Planning and Data Analyst (PP5009-24-338-R)

The Department provides information, insight and analysis to support evidenced-based decision making on institutional-wide strategy and planning. You will work across the University providing planning and analytical support to senior members of the department. As the lead system administrator and analyst for the University's Workload Allocation Management System (WAMS) you will work collaboratively across organisational boundaries with colleagues in Academic Schools and Professional Service Departments. The position requires examining and interpreting data from various sources, creating reports and briefings, and writing and revising policy documents., This is a permanent full-time post, 37 hours per week. We welcome applications from job-shares. Please note we reserve the right to close the advert early if we receive a high volume of applications. Further details: The University is committed to creating and maintaining an inclusive environment for all staff regardless of age, disability, family or caring responsibilities, gender identity, marital status, pregnancy or maternity, race, religion or belief (including non-belief), sex and sexual orientation. We embrace equality and diversity in our working, learning, research and teaching environment and are committed to maintaining a supportive and inclusive community. We particularly encourage applicants from Minority Ethnic backgrounds because the University is under-represented by Minority Ethnic staff. For the vast majority of our roles we operate an agile working system with time split between working on campus and at the employee's home. It is the University's expectation that home working will take place within the UK. Further information about working for us, as well as the wide range of benefits we offer, can be found in the

• Experience in system administration writing and providing guidance materials, undertaking complex analysis and producing insights and reports.
• Experience of applying quantitative techniques and analysis to complex data sets presenting the findings with confidence to a range of audiences.
• Experience in building constructive working relationships and engaging with colleagues; with strong communication skills, including the ability to explain sophisticated issues in non-technical language in a way that engages, informs and drives decision-making.
• Highly developed analytical skills with a strong eye for detail and ability to communicate complex information.
• Excellent IT skills and experience of using the full Microsoft Office package, including advanced use of Excel.
• Experience of working to tight deadlines and to manage changes of priority and schedule.
• Excellent organisational and prioritisation skills