At a Glance
- Tasks: Manage data returns and BI reporting while analysing large datasets.
- Company: Join the University of Suffolk's Planning and Management Information team.
- Benefits: Enjoy staff benefits in a supportive and collaborative environment.
- Other info: Great opportunity for career growth in a dynamic university setting.
- Why this job: Make a difference in higher education through impactful data insights.
- Qualifications: Experience with SQL Server, Excel, and preferably Power BI.
The predicted salary is between 40000 - 50000 £ per year.
University of Suffolk is seeking an experienced data professional to join the Planning and Management Information team to ensure timely statutory data returns and BI reporting.
You will work with large datasets, extract and analyse data, and communicate findings across the University.
Experience with SQL Server scripting and Excel is essential; Power BI is used for reporting, and higher education experience is desirable.
Staff benefits and a collaborative team environment are highlighted.
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Data & Returns Manager - Insight & Compliance employer: Technical University of Denmark
The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.
Contact Details:
Technical University of Denmark Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Returns Manager - Insight & Compliance
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We think you need these skills to ace Data & Returns Manager - Insight & Compliance
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Technical University of Denmark
✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
