Academic data and quality assurance manager (m/f/d)
Bremen
Constructor University
A private, English-speaking campus university in Germany with the highest standards in research and teaching following an interdisciplinary concept.If you enjoy a dynamic, international working environment and like to work in a highly motivated and friendly team, you are in the right place! You can expect an open corporate culture with flat hierarchies as well as interesting and challenging tasks. As part of your induction, you will be optimally prepared for your area of responsibility.
Become part of our Constructor Community and complete the team "Quality Management" in the north of Bremen from 01.12.2024 in Full-Time as
Academic data and quality assurance manager (m/w/d)Your responsibilities:
Collect and re-elaborate academic data and student survey results into a user-friendly format, facilitating interpretation, analysis, and use internally, especially by faculty.
Ensure the accuracy and integrity of data collected.
Support the monitoring of study programs and student services.
Enhance a Quality culture within the University, emphasizing the importance of a data
Supported internal quality assurance system for successful accreditation and reaccreditation.
Prepare comprehensive academic data reports for relevant internal and external stakeholders, including external accreditation experts.
Support data collection, compile data, and create reports for rankings, ensuring the accuracy and integrity of data collected from various sources.
Use data visualization tools to support quality assurance - related academic decision-making processes.
Support and maintain databases for academic data and student survey results.
Ensure data security and compliance with privacy regulations.
Design, distribute and prepare data regarding student surveys.
Support faculty and administrative departments in interpreting survey results and implementing improvements.
Develop and optimize evaluation processes, methods and instruments.
Your profile:
A relevant, completed professional degree program
Experience in the use of quantitative methods, statistical surveys, reasoned selection of variables,
and critical analysis and interpretation of data
Experience using survey instruments and commercially available survey software
Demonstrated advanced knowledge of statistical and analytical tools such as SPSS, R, and Excel, and in other Microsoft Office programs
Demonstrated attention to detail and precision in work, ensuring accuracy and consistency.
What you can expect at Constructor University:
As an international, private university of global standing, we are on a path of further growth and expansion of our product portfolio. Join us and complement our international teams!
Flexible working hours for work-life balance
Option for remote work
Individual onboarding, support, and development planning
Corporate fitness with EGYM Well Pass (formerly Qualitrain)
Green campus with recreational areas and extensive dining options
Constructor University has comprehensive sustainability and environmental programs
Constructor University is dedicated to equal opportunity employment and invites applications from individuals of all backgrounds, irrespective of gender identity, gender expression, age, physical characteristics, disability, nationality, ethnic and cultural backgrounds, social and political affiliations, religion, family status, pregnancy, or sexual orientation. We are committed to ensuring fair treatment for all applicants and preventing any form of discrimination. Constructor University actively encourages applications from women and minority groups. Particularly, we invite candidates with extensive international experience to apply, aiming to further enrich the diversity of our university.
Your application:
For any further information regarding this position, please contact Dörte Etzrodt (HR Business Partner), via Mail at detzrodt@constructor.university
Apply today - it's simple and uncomplicated. We look forward to getting to know you. Click on the Apply Button and proceed through the individual steps to complete your application.
The review of applications will begin immediately and will continue until the position is filled.
Please note that only applications submitted through the official application portal will be considered for recognition.
If you like working with happy, enthusiastic colleagues, you'll enjoy your career with us!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data visualization Excel Privacy R Security SPSS Statistics
Perks/benefits: Career development Flex hours Team events
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