Head of Data Science & Analytics 80-100%

Rejoignez Sunrise GmbH en tant que Head of Data Science & Analytics 80-100% a Zurich (Headquarter). Rejoignez Sunrise en tant que Head of Data Science & Analytics. Une opportunité stimulante dans un environnement dynamique.

TACHES

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Diriger et développer une équipe de Data Science & Analytics. •
Définir des normes et meilleures pratiques pour l'analyse de données. •
Collaborer avec les parties prenantes pour transformer des questions commerciales en analyses.



COMPETENCES



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Expérience en leadership et en développement d'équipe requis. •
Expertise en analyses avancées et méthodes statistiques. •
Excellentes



COMPETENCES


en communication et en conseil. At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every perspective makes us stronger. Our passion spurs us on to try new things and grow continuously. Sound like you? Then join our success story. As Head of Data Science & Analytics, you will work at the intersection of data, decision science, and real-world impact. You will lead a team of 10 specialists to address some of Sunrise’s most critical business challenges, applying rigorous analysis guided by pragmatic judgment to ensure decisions are both well-founded and actionable. As a leader, you will act as a coach, translator, builder, and strategist, shaping how data informs decisions across the organization. YOUR CHALLENGE:

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Lead and develop the Data Science & Analytics team, including coaching, capability building, and people development

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Define what good looks like for Data Science & Analytics by setting standards and best practices, supported by playbooks, training materials, and delivery frameworks

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Ensure high-quality delivery across Data Science & Analytics contributions in a matrix setup

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Partner closely with product owners, business stakeholders, and senior leaders to translate business questions into analytical problems, and turn insights into decisions

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Support high-value decisions through analytics, experimentation, impact measurement, and advanced analytical methods such as causal inference - bringing rigorous evidence and constructive challenge to the company’s most important questions

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Build a community for data-driven decision-making across Sunrise by driving knowledge exchange, promoting best practices, and raising analytical fluency across the organization
YOUR SKILLS:

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Proven people leadership expertise, including line management, coaching, and developing high-performing teams

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Strong expertise in advanced analytics for decisioning, ideally including causal inference, experimentation, impact measurement, and related statistical methods, supported by an advanced degree in a STEM field, economics, business informatics, or similar

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Deep hands-on analytics coding skills, ideally in both Python and R, with the ability to guide others on methodological and technical quality

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Excellent advisory and communication skills, with the ability to engage senior stakeholders credibly, constructively challenge assumptions, and turn analysis into decisions

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Strong business acumen and the ability to focus teams on the work that creates the highest return on investment

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A pragmatic consulting mindset paired with strong delivery focus and sound judgment

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Fluency in English; German advantageous
At Sunrise, you’ll be working in a dynamic and multinational environment where every voice is heard, perspectives are shared and values are lived. Diversity isn’t just a program for us, it’s part of our DNA. By celebrating our differences, we achieve great things together. Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value. Ready to rise to the challenge? Then join the team and actively shape our future!
#ChallengersWanted
Information for agencies: Application dossiers sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted. #LI-SJ1

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