Monetization Data Analyst: Pricing, Revenue & Growth

Current Mobile; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mode.Inc is seeking a Senior Data Analyst to partner with the Monetization team. You will own revenue metrics, design pricing experiments, and build LTV models to inform pricing and revenue mix across apps and web properties.

You will design data pipelines, improve data quality, and provide data-driven insights to influence pricing, packaging, and go-to-market strategies. This is a remote-first, international team with strong collaboration across product and growth.

Qualifications

• 4+ years in analytics, with monetization/revenue analytics for consumer apps.
• Proven track record in pricing or paywall experiments.
• Strong SQL and Python and production data experience.
• Experience with LTV modeling and revenue forecasting on subscription/ad monetized apps.
• Familiarity with app store subscription mechanics and platforms.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design, build, and maintain datasets and data pipelines for self-service analytics.
• Improve data quality, accuracy, and documentation.
• Own revenue and monetization metrics across the portfolio (ARPU/ARPDAU, LTV, churn).
• Design and analyze pricing/paywall experiments with statistical rigor.
• Build cohort and LTV models to inform pricing decisions.
• Analyze ad monetization performance (eCPM, fill rate, impressions).
• Measure economics of partner offers and rewards, profitability.
• Reconcile revenue data across stores and networks; investigate discrepancies.
• Partner with Monetization, Product, and GMs on forecasting and roadmap.
• Communicate findings with clear narratives to drive alignment.

Skills

SQL

Python

Analytics

Monetization

Pricing

LTV modeling

AB testing

Communication

Tools

RevenueCat

Superwall

Adapty

Looker

Tableau

Job description

Mode.Inc is seeking a Senior Data Analyst to partner with the Monetization team. You will own revenue metrics, design pricing experiments, and build LTV models to inform pricing and revenue mix across apps and web properties.

You will design data pipelines, improve data quality, and provide data-driven insights to influence pricing, packaging, and go-to-market strategies. This is a remote-first, international team with strong collaboration across product and growth.