Master Thesis – Customer Segmentation & Value Proposition (f/m/d)
Quick Summary
Location:Zurich, Zurich,
Are you interested in combining academic research with real-world business impact? Would you like to work on a strategic topic with direct business impact and apply academic research to real customer and market challenges? You would gain exposure to Product Management, Sales, Marketing, and Service and contribute to real business decisions. Join our Product Management & Marketing team and develop a customer segmentation framework to enable more targeted service offerings and commercial growth. The duration is 6 months.
- Develop a behavior- and needs-based customer segmentation framework
- Analyze customer, market, and installed base data to identify key profiles and needs
- Combine academic research with stakeholder interviews and business insights
- Develop differentiated value propositions for identified customer segments
- Translate insights into recommendations for Product Management, Sales, Marketing, and Pricing
- Present findings and recommendations to senior management
- Currently enrolled in a master’s program in management, technology, economics, engineering, marketing, or related field
- Strong analytical and problem-solving skills
- Interest in customer segmentation, product management, and commercial strategy
- Comfortable working with data and conducting stakeholder interviews
- Proactive, structured, and collaborative
- Excellent English; German is a plus
We are a technology-driven company with a strong focus on innovation, continuous improvement, and sustainable manufacturing. We offer flexible working conditions, dedicated mentorship, and a supportive, inclusive environment where you can grow personally and professionally – empowering you to thrive while balancing life and work.
Responsibilities
~1 min readLocation & Eligibility
About this job
- Who can apply
- Switzerland
- Posted
- Today
Listing Details
- Posted
- November 13, 2026
- First seen
- November 13, 2026
- Last seen
- November 13, 2026
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- Trust Level
- 56%
- Scored at
- November 13, 2026
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