Senior Analytics Engineer - Monetization (m/w/d)

About This RoleAI processing…

Key Responsibilities

• 1
  Own and operate our monetization measurement stack, ensuring data quality, model integrity, and actionable outputs across IAP, offers, and the in-game economy
• 2
  Build and maintain scalable dbt data models and Tableau dashboards that enable self-service reporting on monetization health metrics (ARPDAU, ARPPU, conversion rates, payer cohorts, offer performance, retention-to-revenue curves)
• 3
  Develop predictive models for player LTV, payer conversion, and churn risk, and translate them into concrete recommendations for pricing, segmentation, and personalized offers
• 4
  Partner with Game Balancing to analyze the in-game economy: sink/source health, currency inflation, progression pacing, and the impact of balancing changes on long-term revenue
• 5
  Translate measurement outputs into concrete recommendations for senior stakeholders. You're the person who explains why an offer, price point, or economy lever is over- or underperforming and what to do about it
• 6
  Own the full monetization data collection layer, from event tracking specs to first-party event design and data contracts with Product and Engineering, ensuring every relevant purchase, offer interaction, and economy event is captured correctly and flows reliably into the measurement stack
• 7
  Design and oversee A/B tests for pricing, offer mechanics, store layouts, paywalls, and live ops events to optimize the full monetization funnel
• 8
  Conduct payer segmentation and player journey analysis to uncover conversion, retention, and reactivation opportunities across whales, mid-spenders, and minnows
• 9
  Collaborate with Data Engineering to ensure reliable data pipelines between game backends, payment providers, and our BI stack

Requirements

• 4+ years in Monetization Analytics, Analytics Engineering, Game Analytics, or a closely related role in B2C, gaming, or mobile
• Strong SQL and Python for data modeling, analysis, and predictive modeling (e.g., D180 LTV forecasting, payer conversion models)
• Hands-on experience with dbt and Tableau (or comparable BI tools)
• Deep understanding of monetization mechanics in free-to-play or social games: IAP funnels, offer design, pricing, in-game economies, and live ops measurement
• Solid grasp of experimentation: A/B test design, sample sizing, and the ability to critically evaluate model and test outputs, not just run them
• Proven ability to communicate complex data clearly to senior non-technical stakeholders (Sales, Game Design, Leadership)
• Proactive and ownership-driven: You close the loop from pipeline to business impact
• Fluent English
• Experience with game economy modeling, sink/source analysis, or balancing simulations
• Gaming or high-growth product company background, ideally social casino or casual/mid-core F2P
• Familiarity with payment providers (e.g., Xsolla, Stripe, app store IAP) and revenue reconciliation
• Experience with hybrid monetization (IAP + Ad Revenue) and ad mediation platforms (Max, LevelPlay)
• Practical experience with AI tools (Claude Code, Cursor, LangChain, n8n)
• Fluent German

Perks & Benefits