

University of Cambridge
Data Analyst (Fixed Term)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (Fixed Term) at the University of Cambridge, offering a 6-month contract with a hybrid work location. Key skills include BI, complex data analysis, and statistical methods; experience with large datasets is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 22, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
Cambridge, England, United Kingdom
-
🧠 - Skills detailed
#Datasets #Data Analysis #BI (Business Intelligence)
Role description
The Role
The University of Cambridge is seeking an experienced Data Analyst to support the delivery of the Reimagining Professional Services (RPS) programme, an ambitious initiative which aims to create a compelling new future for professional services across the University of Cambridge. This role is part of large-scale initiatives aimed at adopting new ways of working to support our staff and academic mission.
The nature of the RPS programme will mean working with multi-disciplinary teams on improvements to University services and operations and the Data Analyst will be vital in providing key management information and analysis to support this work.
Key Responsibilities
The primary focus of the role is to independently develop and maintain solutions for provision of business intelligence (BI) and performance indicators, and to prepare analysis of quantitative data required by a variety of internal stakeholders. The work will use a structure of data concepts and relationships describing operational effectiveness, benchmarking and cost, and will contribute to its further development, communication and refinement.
The programme will offer the role holder an opportunity to get involved in a variety of tasks, supported by colleagues from a range of disciplines, enabling staff to both share their knowledge and to learn and develop their practice from different perspectives.
If you're looking for a new challenge with excellent benefits, extensive learning opportunities and a stimulating working environment, this is the place for you.
Fixed-term: The funds for this post are available for 6 months.
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.
We Are Looking For
With your strong analytical skills, you will have: - Experience with analysis of complex data and dealing with big and multiple-source datasets, knowledge of statistical methods and their appropriate use. - Strong skills in attention to detail and accuracy and be able to work as part of a team as well as individually - The ability to communicate well with colleagues across the University at all levels.
The ideal candidate will bring a pragmatic but methodical approach, utilising and applying their analytical skills to support programme goals.
The Benefits
In return, you will receive an extensive reward/benefit package including: - 41 days annual leave (including bank holidays) - Flexible/hybrid working
• Excellent benefits including a generous pension scheme, discount portal, cycle to work scheme, access to the university accommodation service, scheme for the reimbursement of relocation expenses, employee assistance programme, family-friendly policies along with many more.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department/institution/Faculty/School/University.
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.
The Interview Process
Shortlisted candidates will be invited to in person interviews in the week commencing Monday 18th May 2026.
Additional information regarding the role can be found within the further information file. If you wish to discuss this role in more detail, enquiries are welcome. Please contact Louise Hurst via the Change and Programme Management Office, at change@admin.cam.ac.uk.
Questions about the application process should be addressed to the Resourcing team at resourcingqueries@admin.cam.ac.uk
Please quote reference YV49398 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.
The Role
The University of Cambridge is seeking an experienced Data Analyst to support the delivery of the Reimagining Professional Services (RPS) programme, an ambitious initiative which aims to create a compelling new future for professional services across the University of Cambridge. This role is part of large-scale initiatives aimed at adopting new ways of working to support our staff and academic mission.
The nature of the RPS programme will mean working with multi-disciplinary teams on improvements to University services and operations and the Data Analyst will be vital in providing key management information and analysis to support this work.
Key Responsibilities
The primary focus of the role is to independently develop and maintain solutions for provision of business intelligence (BI) and performance indicators, and to prepare analysis of quantitative data required by a variety of internal stakeholders. The work will use a structure of data concepts and relationships describing operational effectiveness, benchmarking and cost, and will contribute to its further development, communication and refinement.
The programme will offer the role holder an opportunity to get involved in a variety of tasks, supported by colleagues from a range of disciplines, enabling staff to both share their knowledge and to learn and develop their practice from different perspectives.
If you're looking for a new challenge with excellent benefits, extensive learning opportunities and a stimulating working environment, this is the place for you.
Fixed-term: The funds for this post are available for 6 months.
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.
We Are Looking For
With your strong analytical skills, you will have: - Experience with analysis of complex data and dealing with big and multiple-source datasets, knowledge of statistical methods and their appropriate use. - Strong skills in attention to detail and accuracy and be able to work as part of a team as well as individually - The ability to communicate well with colleagues across the University at all levels.
The ideal candidate will bring a pragmatic but methodical approach, utilising and applying their analytical skills to support programme goals.
The Benefits
In return, you will receive an extensive reward/benefit package including: - 41 days annual leave (including bank holidays) - Flexible/hybrid working
• Excellent benefits including a generous pension scheme, discount portal, cycle to work scheme, access to the university accommodation service, scheme for the reimbursement of relocation expenses, employee assistance programme, family-friendly policies along with many more.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department/institution/Faculty/School/University.
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.
The Interview Process
Shortlisted candidates will be invited to in person interviews in the week commencing Monday 18th May 2026.
Additional information regarding the role can be found within the further information file. If you wish to discuss this role in more detail, enquiries are welcome. Please contact Louise Hurst via the Change and Programme Management Office, at change@admin.cam.ac.uk.
Questions about the application process should be addressed to the Resourcing team at resourcingqueries@admin.cam.ac.uk
Please quote reference YV49398 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.






