Location: | Leeds |
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Salary: | £39,105 to £46,485 Grade 7 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 22nd October 2024 |
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Closes: | 10th November 2024 |
Job Ref: | CSSPO1103 |
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Do you have strong analytical skills and a questioning nature? Are you experienced in drawing insight from data and passionate about using data visualisation to support evidence-based decision making?
Based within Strategy and Planning, you will lead on the development and delivery of our business intelligence and analytical reports. The Business Intelligence and Data Analytics team provide high quality data visualisations and analysis to help answer key institutional questions and enable evidence-based decision making. This involves working across the student education lifecycle, research and innovation, and other priority areas in particular admissions and supporting confirmation and clearing during August.
This is an exciting opportunity for a self-motivated, proactive individual with strong analytical and communication skills and a questioning nature to become part of a key central support service.
You will have demonstrable experience of leading the production of high-quality business intelligence, data visualisations and analytical reports to support business decisions and be able to communicate findings to a range of stakeholders. You will have a proven track record of delivering practical results, managing projects and problem solving and be able to work under pressure, possessing strong organisational skills. You will also be able to prioritise workloads and work to tight deadlines.
You will be self-directing but also work as part of a team and with colleagues across the University. The nature of the role means that there will be a requirement for very occasional weekend and/or evening work.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Richard Puttock, Head of Business Intelligence and Data Analytics
Email: R.Puttock@leeds.ac.uk
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