarding tools like Looker or Tableau
• Experience in predictive modeling or AI

Benefits

• 100% remote-first work environment
• Competitive compensation package
• Participation in the company equity plan
• Individual bonuses via Company Bonus Program
• Open PTO, generous holidays, and wellness days
• Remote social activities and recognition programs