Sr. Data Analyst - Monetization

Mode.Inc; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Performance bonuses

Open PTO

Wellness days

Remote social activities

Job summary

Mode.Inc is seeking an experienced Analytics professional focused on monetization for consumer subscriptions. You will own revenue metrics, design pricing experiments, and develop LTV models to guide pricing and UA bidding.

Collaboration with Monetization, Product, and GMs will shape forecasting and roadmaps. Join a remote-first team offering equity participation and performance bonuses, with strong tooling in SQL, Python, Looker/Tableau, and modern data platforms.

Qualifications

• 4+ years of analytics experience, preferably monetization or revenue analytics for consumer subscription apps.
• Strong proficiency in SQL and Python programming.
• Proven track record 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.

Responsibilities

• Design, build, and maintain 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.

Skills

Analytical thinking

A/B testing design

Tools

SQL

Python

LTV modeling

Revenue forecasting

Looker/Tableau

Job description

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