Research Associate Census Structure Survey
- Employment type
- Full-time
- Location
- Neuenburg · Remote possible
- Company
- Bundesamt für Statistik BFS, 2010 Neuenburg
- First posted
Research Associate Census Structure Survey
Neuenburg, Schweiz (and home office) \| 80\-80%
This is your contribution
Ensure automated processing of approx. 8'000 data deliveries during the survey phase
Write and execute database queries
Optimize, maintain, and execute statistical SAS programs for data preparation
Rewrite SAS programs (presumably in and/or R)
Collaborate on the redesign of specialist applications and systems for the structure survey
Create specifications for future statistical data preparation systems of the structure survey and prepare and conduct application tests
What makes you unique
University degree (Master) in the field of computer science, social, economic, or natural sciences
At least 3 years of professional and project experience, solid knowledge in creating specifications, data management, and quality control
Independent, structured, and team-oriented way of working, implementation-oriented, initiative
Proven, in-depth knowledge of R, SQL, SAS and/or SPSS
Very good knowledge of two official languages as well as English
In a nutshell
Are you ready to help shape the technical redesign of the largest survey of persons and households? Are you flexible, motivated, and very IT-savvy? Then the Production Structure Survey team looks forward to getting to know you!
What we offer
Working for Switzerland We are committed to the success model of Switzerland and work for the well-being of the population.
Lived diversity Thanks to equal opportunities, we develop our competencies and bring in different perspectives.
Healthy at the workplace We support and advise our employees in the area of physical and mental health.
All benefits
Statistics counts. Also for you.
The Federal Statistical Office (BFS) is the national competence center for public statistics and a central actor in the data ecosystem. It produces statistical information, works for harmonized data through national data management, and further develops knowledge acquisition from data using data science methods. In this way, the BFS contributes to public opinion formation and makes an important contribution to modern democratic governance.
Additional information
Questions about the position
\- Kauthen
Section Head
Questions about the application
Sandy Beetschen
Personnel area manager jpid2db2574jm jit0730jm jiy26jm
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Posted 3 weeks ago