Research Associate Structural Survey of the Census

Neuenburg, Schweiz (and home office) | 80-80% Your contribution <br /> • 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 (likely in Python and/or R) • Collaborate on the redesign of specialized applications and systems for the structural survey • Create specifications for future statistical data preparation systems of the structural survey and prepare and conduct application tests <br /> What makes you unique <br /> • 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 Python, R, SQL, SAS and/or SPSS • Very good knowledge of two official languages as well as English <br /> In a nutshell Are you ready to help shape the technical redesign of the largest Swiss survey of persons and households? Are you flexible, motivated and very IT-savvy? Then the Produktion Strukturerhebung team looks forward to meeting you! What we offer <br /> • 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 opportunity, 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 (https://www.stelle.admin.ch/stelle/de/home/bundesverwaltung/ihre-vorteile-auf-einen-blick.html) <br /> Statistics counts. For you too. The Bundesamt für Statistik (BFS) is the national competence center for official statistics and a central actor in the Swiss data ecosystem. It produces statistical information, engages in national data management for harmonized data and develops the gaining of knowledge 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 Jean-Paul Kauthen Sektionschef +41 58 46 36591 Questions about the application Sandy Beetschen Personalbereichsverantwortlicher