University of Oxford

We’re hiring a Data Analyst role in our central data quality team part of Student Records within Education Services at the University of Oxford. We are looking for a person who enjoys working with data and able to apply business analysis and business rules in ensuring the highest quality for our student records. Working as part of a small cohesive team, we pride ourselves on our support and service to our collegiate University colleagues in our departments, divisions and colleges. Come and work with us!

Location: Examination Schools, 75-81 High Street, Oxford, OX1 4BG

Grade 6: £34,982 - £40,855 per annum

Contract: Full Time, Permanent

About Us

Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine consecutive years. A place where centuries of tradition meet world-changing innovation, we offer you the chance to shape the future while working in an inspiring environment that promotes excellence. Here, you’ll contribute to ground-breaking research that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations. Apply now to become part of our extraordinary legacy.

Education Services (formerly Student Registry)

We ensure the accuracy and security of the student record; manage and analyse data; and provide examination and assessment administration.

The student record is at the heart of Education Services’ work. Education Services’ activities support a range of student services, including visa management, fees and funding, support and welfare, examinations and award verification, as well as providing University decision-making bodies with the data required to make management decisions and submit statutory returns to HESA – Higher Education Statistics Agency.

What We Offer

Working at the University of Oxford offers several exclusive benefits, such as:

• 38 days of annual leave (inclusive of public holidays) to support your wellbeing, with the option to purchase up to 10 extra days and additional leave after long service.
• One of the most generous family leave schemes in UK higher education, offering up to 26 weeks of full-pay maternity and adoption leave, plus 12 weeks of full-pay paternity/partner leave. .
• A commitment to hybrid and flexible working to suit your lifestyle.
• An excellent contributory pension scheme.
• Affordable and sustainable commuting options, including a cycle loan scheme, discounted bus travel, and season ticket loans.
• Access to a vibrant community through our social, cultural, and sports clubs.

About the Role

The Data Quality Team is responsible for monitoring the quality of the student record, programme set-up, system data configuration, and compiling and submitting four of the University’s HESA (Higher Education Statistics Agency) returns. The team works closely with Graduate Studies Assistants in Divisions and Departments to monitor key areas of postgraduate student data as well as overseeing and supporting administrative processes.

The role of the Data Analyst involves the management of the quality of the graduate student record, as well as providing assistance to the team preparing the University’s student returns to the Higher Education Statistics Agency (HESA). The Data Analyst will have line management responsibility for a Senior Student Records Officer and will also be responsible for the student registration queries, annual rollover of the graduate student records and maintenance of the recognised student record.

About You

• Strong level of education or equivalent experience in an office administration environment.
• High level of attention to detail and data accuracy
• Excellent communication skills, both verbal and written, with an exceptionally high level of attention to detail.
• Proficient in the use of standard Microsoft tools (Word, Outlook, Access, Excel), and ability to learn new IT systems or packages quickly and confidently.
• Confident and accurate numerical and data processing skills with the ability to cope with high volume of routine processing.
• Good team working skills, with a flexible and enthusiastic approach to work and a willingness to move between many areas or work between two areas at once.

Application Process

To apply, please upload:

• A supporting statement setting out how you meet the selection criteria
• Your CV
• The details of two referees

The closing date for applications is 12 noon on 14 July 2025

Interviews will take place on 5 August 2025 and will be held in-person.