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Research Management Information Analyst

University of Sussex -
Brighton

Apply Now

Job details

Full-time
£34,610 - £41,700 a year

Benefits

Cycle to work scheme
UK visa sponsorship

Qualifications

Business intelligence
Analysis skills

Full job description

Location

Brighton, UK

Hours

Full-time considered up to a maximum of 1.0 FTE (37.5 hours) Requests for flexible working options will be considered (subject to business need).

Salary

Grade 6 starting at £34,610 to £38,784 per annum, pro rata if part time.

Contract Type

Fixed Term Contract

About the role

Following on from our excellent REF 2021 results, and in preparation for REF 2029, this is a fantastic time to join a cohesive and friendly team.

This particularly exciting role has a focus on developing systems for the collection and organisation of data, producing reports to inform decision making, as well as providing system admin support for the core systems in use in the Division.

The successful candidate will have the opportunity to work with academic and professional services colleagues across the institution, helping to deliver the vital management information which underpins and informs our Research Aims and Ambitions.

About you

You will have extensive experience of delivering insightful business intelligence, ideally within a Higher Education setting. You will have the skills to manage your own workload and at times, support other colleagues.

You will also have strong analytical skills, display excellent attention to detail and an ability to communicate complex information to technical and non-technical audiences visually, in written form and verbally.

About our Division

The Research Information, Quality and Impact Team is a highly collaborative team who work together on projects and activities central to the University of Sussex’s research strategy and management.

The Research and Innovation Services Division, within which the team is based, is a leading developer of ideas and innovations that contribute to the Global Community. Our Strategy focuses on People, Research Strengths, Interdisciplinarity, Integrity, Grant Capture, and International Reputation.

The Division is based in Falmer House, in the heart of the Sussex campus, surrounded by leafy green space and on the doorstep of the South Downs National Park, the boundary of which begins only a few metres from the office, making it ideal for a lunchtime walk, run or cycle.

Why work here

Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme.

Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.

Find out about our equality, diversity and inclusion.

Further Key Information

Please contact Lorena Croitoru ([email protected]) for informal enquiries.

The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds.

Eligibility

Visa Sponsorship Queries: This role may be eligible for visa sponsorship under the Skilled Worker route. The assigned SOC code is 3544 Data Analysts and the going rate is £41,700. This role is classified at level RQF 3-5 and eligibility for sponsorship will depend on whether the candidate holds an existing Skilled Worker sponsorship which began before 22 July 2025.

The University requires that work undertaken for the University is performed in the UK.

July 12, 2026 5:59 PM

Expected Interview Date

To Be Confirmed.

Expected Start Date

August 2026

Fixed Term Contract Duration

Fixed Term until 31 July 2027.

Apply Now

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