University of Oxford

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Senior Statistical Analyst @ University of Oxford

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About this role

Location: Wellington Square, Oxford, OX1 2JD

An exciting opportunity has arisen for a Senior Statistical Analyst to join us on a fixed-term basis until 31 July 2029.

Contract: Fixed Term (until 31 July 2029)

About Us

The University of Oxford has been ranked the world’s leading university for ten consecutive years. Combining centuries of tradition with world-changing innovation, we offer the opportunity to contribute to outstanding research and make a real impact. You’ll join a diverse, inclusive community that supports your wellbeing, development and career aspirations.

The Graduate Admissions and Recruitment Office works with applicants, academic departments and colleges to deliver graduate admissions and recruitment across the University, while advancing Oxford’s graduate access agenda.

What We Offer

Working at the University of Oxford includes:

38 days' annual leave (including public holidays), with the option to purchase up to 10 additional days. Generous family leave, including up to 26 weeks' full-pay maternity and adoption leave, plus a further 12 weeks' full pay. Hybrid and flexible working. An excellent contributory pension scheme. Sustainable travel benefits, including cycle loans, discounted bus travel and season ticket loans. Access to a wide range of social, cultural and sports clubs.

About the Role

This role leads the statistical analysis and evaluation of graduate access and widening participation (WP) initiatives designed to improve the diversity of Oxford’s graduate student population.

Working closely with the Evaluation Manager, graduate access and WP specialists across the University’s four academic divisions, and other colleagues, you will provide expert analysis to support the delivery, monitoring and continuous development of the University’s Graduate Access Recruitment Strategy.

About You

You will have:

Advanced statistical analysis skills, with experience using packages such as SPSS, R or Python. Excellent knowledge of statistical methods, including regression modelling. Experience managing large-scale data projects and delivering accurate analysis to tight deadlines. Strong written and verbal communication skills, with the ability to work effectively with colleagues at all levels. Excellent stakeholder management and a customer-focused approach. Knowledge of issues relating to outreach and applicant data, including data protection, quality assurance and the handling of special category data. The ability to work independently and collaboratively.

Sponsorship and Right to Work

This role meets the criteria for sponsorship under the Skilled Worker visa. The University will meet the cost of the Skilled Worker visa and NHS surcharge for successful applicants who require sponsorship. Please indicate in your application if you require sponsorship.

Application Process

To apply, please upload:

A covering letter/supporting statement Your CV Details of two referees

Closing date: 12 noon, Monday 17 August 2026

Interviews: Monday 7 September 2026 (face-to-face)

Skills

Software EngineeringStatisticsComputer SciencesMathematics & StatisticsAcademic or ResearchAcademicHigher Education

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