Senior/Research Information Analyst
Are you interested in analysing data to help shape conversations, polices, and procedures? Do you like to work with people to understand their problems and think up solutions? Do you thrive on the opportunity to learn new ways of working in a fast-paced environment, and promote continuous improvement?
The University of Cambridge Research Office wishes to appoint Research Information Analysts to support the University's submission for the Research Excellence Framework (REF) 2029. This is an excellent opportunity to join the University of Cambridge Research Information team at an exciting time and in a dynamic role.
Candidates should be able to demonstrate excellent organisational, communication and interpersonal skills - including the ability to liaise credibly with academic colleagues and researchers and external contacts. You will be well-organised, proactive, and responsive, with the ability to communicate complex data at all levels and to work well within and across teams. With an excellent level of attention to detail, you will be able to prioritise effectively and work quickly and accurately. You will be flexible and adaptable, with excellent problem-solving skills and the ability to remain calm under pressure whilst managing workloads to meet multiple deadlines.
The post holder will work with professional services colleagues to support and maintain the University's research information in preparation for REF2029. This will involve building capacity and technical solutions for analysis reporting, and supporting their effective implementation across the University. Acquiring a thorough understanding of the way research and researchers work in a variety of disciplines is essential to performing the role well.
A problem-solving attitude and an eye for opportunities to work more effectively would be highly valuable assets in this role. You will need a good understanding of the way databases work, and some understanding or experience of data connectors, APIs, statistics, and Extract, Transform and Load (ETL) processes in R or Python would be great additional skills to bring to the team. Because the nature of the questions we face as a team, the role will necessarily involve a lot of data curation and preparation in order to be able to provide analyses and then to be able to describe both the insight they provide and, ultimately, their limitations.
If this is an environment you could thrive in, click the "Apply" button below to register an account with our recruitment system and apply online.
We are currently recruiting for:
Senior Research Information Analyst, Grade 8
Research Information Analysts, Grade 7
Please highlight in your application which role you are applying for.
Fixed-term: Fixed-term: The funds for this post are available for two years in the first instance.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.
The University is supportive of hybrid working, where the majority of work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows. This arrangement is subject to change and will not form a part of the contractual terms of the role.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
When applying, please upload your CV and cover letter which clearly sets out how you meet the criteria listed in the person specification (the knowledge, skills, and experience required for the role) along with relevant examples. Candidates will be shortlisted and invited to interview based upon these criteria.
Closing date is 14th February 2025, interviews will be held during the period 26th-28th February 2025.
Questions about the application process should be addressed to the Research Office Recruitment team at crorecruitment@admin.cam.ac.uk
Please quote reference EW43781 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.