Develop and improve measurement frameworks (e.g., feature adoption, engagement scoring, incrementality tests, user health metrics) and apply advanced statistical methods
Build and maintain scalable dbt data models and Tableau dashboards that enable self-service reporting on product performance (DAU/MAU, feature adoption rates, retention curves, engagement depth, monetization funnels)
Analyze product performance across platforms and develop predictive engagement models for hybrid monetization (IAP + ad revenue)
Own optimization of the conversion funnel and monetization event tracking
Design and run A/B tests for feature launches, UI/UX variants, onboarding flows, and monetization mechanics
Conduct user segmentation, behavioral cohort analysis, and user journey mapping
Work closely with Data and Product Engineering to ensure data quality across product analytics tools, the BI stack, and backend event systems
Communicate findings clearly and persuasively to influence senior leadership

Requirements

At least 2 years of experience in product analytics and data modeling (B2C product experience preferred)
Strong proficiency in SQL and Python for data manipulation, statistical analysis, and predictive modeling (e.g., churn prediction, LTV forecasting)
Hands-on experience with dbt and Tableau (or comparable BI tools)
Expertise in statistical modeling and machine learning (regression, Bayesian methods, causal inference, experimentation design) applied to product use cases
Deep understanding of product metrics frameworks, funnel analysis, and A/B testing in digital products and in-app experiences
Proven ability to translate complex data into actionable insights that influence senior stakeholders
Proactive, results-oriented working style with ownership of analyses from pipeline to business impact
Fluent English

Benefits

Professional team with several years of industry experience
Dynamic environment with flat hierarchies and fast decision-making, offering plenty of room for your own ideas
Flexible working hours and the option to work remotely (attendance in the office is expected 2 days per week)
Regular company events
Fruit, beverages, and meal allowances
Subsidy for the Germany public transit ticket (Deutschland-Ticket)
Optional Wellpass membership

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata modelingstatistical analysispredictive modelingstatistical modelingmachine learningA/B testinguser segmentationbehavioral cohort analysis

Soft Skills

communicationproactiveresults-orientedownershipinfluencing