Own and operate the monetization measurement stack, ensuring data quality, model integrity, and actionable outputs
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 in-game economy
Translate measurement outputs into recommendations for senior stakeholders
Own the full monetization data collection layer
Design and oversee A/B tests for pricing, offer mechanics, and more
Conduct payer segmentation and player journey analysis
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 evaluating model and test outputs
Proven ability to communicate complex data clearly to senior non-technical stakeholders
Proactive and ownership-driven
Fluent English
Preferred: Experience with game economy modeling, sink/source analysis, or balancing simulations
Experience in gaming or high-growth product companies, ideally social casino or casual/mid-core F2P
Familiarity with payment providers and revenue reconciliation
Experience with hybrid monetization and ad mediation platforms
Practical experience with AI tools

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 Deutschlandticket (Germany Ticket)
Option for a Wellpass membership

Senior Analytics Engineer – Monetization

Key skills