Logistics Intelligence Data Analyst

Are you eager and ready to shape the warehouse of the future with AI and advanced visualizations, and to innovate, bringing fresh and new ideas to the table? Join our team of motivated Data Analysts at Migros Online, where a modern cloud stack, challenging the status quo, and being insights driven are daily priorities.

Wichtige Hinweise: Final date to receive applications for your CV, certificates and references is January 18th, 2026. Thank you.

• You support our logistics teams, working closely with Software Engineers, Product Managers, Process Engineers, and Operations teams in the continuous improvement of our business.
• You collect, process, and analyze large sets of data related to our supply chain operations to drive impactful initiatives.
• You use AI and data models to improve our warehouse's core operations.
• You build the bridge between the logistics team and the product organization, being a facilitator in the knowledge and information transfer.
• You share relevant insights to raise awareness about ongoing projects and challenges.
• You are curious and drive the adoption of best practices and new technologies in the team.

• Education:
  
  Master’s degree (university / university of applied science) or University degree (Uni/ETH, FH, HF) with focus on Analytics / Economics / Informatics / Logistics / Engineering or related topics.
• Experience:
  
  3 years of experience in a similar or related field.
• Experience with Google Cloud (Big Query, Vertex AI, Looker, Power BI), Python (most common packages and ML packages).
• You are curious, open, well‑organized, a team player, with a can‑do attitude for solving interesting and complex problems.
• You are a full‑stack data expert, with knowledge ranging from data collection to production‑ready APIs.
• Writing clean code, creating visually appealing dashboards, sharing, and maintaining them, is a core part of your values.
• You are familiar with Agile methodologies or have worked in a group adopting them.
• Your German language skills are excellent, both spoken and in writing.
• English (B2)
• German (B2)
• Swiss German (A2)
• French (ADVANTAGEOUS)

• Maternity/paternity leave: 18‑week maternity leave paid at 100% and 4‑week paternity leave paid at 100%.
• Mobile phone subscription: cell phone subscription at attractive rates.
• Cumulus points: benefit from additional Cumulus points.
• Sports and fitness offers: we value your health and offer CHF 250.
  
  - per year when taking out a sports subscription.
• Personal responsibility & freedom: we value direct communication and involve our employees in the decision‑making process.
• Individual continuing training: we value your development and participate in your growth, offering a budget for it.

Only online applications can be accepted on the applications portal.

• Pre‑selection of applications
• Personal video or telephone call
• Interview with HR & specialist department
• Technical interview with case presentation
• Getting to know the team
• Offer & issuance of the contract (digital)

Ms. Katharina Höttermann
Talent Acquisition Partner

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