Data Steward

As a Data Steward at the Faculty of Business, Economics and Statistics, you will manage the faculty Data Center, support researchers in the sustainable handling of research data and the development of strategies for discipline-specific and cross-disciplinary Research Data Management that complies with the FAIR principles and makes data findable, accessible, interoperable and re-usable. In this shared position between the Faculty of Business, Economics and Statistics and the Research Data Management Team of the University Library, you will inhabit a supporting role at the intersection between research and research infrastructure. Your workplace is located at the Deans' Office of the Faculty at the Oskar-Morgenstern Platz. Together with the researchers, experts from central research support services (University Library, Central IT, Research Services), as well as Data Stewards from other faculties/centres, you will further develop the Research Data Management at the faculty and University. You can expect a diverse and forward-looking work environment that offers room for personal growth and the unique opportunity to actively shape and further develop this role., * Support and advice for researchers and students with regard to data access and processing

• Managing data access
• Documenting how data is used by researchers and students
• Advising and assisting researchers in the areas of research data management and open science, including support in creating data management plans, organizing data, and preparing data for publication in appropriate repositories
• Designing and developing innovative discipline-specific services in the area of Research Data Management
• Building awareness for sustainable Research Data Management
• Developing workflows, policies and standards for Research Data Management
• Designing and delivering needs-based training on Research Data Management and Open Science
• Conducting needs assessments among the faculty
• Networking in university, national and international initiatives

The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through the new Data Stewardship program. The Faculty of Business, Economics and Statistics therefore looking for a highly motivated person (m/f/d) with an academic background in Business, Economics, Statistics, Computer Science or Natural Sciences and/or data stewardship for the position of a, Ideally, you have experience in the areas of data management and processing, quality control, data evaluation and analysis to understand reseacher's needs and offer tailored support. This position is temporary for a period of 3 years. By mutual agreement and if the corresponding funds are available, there may be an option for an extended/permanent employment., * Master's degree or a Diploma in one of the fields of study at the Faculty of Business, Economics and Statistics, Computer Science, Natural Sciences and/or experience in data stewardship

• Interest or experience in the area of Research Data Management and Open Science
• Good knowledge of research practice, as well as a broad understanding of how research operates and how data and software underpin reproducible research
• Experience with designing and delivering training
• Very good command of written and spoken English
• Good command of written and spoken German or a willingness to acquire it
• Willingness to learn
• Excellent interpersonal and communication skills
• Creativity and innovative spirit
• Service orientation, ability to work under pressure and flexibility
• Independent, accurate and systematic way of working
• Ability to work in a team

Work-life balance: You have flexible working hours and can also work remotely, with mutual consent also part-time.

Inspiring working atmosphere: You are part of a dedicated team with a diverse university background in a relaxed working environment.

Good public transport connections: Your new workplace is easily accessible by public transport.

Internal further training: We offer you the opportunity to deepen your skills on an ongoing basis.

Fair salary: The basic salary of EUR 3.450,30 increases if we can credit professional experience.