University Intern Data Management and MODI — Confederazione Svizzera
NewCHF 68'500 - 104'000
Confederazione Svizzera · Ittigen (BE)
- Location
- Ittigen
- Contract
- other
- Posted
- Yesterday
SalaryCHF 68'500 - 104'000
Role overview
Support the development of data management in the BAV and create aids, tools and documentation
Accompany the specialist sections of the BAV in the description of data and metadata
Support the project team in the preparation of the MODI and thereby edit basic documents, create means of communication and organize and carry out events
- Support the development of data management in the BAV and create aids, tools and documentation
- Accompany the specialist sections of the BAV in the description of data and metadata
Contacts
- stakeholders (federal government, cantons, cities and companies) in order to To collect information on non-public metadata
- Support in setting up the MODI enterprise architecture
- Master's or bachelor's degree (University, ETH, FH) in the field of environmental/earth sciences, geomatics/surveying, transportation, MINT or equivalent training.
- The degree must not have been completed more than 18 months ago
- Initial experience in the field of data management Knowledge of using AI tools
- Interest in the topics of databases, data analysis and processing and business and data architecture Quick comprehension and analytical skills
- Good editorial and communication skills in at least one official language, active knowledge of a second official language
Additional details
- Contact stakeholders (federal government, cantons, cities and companies) in order to To collect information on non-public metadata
- Initial experience in the field of data management Knowledge of using AI tools
- Interest in the topics of databases, data analysis and processing and business and data architecture Quick comprehension and analytical skills
Notes and original content
- Initial experience in the field of data management
- Knowledge of using AI tools
- Interest in the topics of databases, data analysis and processing and business and data architecture
- Quick comprehension and analytical skills
