Teamleiter*in / Product Owner Analytics & Reporting — Migros-Genossenschafts-Bund
NewCHF 73'500 - 111'500
Migros-Genossenschafts-Bund · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 5 days ago
SalaryCHF 73'500 - 111'500
Role overview
Do you want to actively shape the analytics future of Migros?
Our Analytics, Reporting, Data & Platform division develops and operates modern data and analytics solutions on GCP and Power BI.
As Team Leader and Product Owner Analytics & Reporting, you lead an interdisciplinary team and are responsible for analytics, data and AI products from idea to operation.
- Do you want to actively shape the analytics future of Migros?
- Our Analytics, Reporting, Data & Platform division develops and operates modern data and analytics solutions on GCP and Power BI.
- You lead an interdisciplinary team of data scientists and data engineers and develop it as a servant leader and coach both professionally and personally.
- As a technical product owner, you are responsible for designing and prioritizing features and backlog consistently according to benefits and impact, taking into account roadmaps and budgets.
Main responsibilities
- You lead an interdisciplinary team of data scientists and data engineers and develop it as a servant leader and coach both professionally and personally.
- As a technical product owner, you are responsible for designing and prioritizing features and backlog consistently according to benefits and impact, taking into account roadmaps and budgets.
- Together with your team, you bring analytics and data solutions from the idea to the productive operation.
- You formulate clear implementation mandates, promote pragmatic solutions and ensure quality and sustainability
- As part of the extended leadership team, you actively shape the handling of new technologies such as Agentic AI and develop your team with a view to future requirements.
Application process
- At least 4 years of experience: in the field of Data & Analytics with experience in building and operating cloud-based analytics solutions, data products, analytical web applications and reporting
- Completed studies (uni/ETH, FH, HF): in (economics) computer science, mathematics, physics, data science, economics or another quantitative field
- You have several years of practical experience in the use of data science, analytics and reporting and enjoy translating complex business questions into understandable, effective solutions
- You bring leadership experience or proven leadership responsibility and strong product owner skillset and are familiar with the appropriate tools and methodologies
- You communicate clearly, appreciatively and appropriately.
- You can mediate between business, technology and people, creating effective, motivated collaboration across disciplines
- You have a good understanding of cloud-based platforms (e.g.
- GCP, Azure) as well as the use of Python, SQL, dbt or similar and are familiar with AI tools, ML methodologies and agent systems. DevSecOps and MLOps are familiar to you
Company and context
- You will strengthen the data and AI competence of the organization, evaluate new technologies for their added value, promote the exchange of knowledge and empower employees, analytics and AI solutions safely, responsibly and effectively Requirements
Additional details
- You will strengthen the data and AI competence of the organization, evaluate new technologies for their added value, promote the exchange of knowledge and empower employees, analytics and AI solutions safely, responsibly and effectively
- GCP, Azure) as well as the use of Python, SQL, dbt or similar and are familiar with AI tools, ML methodologies and agent systems. DevSecOps and MLOps are familiar to you
- Experience in the use of analytics in one of the following areas: pricing, action optimization, product range optimization, geo-based applications in German (negotiation certain) English (very good knowledge)
Notes and original content
- Requirements
- GCP, Azure) as well as the use of Python, SQL, dbt or similar and are familiar with AI tools, ML methodologies and agent systems.
- DevSecOps and MLOps are familiar to you
- Experience in the use of analytics in one of the following areas: pricing, action optimization, product range optimization, geo-based applications
- in German (negotiation certain)
- English (very good knowledge)
- Cosa of Friamo
