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Berliner Verlag

Product Owner – Data Analytics

Berliner Verlag

. End-to-end ownership of analytics tools such as Google Analytics and Marfeel, as well as the experimentation infrastructure .

Posted 10/14/2026full-timeBerlin • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics tool ownership, including Google Analytics and Marfeel, while effectively managing product roadmaps and KPIs to enhance customer experience. Proficient in translating complex data insights into actionable recommendations for diverse audiences.

Highest-signal resume keywords
Product OwnershipData AnalyticsAgile MethodologiesKPI DevelopmentA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data VisualizationData GovernanceMetrics DevelopmentScrumKanbanUser Story CreationExperiment DesignTechnical ImplementationCustomer Journey AnalysisAd Hoc Analysis
Soft Skills
CommunicationCollaborationProblem-SolvingAdaptabilityHands-On Mentality
Tools & Technologies
Google AnalyticsMarfeelDashboard Creation ToolsUX/UI Design Tools
Industry Keywords
PublishingMediaE-CommerceData-Driven Decision-MakingCustomer Behavior Analysis

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • End-to-end ownership of analytics tools such as Google Analytics and Marfeel, as well as the experimentation infrastructure
  • Develop the analytics roadmap, communicate the product vision, and manage releases from concept through go-live
  • Advise business teams on relevant KPIs and produce ad hoc analyses
  • Develop benchmarks and metrics for the development team and the business
  • Define, implement, and monitor KPIs to measure customer behavior across the entire customer journey
  • Identify friction points, derive optimization measures, and align features with customer needs
  • Formulate hypotheses, design, and independently evaluate A/B tests and other experiments
  • Translate business, data, and user needs into epics, user stories, and acceptance criteria
  • Prioritize the backlog jointly with the Product team
  • Own the technical implementation of relevant features and serve as the key point of contact for the development team
  • Act as a bridge between business and technology, and facilitate and evaluate requirements
  • Monitor industry developments, emerging technologies, and user expectations, and translate them into product recommendations

Requirements

What you’ll need
  • 3–5 years of experience as a Product Owner or Product Manager, ideally with a focus on Data Analytics or Product Analytics
  • University degree in Business Informatics, Data Science, Business Administration, Media Informatics, or a comparable field—or equivalent relevant professional experience
  • Proven experience managing agile teams using Scrum/Kanban
  • Experience managing requirements independently
  • Understanding of data visualization and the creation of meaningful dashboards
  • Sound understanding of data governance, data-driven decision-making, and the development of scalable metrics
  • Ability to translate data into clear recommendations for technical and non-technical audiences
  • Strong hands-on mentality
  • Excellent written and spoken German and English
  • Experience with digital products in publishing, media, or e-commerce is a plus
  • Software development background is a plus
  • Knowledge of UX principles and experience working with UX/UI design teams is a plus

Benefits

Comp & perks
  • Freedom to shape your work and take ownership
  • Meaningful work with real impact
  • Permanent employment with trust-based working hours
  • High level of autonomy
  • Modern office directly at Alexanderplatz with impressive views across the city
  • Excellent public transport connections
  • Open and collaborative company culture
  • Personal and professional development opportunities
  • Career development prospects and the opportunity to take on greater responsibility and develop new skills