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- Together with the team, you will advise and support our customers in data analytics and data driven transformation mandates.
- You will also take responsibility for projects with a focus on big data.
- You also take care of topics such as Analytics Solutions & Trends, Data Science Lab & Services, Data Driven Transformation and Data Engineering.
- In addition to the project business, you will support us in the acquisition and further development of the Eraneos Data Lab with big data technologies.
- You would like to support our team and customers with your knowledge in the areas of data analytics, machine learning and big data.
- You have practical consulting or project management experience (not research).
- Big Data and Analytics Architecture are topics that interest you.
- As a communicative person, you enjoy working with people and approach new topics and industries with curiosity.
Consultant Data Analytics - Zürich, Schweiz - Eraneos Switzerland AG
Beschreibung
Our cross-border Data & AI team helps companies unlock the potential hidden in their data. With our deep expertise in data analytics, machine learning and artificial intelligence, we help companies harness the power of their data to make informed decisions and achieve transformative results.
Whether through advanced analytics, predictive modeling or generative AI solutions, we enable companies to gain valuable insights, optimize processes and innovate across industries.
As an employee of Eraneos, you are part of a dynamic team that is helping to shape the future of data and AI and significantly influence the success of our customers. Let's harness the power of data and AI together and create a better future through innovation and cutting-edge technology.
This is the job - your main tasks at Eraneos
We do not consider applications via email or from personnel service providers.
Nadine will be happy to provide you with further information ).
Our top priority is that you fit with us and we fit with you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, disability or other aspects of diversity.