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Information Analyst

University of Oxford - Humanities Divisional Office, Stephen A. Schwarzman Centre for the Humanities

Location: Oxford
Salary: £39,424 to £47,779 (pro rata if part time). Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 19th August 2026
Closes: 11th September 2026
Job Ref: 188199

Location: Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG

Contract type: Fixed Term for 3 years

Hours: Full time (part time up to 0.8 considered)

Help turn data into insight that supports decision-making across the Humanities Division.

About the role

Reporting primarily to the Head of Building Operations, with matrix line management to the Deputy Divisional Registrar, you will provide business intelligence support to the Humanities Division and Divisional Board. You will work with colleagues to understand what data is needed, where it comes from and how it can be turned into clear, timely and useful reporting. A key part of the role is developing robust systems for gathering specialist and non-specialist data, then using that information to support strategic and operational decision-making. You will create dashboards, visualisations and reporting tools that help colleagues spot trends, identify issues and communicate findings effectively. The role also involves improving how data is collected, stored and shared, including exploring opportunities to automate routine tasks, strengthen data quality and make analysis more efficient.

About you 

You will have experience of developing and maintaining reporting solutions that respond to evolving business needs, and the confidence to translate user requirements into clear, accessible and accurate outputs. Practical experience with Microsoft Power BI is essential, together with an understanding of how Power Automate can improve the efficiency, consistency and timeliness of reporting activities. You will be comfortable integrating data from a range of sources and structuring it so it can be used effectively for reporting and visualisation. Strong attention to detail is important, as is the ability to spot errors, question data quality and explain findings clearly to a range of audiences. Experience of working with suppliers to improve reporting processes, automation and data integrity would be valuable, and knowledge of data warehousing or forecasting methods would be an advantage.

The duties and skills required are described in further detail in the job description.

Application process

Applications for this vacancy are to be made online via the above 'Apply' button, where the job description and access to the online recruitment system can also be found.

Applications should be submitted online and include a CV and a supporting statement. 

As part of your application, you will be asked to provide details of two referees and indicate whether we can contact them now.

For further details, please refer to the How to apply section of the job description. Any further enquires may be directed to hr@humanities.ox.ac.uk.

The closing date for applications is 12.00 noon on Friday 11th September 2026. Only applications received before this time can be considered.

Please quote Vacancy ID 188199 on all correspondence.

We welcome applications from a broad and diverse range of applicants: if you have any access needs or requirements to make your application journey more accessible, please let us know and we will do our best to facilitate.

Committed to equality and valuing diversity

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