Head of Analytics and Data Science
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Head of Analytics and Data Science
Anzeige auf Englisch
ArbeitsortBerlin und Umgebung
+ 4 weitere
Gehalt110.000–150.000 € brutto/Jahr
HomeofficeKeine Angabe
- Data is at the core of Zenjob's marketplace, and we're looking for a collaborative, forward-thinking Head of Analytics & Data Science to guide our next chapter
- In this role, you will lead and mature our data and analytics function, helping the team unlock actionable insights and scale their impact across the company
- You will help us integrate Artificial Intelligence further into our everyday work-both in how we optimize our platform and how we improve our internal workflows. If you are a pragmatic leader who loves mentoring developing talent, solving marketplace puzzles, and exploring practical AI applications, we'd love to meet you
- Nurture and Grow the Team: Coach and develop our team of Data Scientists and Analysts. You will foster a healthy, collaborative culture rooted in continuous learning, best practices, and practical business impact
- Integrate AI into Everyday Work: Guide the team in adopting modern AI tools and methodologies to improve our daily workflows, while helping identify smart opportunities to leverage AI
- Drive Pragmatic Execution: Manage the roadmap for data initiatives. You will keep a steady delivery pace, ensuring the team's output translates into clear, measurable value for Zenjob
- Collaborate Across Teams: Partner closely with Data, Engineering and Business stakeholders to ensure we are building a collaborative, reliable, and accessible data ecosystem
- Focus on What Matters: Help the team prioritize high-impact initiatives, ensuring we are solving mission-critical business problems rather than getting lost in the noise
- Great Communication Skills: An empathetic communication style that allows you to influence stakeholders, build trust, and bring people along on the data journey
- Solid Technical Foundations: A strong background in data modeling, analytical methodologies, and experimentation, combined with a highly pragmatic approach to problem-solving
- Strong Business Translation: The ability to bridge the gap between technical data work and business reality, turning complex analysis into simple, actionable insights for stakeholders
- Marketplace Intuition: Prior experience or a deep understanding of two-sided marketplace dynamics (supply, demand, and matching optimization) is highly valued
- Team Leadership Experience: A proven track record of managing and developing data professionals (analysts and/or data scientists) in a fast-paced environment
- An Open Mind Toward AI: Curiosity and practical experience with modern AI tools, with a clear view of how to use them to automate workflows and enhance analytical capabilities
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