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Senior Statistical Analyst

This role is for a Senior Statistical Analyst on a fixed-term contract until 31 July 2029, offering a hybrid work location and a pay rate of "unknown." Key skills include proficiency in R, Python, SPSS, and experience with regression modeling and data management.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
260
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
Oxford
🧠 - Skills detailed
#Python #Data Analysis #SPSS (Statistical Package for the Social Sciences) #R #Strategy #Regression #Quality Assurance
Role description
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Job Title: Senior Statistical Analyst

Department/Division/Faculty: Graduate Admissions & Recruitment, Academic Administration Division

Grade: 8

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.

The Graduate Admissions and Recruitment Office works closely with applicants, and all academic departments and colleges to deliver admissions and recruitment for the whole University, and further the ground-breaking and innovative graduate access agenda.

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

What We Offer

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

38 days of annual leave 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 maternity and adoption leave schemes in UK higher education, offering up to 26 weeks of full-pay leave, followed by additional statutory and unpaid leave options.

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

This exciting role has been created to lead on the statistical data analysis of graduate access and widening participation (WP) initiatives introduced at Oxford in recent years to improve the diversity of the graduate student population. The University is also recruiting an Evaluation Manager with responsibility for graduate access and WP, as well as four new posts specialising in graduate access and WP with responsibility for each of the four academic divisions. The senior statistical analyst with work very closely with post-holders in these roles and other existing posts with graduate access and WP responsibilities to support the delivery and on-going review of the University’s first Graduate Access Recruitment Strategy.

About You

You are a talented statistical analyst looking to bring your advanced analytical skills to help improve the effectiveness of graduate access and widening participation schemes within the University of Oxford.

You have extensive experience of one or more statistical packages (e.g. SPSS, R, Python), and excellent understanding of common and advanced statistical methods (including regression modelling).

You have proven experience of managing large-scale data related projects with the ability to produce detailed and accurate work, to tight deadlines with excellent time management.

You have the ability to communicate effectively orally and in writing with staff across the university, including at a senior level.

You have strong stakeholder engagement skills, showing a customer-focused approach to delivery

You have an awareness of the issues relating to the provision and analysis of outreach and applicant data, especially in relation to data protection, quality assurance and enhancement and sensitivities around special category data.

You are equally comfortable working independently or collaboratively across a team.

Application Process

To apply, please upload the following in PDF format:

A covering letter/supporting statement

Your CV

The details of two referees

The closing date for applications is 12 noon on 6 March 2025.

Interviews are planned to take place on 24 March 2024 and will be held in person.