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- Aufgaben: Lead the development and delivery of high-quality data products while ensuring data governance.
- Arbeitgeber: Join a global leader in luxury retail, driving innovation through data.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for training and professional growth.
- Warum dieser Job: Make a real impact by enhancing data quality and empowering teams with data tools.
- Gewünschte Qualifikationen: 5+ years in cloud-based data systems; expertise in GCP, SQL, and data visualization tools required.
- Andere Informationen: Ideal for proactive problem solvers who thrive in collaborative settings.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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How will you make an impact?
- You will play a key role as Data Product Owner and Business Partner, driving the success of our data products.
HOW WILL YOU EXPERIENCE SUCCESS WITH US?
Deliver Data Products
- You will be responsible for developing and delivering high-quality data products that enrich the Group’s existing data assets. This includes data loading for systems not managed by the Group, data transformation, and flows monitoring.
Secure Data Governance
- You will be responsible for ensuring that our data is managed and used in a responsible and compliant manner.
SPOC for Group Data Architecture Topics
- You will be the primary point of contact for all matters related to the Group’s data architecture. This includes staying abreast of any architecture or features evolutions, analyzing impact for the Maison, and driving relevant implementations internally.
Data Quality & Continuous Improvement
- You will coordinate and manage the continuous improvement of data products using agile methodologies, focusing on providing data owners with tools and capabilities to control data quality and communicate data quality level to data consumers.
Train on Data Mining and Reporting Tools
- You will be responsible for training colleagues on the use of data mining and reporting tools. This includes providing hands-on training, developing training materials, and supporting users in their day-to-day use of these tools.
Requirements
You have:
- Global company exposure with retail, luxury, marketing, finance experience and a strong experience in business acumen with ability to understand and work across multiple disciplines and levels.
- A minimum of 5 years of experience in cloud-based data warehousing, visualization and business intelligence reporting systems is required. Strong understanding and ability to transform and integrate existing data sets. Hands-on experience building visually appealing dashboard and reports.
- Strong expertise in GCP database platform, data transformation and visualization tools such as BigQuery, dbt, Looker, Looker Studio is mandatory, Power BI, SAP Business Intelligence, SAC a plus.
- Experienced with version control software (GitHub).
- Knowledge and understanding of data related tools and applications, industry trends, new innovative solutions, and best practices.
- Strong proficiency with SQL, Power Query M, DAX and experience using Asana, Microsoft Projects, Jira or other project management tools.
- Familiarity with SAP, Salesforce & project management methodologies a plus.
- Critical thinking, problem solving, team player with a positive “can do attitude”, proactive and collaborative mindset.
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Data Product Owner, Plan-les-Ouates Arbeitgeber: TN Switzerland
Kontaktperson:
TN Switzerland HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Product Owner, Plan-les-Ouates
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as GCP, BigQuery, and Looker. Having hands-on experience or even personal projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in agile methodologies during the interview process. Be prepared to discuss how you've successfully managed data products and improved data quality in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 3
Showcase your ability to communicate complex data concepts clearly. Since you'll be training colleagues on data mining and reporting tools, demonstrating your teaching skills or any previous training experience can be a significant advantage.
✨Tip Number 4
Network with professionals in the retail and luxury sectors who have experience with data governance and architecture. Engaging with industry peers can provide insights and potentially valuable connections that may help you during the application process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Product Owner, Plan-les-Ouates
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities of a Data Product Owner. Highlight your relevant experience in data governance, product delivery, and training on data tools.
Tailor Your CV: Customize your CV to reflect your experience with cloud-based data warehousing, visualization tools, and project management methodologies. Use specific examples that demonstrate your expertise in GCP, SQL, and data transformation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data products and your ability to drive success. Mention how your background in retail, luxury, and finance aligns with the company's goals and how you can contribute to their data architecture.
Showcase Your Skills: In your application, emphasize your hands-on experience with data visualization tools like Looker and Power BI. Provide examples of dashboards or reports you've built and how they improved data quality or decision-making.
Wie du dich auf ein Vorstellungsgespräch bei TN Switzerland vorbereitest
✨Showcase Your Data Expertise
Be prepared to discuss your experience with cloud-based data warehousing and visualization tools. Highlight specific projects where you've successfully transformed and integrated data sets, especially using GCP, BigQuery, or Looker.
✨Demonstrate Agile Methodologies
Since the role involves continuous improvement of data products using agile methodologies, be ready to share examples of how you've implemented agile practices in past projects. Discuss your experience in coordinating teams and managing workflows.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Power Query M, and DAX. Brush up on these skills and be ready to solve problems on the spot or explain your thought process clearly.
✨Emphasize Training and Collaboration Skills
As you'll be training colleagues on data mining and reporting tools, prepare to discuss your approach to training and supporting users. Share any relevant experiences where you successfully communicated complex concepts to non-technical team members.
