Wüest Partner
Talent Community - Real Estate Consultants(m/w/x)
Full-timeWith HomeofficeNot specified
Zürich
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WÜWüest Partner
Entry Level Talent Community - Data, Analytics & Technology(m/w/x)
Zürich
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Contributing ideas for SaaS solutions and digital product development at a real estate data analytics firm. University degree in an analytical field required. Home office flexibility, company celebrations.
Requirements
- University degree (Bachelor, Master, PhD) in analytical/statistical background, Natural Sciences or Engineering
- Interest in real estate topics and data analytics
- Interest in machine learning, artificial intelligence, and big data technologies
- Digital affinity
- Strong communication skills
- Fluent in English
- Fluent in German
- English language proficiency
Tasks
- Share enthusiasm for data, analytics, and technology
- Submit CV to join the talent community
- Stay connected with our company
- Contribute ideas for digital product development
- Participate in the further development of SaaS solutions
- Engage in forecasting models and modeling
- Support innovation in real estate market data
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- machine learning
- artificial intelligence
- big data
Benefits
Flexible Working
- Home office flexibility
Team Events
- Company celebrations
Snacks & Drinks
- Croissant breaks
Informal Culture
- High team spirit
- Flat hierarchies
Diverse Work
- Varied tasks
Learning & Development
- Generous training budget
- Training time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wüest Partner and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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WÜWüest Partner
Entry Level Talent Community - Data, Analytics & Technology(m/w/x)
Zürich
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Contributing ideas for SaaS solutions and digital product development at a real estate data analytics firm. University degree in an analytical field required. Home office flexibility, company celebrations.
Requirements
- University degree (Bachelor, Master, PhD) in analytical/statistical background, Natural Sciences or Engineering
- Interest in real estate topics and data analytics
- Interest in machine learning, artificial intelligence, and big data technologies
- Digital affinity
- Strong communication skills
- Fluent in English
- Fluent in German
- English language proficiency
Tasks
- Share enthusiasm for data, analytics, and technology
- Submit CV to join the talent community
- Stay connected with our company
- Contribute ideas for digital product development
- Participate in the further development of SaaS solutions
- Engage in forecasting models and modeling
- Support innovation in real estate market data
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- machine learning
- artificial intelligence
- big data
Benefits
Flexible Working
- Home office flexibility
Team Events
- Company celebrations
Snacks & Drinks
- Croissant breaks
Informal Culture
- High team spirit
- Flat hierarchies
Diverse Work
- Varied tasks
Learning & Development
- Generous training budget
- Training time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Wüest Partner and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Wüest Partner
Industry
Other
Description
Das Unternehmen ist ein innovatives und unabhängiges Dienstleistungsunternehmen in der Immobilienwirtschaft, das seit 1985 fundierte Entscheidungsgrundlagen schafft.
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