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Listed on Mode’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
- A/B Testing
- AdMob
- Amazon Redshift
- Apache Airflow
- Cohort Analysis
- Looker
- Python
- Revenue Forecasting
- SPARK
- SQL
- Tableau
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What they ask for
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