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- Aufgaben: Shape data projects by turning business challenges into innovative data product concepts.
- Arbeitgeber: Join Henkel, a leader in consumer and industrial products with a commitment to sustainability.
- Mitarbeitervorteile: Enjoy a culture of learning, collaboration, and the chance to work with cutting-edge technology.
- Warum dieser Job: Be part of a dynamic team that values innovation and drives real business impact.
- Gewünschte Qualifikationen: Looking for creative thinkers with a passion for data and agile methodologies.
- Andere Informationen: Opportunity to collaborate with experts and enhance your skills in a supportive environment.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
What you´ll do
- Actively shape data and analytics projects by transforming business problems into concepts for data products and acting as a thought partner across business units and functions.
- Develop and maintain the vision and plan of data projects, oversee the execution of that plan, and manage the technical product life cycle.
- Work in close collaboration with domain, data science, and data platform experts using agile methods to deliver high-quality data products at a fast pace.
- Conduct ideation and innovation workshops, define and design ideas along the digital product lifecycle.
- Cooperate with other departments, partners, and third parties to drive business value.
- Be part of the Data and Analytics team at Henkel.
- Advance the team with your expertise and live a culture of constant learning, integrity, and mutual responsibility.
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Data Analytics Product Owner (d/f/m) Arbeitgeber: Henkel AG & Co. KGaA
Kontaktperson:
Henkel AG & Co. KGaA HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analytics Product Owner (d/f/m)
✨Tip Number 1
Familiarize yourself with agile methodologies, as this role emphasizes working in agile teams. Understanding frameworks like Scrum or Kanban can help you communicate effectively with your future colleagues.
✨Tip Number 2
Showcase your ability to transform business problems into data product concepts. Prepare examples from your past experience where you've successfully identified a problem and developed a data-driven solution.
✨Tip Number 3
Highlight your collaboration skills. This position requires working closely with various departments, so be ready to discuss how you've effectively partnered with different teams in previous roles.
✨Tip Number 4
Stay updated on the latest trends in data analytics and product management. Being knowledgeable about current tools and technologies will demonstrate your commitment to continuous learning and innovation.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analytics Product Owner (d/f/m)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities of a Data Analytics Product Owner. Highlight your experience in transforming business problems into data product concepts and your ability to collaborate across various business units.
Showcase Your Skills: Emphasize your skills in managing the technical product life cycle and your experience with agile methodologies. Provide specific examples of past projects where you successfully delivered high-quality data products.
Highlight Collaboration Experience: Since the role involves working closely with domain experts and other departments, be sure to include examples of how you've effectively collaborated with cross-functional teams in previous roles.
Express Your Passion for Learning: Convey your commitment to continuous learning and improvement. Mention any relevant courses, certifications, or workshops you've attended that relate to data analytics and product management.
Wie du dich auf ein Vorstellungsgespräch bei Henkel AG & Co. KGaA vorbereitest
✨Understand the Business Context
Make sure you have a solid grasp of the business problems that the company is facing. Be prepared to discuss how your experience can help transform these challenges into effective data product concepts.
✨Showcase Your Agile Experience
Since the role involves working with agile methods, be ready to share specific examples of how you've successfully managed projects in an agile environment. Highlight your ability to adapt and deliver high-quality results quickly.
✨Prepare for Collaboration Questions
Expect questions about your experience working with cross-functional teams. Think of examples where you collaborated with domain experts, data scientists, or other departments to drive business value.
✨Demonstrate a Culture of Learning
The company values constant learning and mutual responsibility. Be prepared to discuss how you stay updated with industry trends and how you foster a culture of learning within your team.
