Remote Senior Monetization Data Analyst

Mode Mobile, LLC; United States; À distance; USD 110 000 - 160 000; Plein temps

Avantages offerts par ce poste

Remote-first culture

Competitive compensation

Equity program

Company bonus program

Open PTO & holidays

Résumé du poste

Mode.Inc is seeking a Senior Data Analyst to partner with the Monetization team. You will design, measure, and optimize revenue across subscription, in-app purchases, ads, and partner offers, translating data into actionable pricing and packaging strategies.

The role requires strong SQL and Python, experience with consumer subscription apps, and hands-on pricing experiments. You will own revenue metrics, build cohort/LTV models, and balance ad revenue with user experience.

Qualifications

• 4+ years in analytics, preferably monetization, pricing, or revenue analytics for consumer subscription apps & games.
• Experience with LTV modeling and revenue forecasting on subscription and ad-monetized apps/games.
• Track record designing and interpreting pricing or paywall A/B tests, including conversion windows and LTV tradeoffs.

Responsabilités

• Design, build, and maintain datasets and data pipelines to enable self-service analytics.
• Own revenue and monetization metrics across a portfolio of apps.
• Analyze pricing, packaging, and paywall experiments with statistical rigor.
• Build cohort and LTV models to inform pricing decisions.
• Analyze ad monetization performance and revenue mix across sources.
• Reconcile revenue data across app stores, subscription platforms, and ad networks.
• Collaborate with Monetization, Product, and GMs on forecasting and roadmaps.
• Communicate findings with clear narratives to drive alignment and impact.

Connaissances

SQL

Python

Data analysis

Analytical thinking

Communication

LTV modeling

Revenue forecasting

Pricing/paywall testing

Outils

RevenueCat

Superwall

Adapty

Looker/Tableau

Redshift/Spark/Airflow

Description du poste

Mode.Inc is seeking a Senior Data Analyst to partner with the Monetization team. You will design, measure, and optimize revenue across subscription, in-app purchases, ads, and partner offers, translating data into actionable pricing and packaging strategies.

The role requires strong SQL and Python, experience with consumer subscription apps, and hands-on pricing experiments. You will own revenue metrics, build cohort/LTV models, and balance ad revenue with user experience.