Data Analyst (all genders welcome)

At the University of Göttingen -Public Law Foundation-, Niedersächsische Staats- und Universitätsbibliothek, there is a position as

Data Analyst (all genders welcome)
Entgeltgruppe 13 TV-L/100%

to be filled. Starting date is as soon as possible. The position is limited to 31 December 2026.

The Göttingen State and University Library (SUB Göttingen) has been involved in national and international projects in the fields of data analytics and open access for many years.
In this context, a position
Data Analyst (m/f/d)
-E13 TV-L, full-time, temporary
at the SUB Göttingen full-time (currently 39.8 hours per week) to be filled as soon as possible. The position is suitable for part-time work and is limited to 31st December 2026.
As a Data Analyst, you will support the work in third-party funded projects. The focus is on supporting bibliometric research and its application in libraries with a focus on open access. To this end, you will provide data from various sources in a data warehouse and evaluate them. You will also teach computational  skills to empower librarians preparing, negotiating and implementing open access agreements.
Your specific tasks include
1) Collaboration in the BMBF-funded Kompetenznetzwerk Bibliometrie

• Analysing data on open access publishing from various sources
• Collaboration in the development of an open bibliometric database about research in Germany with a focus on open access evidence
• Collaboration in the preparation of application-oriented information science research articles

2) Collaboration in the DFG project "Data practice for shaping the open access transformation - analysis, recommendation, training & networking (OA data practice)"

• Analysing transformative agreements with regard to the provision of open metadata and data-analytical research services
• Design, development and testing of a Carpentries curriculum for the application-oriented analysis of open access publishing
• Contributing to the development of strategic recommendations

Expected

• University degree (Master's or comparable degree)
• Experience in data analysis e.g. with SQL, Python or R
• Knowledge about scholarly communication and open access
• Critical thinking and problem-solving skills
• Very good communication and presentation skills
• Very good knowledge of English

Desirable

• Knowledge of the structure and use of bibliometric databases
• Experience with cloud computing services
• Knowledge of quality assurance procedures in statistical programming
• Knowledge of the Carpentries initiative
• Involvement in open source / open science communities

We offer you interdisciplinary and exciting project work in a committed team in a cooperative working atmosphere. We use open and commercial data (e.g. data from the Kompetenznetzwerk Bibliometrie) and professional working environments (e.g. GWDG and Google Cloud Computing) for data analyses. We also support flexible working such as remote work (partly) and training for professional development.

The position is based at the Stabsstelle Wissen als Gemeingut.

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

Please upload your application in one pdf file including the usual documents until 3/6/2024 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/74393 . For more information get in touch with Najko Jahn directly via E-Mail: [email protected], Tel. +49 551 39 25804 .

Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)