Own and operate our monetization measurement stack, ensuring data quality and actionable outputs across IAP, offers, and the in-game economy
Build and maintain scalable dbt data models and Tableau dashboards for monetization health metrics
Develop predictive models for player LTV, payer conversion, and churn risk
Partner with Game Balancing to analyze the impact of in-game economy and balancing changes on revenue
Translate measurement outputs into actionable recommendations for senior stakeholders
Own the monetization data collection layer, ensuring all relevant events are captured correctly
Design and oversee A/B tests for pricing, offer mechanics, and live ops events
Conduct payer segmentation and player journey analysis to uncover monetization opportunities
Collaborate with Data Engineering to ensure reliable data pipelines

4+ years in Monetization Analytics, Analytics Engineering, Game Analytics, or a closely related role in B2C, gaming, or mobile
Strong SQL and Python skills for data modeling, analysis, and predictive modeling
Hands-on experience with dbt and Tableau (or comparable BI tools)
Deep understanding of monetization mechanics in free-to-play or social games
Solid grasp of experimentation: A/B test design, sample sizing, and evaluation of model and test outputs
Proven ability to communicate complex data clearly to senior non-technical stakeholders
Proactive and ownership-driven

Flexible working hours and the option to work remotely (with an expectation of being in the office two days per week)
Regular company events
Fruit, drinks, and meal allowances
Subsidy for the Germany Ticket
Option for a Wellpass membership

Senior Analytics Engineer – Monetization

Key skills