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Quelle: StudySmarter Stellenbestand · Status: aktiv · Bewerbung über das zentrale StudySmarter-Formular.
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Darum lohnt es sich
Product Data Analyst to join our talented Product Team at our Berlin HQ (3 days per week - Tuesday-Thursday) Reporting to the Product Director, you will act as a key strategic partner for Product, Engineering, and Design, with a specialized focus on optimizing our Acquisition and Retention domains You will be responsible for enabling data-inspired product decisions that lift Grover’s user experience to a new level and have a considerable business impact You foster an environment where data is leveraged effectively to shape product strategy, identify opportunities, and measure success You do so by ensuring each team has access to the right data, delivering high-quality analyses that uncover actionable insights, and championing best practices in experimentation and data-inspired decision-making Domain Expertise: Serve as the primary data partner for the Acquisition and Retention domains, uncovering insights that drive growth and long-term customer loyalty Advanced Experimentation: Own the end-to-end A/B testing lifecycle using our experimentation platform, Eppo, ensuring statistical reliability and continuous improvement Strategic Insights: Support and consult on company-wide decision-making through deep-dive product insights and behavioral analysis KPI Management: Contribute to defining and maintaining Grover's PIs/KPIs, ensuring they are socialized and understood by key stakeholders Roadmap Expansion: Drive new high-impact use cases by collaborating with Data Platform, Engineering, and Product teams to align technical solutions with business objectives #J-18808-Ljbffr Requirements Analytic Power: A strong background in Product Analytics, ideally in fast-paced scale-up eCommerce and/or digital subscription environments, with a proven track record of delivering impactful insights Domain Versatility: Ability and excitement to work across different domains; prior experience supporting Acquisition and Retention is considered a strong plus Technical Stack: High proficiency in SQL and experience with data visualization tools like Tableau, Looker, or Power BI.
Familiarity with Segment is a plus Experimentation Rigor: Proven experience designing and running A/B tests (experience with Eppo is a significant advantage) and measuring the impact of new features AI Adaptability: An "AI-first" mindset with an openness to using tools like Claude to fast-track reporting, enhance documentation, and optimize analytical processes Project Management: Strong project management skills - you can take a complex question from a vague idea to a structured, delivered insight Communication: Excellent verbal and written communication skills in English, with the ability to translate complex data into actionable recommendations for both technical and commercial stakeholders What the job involves To continue this incredible adventure, we are currently looking for a Sr.
Bereit?
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