An application made for this job — a tailored resume and cover letter that speak straight to the posting.
The University of Greenwich is seeking a skilled Research Culture Data and Evaluation Analyst to support the SPRE framework, aligned to REF 2029 and Strategy 2030. You will collect, link and analyse datasets, developing insights that drive institutional change in research culture.
You will collaborate with Strategic Planning, GRI, EDI and People Directorate to build an evidence base for decision-making, delivering dashboards and evaluation frameworks across the university.
Location: Greenwich Campus
Salary: £38,784 to £44,746plus £5476 London weighting per annum
ContractType: Fixed Term
ReleaseDate: Thursday 10 September 2026
ClosingDate: Thursday 24 September 2026
InterviewDate: To be confirmed
Reference: 5505
Research Culture Data and Evaluation Analyst
Grade: SG7 | Department: Strategic Planning | Fixed-term
The University of Greenwich is looking for a skilled and insight-driven Research Culture Data and Evaluation Analyst to support the development and delivery of our Strategy, People, and Research Environment (SPRE) Framework, aligned to REF 2029 and Strategy 2030.
This is an exciting opportunity to help shape how research culture is understood, evaluated and improved across the University. Working within Strategic Planning and collaborating closely with Greenwich Research & Innovation (GRI), EDI, People Directorate, Sustainability teams and faculty leadership, you will play a central role in building an evidence base that informs strategic decision-making and drives meaningful institutional change.
The postholder will lead on collecting, linking, analysing and interpreting a wide range of institutional datasets and mixed-methods evidence to support research culture evaluation, institutional reporting and REF environment development.
Duties and responsibilities will typically include working as part of a team to:
Furthermore, applicants should be able to demonstrate:
Experience working within Higher Education supporting REF, KEF or institutional reporting activities, would be advantageous. Experience using tools such as Power BI, R, Python, SPSS or similar analytical platforms would also be beneficial.
We are looking for people who can help us deliver our mission of transforming lives through inspired teaching and research, through our values.
We are committed to building a strong, diverse workforce that reflects the communities we serve. We particularly encourage applications from [protected characteristic(s)], who are currently under-represented within the University of Greenwich at these levels/within these areas.
We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job application form.
We are making significant strides to understand and continuously improve our employees’ experience, and we are committed to implementing progressive diversity talent management.