Senior Analytics Engineer – Monetization

Jobtailor; Hamburg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a monetization analytics expert to own the measurement stack, build dbt models and Tableau dashboards, and develop predictive models for LTV, payer conversion, and churn risk. You will collaborate with Game Balancing to assess revenue impact of economy changes and translate insights for senior stakeholders.

The role requires strong SQL/Python skills, hands-on dbt/Tableau experience, and a deep understanding of monetization in free-to-play games.

Qualifikationen

• 4+ years in Monetization Analytics, Analytics Engineering, Game Analytics, or 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.

Aufgaben

• Own and operate 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.

Kenntnisse

SQL

Python

Data Modeling

dbt

Tableau

A/B Testing

LTV Analysis

Payer Conversion

Churn Analysis

Payer Segmentation

Player Journey Analysis

Tools

dbt

Tableau

Jobbeschreibung

Responsibilities

• 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

Requirements

• 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

ATS Optimization Keywords

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Hard Skills

• Data Modeling
• Predictive Modeling
• A/B Test Design
• Player LTV Analysis
• Payer Conversion Analysis
• Churn Risk Analysis
• Payer Segmentation
• Player Journey Analysis

Soft Skills

• Proactive
• Ownership-Driven
• Clear Communication