Develop and improve measurement frameworks (e.g., feature adoption, engagement scoring, incrementality tests, user health metrics) and apply advanced statistical methods to guide roadmap prioritization, feature mix, and retention strategies.
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 oversee A/B tests for feature launches, UI/UX variants, onboarding flows, and monetization mechanics to optimize the entire user journey.
Conduct user segmentation, behavioral cohort analysis, and user journey mapping to identify opportunities in engagement, retention, and monetization.
Work closely with Data and Product Engineering to ensure data quality across product analytics tools, the BI stack, and backend event systems.
Communicate insights clearly and convincingly to influence senior leadership and drive data-informed decisions for the product roadmap and feature prioritization.

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 for analyses from the data pipeline to business impact
Fluent English

Benefits

A dynamic environment with flat hierarchies and fast decision-making, providing plenty of room for your own ideas
Flexible working hours and the option to work remotely (office presence expected 2 days per week)
Regular company events
Fruit, drinks, and meal allowances
Subsidy for the Deutschland-Ticket
Wellpass membership available

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

communicationinfluencingproactiveresults-orientedownershipanalytical thinkingproblem-solvingcollaborationattention to detailadaptability