On the 1 August 2026, The University of Greenwich and the University of Kent will form a pioneering new multi-university group called London and South- East (LASE) University Group. Should you join us, you will be employed by LASE but will work as part of the University of Kent academic division, contributing to its distinct strengths, community and identity while also being part of a wider group that brings together the scale, resilience and shared ambition of both universities. Through LASE we aim to deliver outstanding education, impactful research, and meaningful regional and global impact.
Are you an experienced Research Analyst with a passion for using data to evaluate impact and influence practice across the higher education sector?
As Research Analyst, you will play a key role in delivering high-quality quantitative research for the HEAT membership, helping to shape the evaluation of widening participation activities across the UK. Working with large longitudinal datasets, you will produce robust analysis, develop insightful reporting and communicate complex findings in an accessible way, enabling members to make evidence-based decisions and maximise the impact of their work.
As Research Analyst you can expect to be involved in:
- Producing evaluation datasets and reports using robust analytical methods to support evidence-based decision making by HEAT members
- Developing business intelligence dashboards using tools such as Power BI to translate complex data into accessible insights
- Applying advanced analytical techniques to longitudinal datasets to generate evidence on the impact of educational interventions
- Presenting research findings to internal and external audiences to communicate insights and influence practice across the sector.
What will you bring to the role?
- BA/BSc in a relevant degree (Social Science) or equivalent
- Proven experience of designing evaluation based on large datasets to examine the impact of a social intervention
- Experience of building Power BI or other dashboards
- Experience of data analysis software e.g. R, SPSS, Excel.
As a member of our team, you can expect a friendly, open and collaborative working environment and support in your development and wellbeing. You'll enjoy a range of great staff benefits including:
• 43 days' leave per year (personal leave, bank holidays and additional days allocated for the Christmas period, pro rata for part-time staff)
• Excellent pension scheme with generous employer contributions
• Corporate employee-funded healthcare plan, in partnership with Benenden Health
For more information about what you can look forward to if you join us, visit our dedicated webpage: Working at Kent
We are ambitious for our people, our communities and the region we serve – join us in making the world a better place. Visit our website for more on who we are: http://www.kent.ac.uk/about/
Please see the links below to view the full job description and to apply for this post. For further information regarding the application process, please contact peopleserviceshr@kent.ac.uk quoting reference number CSF-1156-26.
*Occasionally we may need to close a vacancy before the published deadline due to a high number of applications being received, therefore we strongly advise you to submit your application as soon as possible. (All vacancies will be open for at least one week.)
PLEASE NOTE: We prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.
We know applicants may use AI tools to help prepare job applications. For guidance on how to use AI responsibly and effectively, see: Using AI in your job application
Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.
The University of Kent values diversity and equality at all levels.