Senior Product Analyst (PropTech)

🚀 Senior Product Analyst в Aroundhome (Берлин)

Aroundhome — это крупная немецкая рекомендательная платформа и онлайн-сервис, помогающий домовладельцам находить специалистов для ремонта, модернизации и обслуживания жилья.

Задачи:

• Enable Data-Informed Decisions: Perform analyses that address specific business needs, allowing teams to make timely and informed decisions. Advocate for the use of data in everyday decision-making processes
• Define and Track KPIs: Act as an advisor on KPI definitions and data requirements, working directly with stakeholders to establish metrics that align with business goals and accurately reflect product performance
-Build and Optimize Dashboards: Ensure visibility of key metrics and performance indicators, by developing and maintaining reports and dashboards in Tableau/Metabase.
-Shape Scalable and Trusted Data Foundations: Partner with Product and Engineering to define data models, uphold data governance and curate analytics-ready datasets that are reliable, scalable and designed to enable self-service analytics across the organization
• Empower Teams Through Data: Enable product teams to effectively leverage data and analytics tools by fostering data literacy, supporting self-service analytics, and guiding evidence-based decision making across the organization
• Provide Strategic Insights: Conduct in-depth analyses, providing thorough, actionable insights for complex projects that shape strategic decisions

Требования:

• Bachelor’s or Master’s degree or equivalent in a relevant field (e.g., Data Science, Statistics, Mathematics, Business Analytics, Computer Science)
• Proven experience (3+ years) in a product analytics role, preferably in a B2C or marketplace environment, partnering closely with product managers and engineering teams to guide feature development
• Hands-on experience accompanying the full product development lifecycle — from discovery and ideation to rollout, experimentation, and post-launch analysis
• Strong understanding of Product Analytics, including user behavior analysis, and proven ability to independently design, set up, and evaluate experiments (A/B tests) with a good understanding of statistical methods/analysis and experimentation logic
• Proficiency in data analysis tools and languages (e.g., SQL, Python, R, etc.) as well as data visualization tools (e.g., Tableau, Looker, Metabase, etc.)
• Understanding of data infrastructure, data governance, and data engineering concepts
• Experience supporting self-service analytics initiatives and empowering cross-functional teams with data access
• Strong communication skills and ability to translate data insights into actionable recommendations for both technical and non-technical stakeholders

Условия:

• Hybrid Work // Stay flexible: We embrace a hybrid working model that balances the autonomy of remote work with purposeful in-person collaboration.
• If you are not based in Berlin, we appreciate it if you’re generally open to coming to our office occasionally - for example, for team days, workshops, or important meetings. Additionally, we offer you the possibility to work up to 30 days per year from selected EU countries.

📎 Как откликнуться?

• Вакансия: Показать контакты
• Откликаться в Linkedin

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