Continuous Improvement Data Analyst Intern at Disney driving strategic initiatives for operational efficiency. Involves data analysis, visualization and stakeholder collaboration.
About the role
- Data Analyst for Whow Games developing analytics frameworks and optimizing game performance metrics in Hamburg. Working with advanced tools to boost revenue and retention across platforms.
Responsibilities
- 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
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