University of Hertfordshire

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Data Analyst @ University of Hertfordshire

Hatfield, HybridHybridFull-time
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About this role

FTE: 1.0 FTE (working 37 hours per week)

Duration of Contract: Permanent

Annual Leave: 30 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year

Location: Hybrid – De Havilland Campus, MacLaurin Building, and at home

The University of Hertfordshire is looking for a skilled, motivated and proactive Data Analyst to join our Insight Team to support the University in transforming lives and achieving its strategic goals.

Main duties and responsibilities

As a member of the Insight team, your key responsibility will not only be to report on existing trends and ongoing recruitment performance but to identify and evaluate opportunities. To achieve this, you would be expected to be able to interpret and convert large complex data sets, using a range of methods and data transformation tools such as Tableau Prep or Microsoft Excel, into appropriate formatting for data visualisation. Most commonly, this would involve analysing data published by UCAS, HESA or our own admissions data.

You will also be asked to create forecasts and models on university applications and acceptances and summarise and present comprehensive analytical findings in a variety of formats (including written reports), targeting different audiences to help convey key messages and inform Departmental or University policy and decision-making. The Data Analyst would additionally undertake bespoke research and analyses in response to requests from the department.

Skills and experience required

You will have experience working within a similar market intelligence focused insight/research/ analytical role and demonstrable experience of constructively challenging assumptions and traditional views, identifying issues and generating/implementing new, and adapting the tried and tested approaches to develop solutions to challenges and opportunities. Demonstrable experience of using specialist analytical and reporting software or advanced functionality of Microsoft Excel, employing a range of practices to analyse and explain complex data sets and demonstrable experience of using data visualisation software e.g. Tableau, Qlikview and Power BI to help uncover the stories behind the data is essential.

Qualifications required

You will be educated with a minimum of a Degree or equivalent in a numerical subject such as Mathematics, Physics, Computer Science or similar or equivalent proven experience.

Please view the job description and person specification for a full list of the duties and essential criteria, click the 'Apply' button above. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.

Internal applicants – please ensure you apply via your employee self-service portal.

An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.

We regret that we are unable to offer UKVI sponsorship for this post; applicants will either hold UK Right to Work or demonstrate access to UK Right to Work before an offer is made.

Contact Details/Informal Enquiries: Andre Grant Head of Insight - [email protected]

Closing Date: 05 July 2026

Interview Date: TBC

Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts

Skills

Physics & AstronomyMathematicsMathematics & StatisticsPhysical & Environmental SciencesAcademic or ResearchAcademicHigher EducationComputer SciencesComputer Science

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