# Sr. Data Analyst - Monetization (Remote)

Hiring organization: [Mode](https://career.thegoodapps.co/organizations/mode)

Canonical page: https://career.thegoodapps.co/jobs/97412e47-61a2-4599-9ceb-bbb12f2380b9

Listed on Mode's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Remote
- Remote: yes

## Summary

This role focuses on analyzing and optimizing revenue across Mode's portfolio of mobile apps and web products, covering subscriptions, ads, and partnerships. You'll design experiments, build forecasting models, and provide recommendations on pricing and packaging to drive business growth.

_Our summary, not Mode's wording._

## Skills named

A/B Testing, AdMob, Amazon Redshift, Apache Airflow, Cohort Analysis, Looker, Python, Revenue Forecasting, SPARK, SQL, Tableau

## Required

- 4+ years of analytics experience
- Proficiency in SQL and Python
- Experience with large-scale production data
- Hands-on experience with consumer subscription apps or games
- LTV modeling and revenue forecasting for subscription or ad-monetized apps
- Track record designing and interpreting pricing or paywall A/B tests
- Familiarity with app store subscription mechanics (App Store, Google Play)
- Knowledge of subscription platforms (RevenueCat, Superwall, Adapty)
- Strong written and verbal communication skills
- Ability to translate data into business impact

## Nice to have

- Ad mediation experience (AppLovin MAX, ironSource, AdMob)
- Web checkout or web-to-app payments experience
- Rewards or loyalty program economics expertise
- Big Data tools experience (Redshift, Spark, Airflow)
- Dashboarding tools experience (Looker, Tableau)
- Experiment design methodologies
- Predictive modeling skills
- Log analysis experience
- AI experience
- Background in tech or startup environments

Apply on Mode's site: https://www.modemobile.com/open-role?gh_jid=8882509002