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 run A/B tests for feature launches, UI/UX variants, onboarding flows, and monetization mechanics to optimize the end-to-end 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 persuasively to influence senior leadership and drive data-driven decisions for the product roadmap and feature prioritization.

Minimum 2 years of experience in product analytics and data modeling (B2C product experience preferred)
Strong SQL and Python skills 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

You will benefit from a professional peer group with several years of industry experience
A 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 (on-site presence expected 2 days per week)
Regular company events
Fruit, beverages and meal allowances
Subsidy for the Deutschlandticket (public transport pass)
Optional Wellpass membership

Data Analyst – Product, fixed-term (12 months)

Key skills