Hourly Paid Academic in Sports Business Analytics

London, London, United Kingdom St Mary’s University, Twickenham Overview

As the University builds on its proud heritage, we are looking for exceptional people to help shape our future. We provide a high-quality professional environment, inspired by our distinctive ethos and Catholic mission and values. Our values of excellence, generosity of spirit, inclusiveness and respect inspire us to create an academic community in which everybody is welcomed and which puts the student at the centre of all our endeavours.

Job Summary

St Mary's University is seeking a sport analytics specialist to convene, teach and assess Sports Business Analytics, a master's-level module running in Semester 1 of 2026/27.

The subject is how sport organisations actually use data: ticketing and CRM segmentation, attendance modelling and demand forecasting, dynamic pricing, sponsorship valuation and ROI, media rights and audience projection, and participation, community and impact measurement. Students build dashboards, work with multi-source datasets, and complete a consultancy-style portfolio including a board paper and a sponsor pitch deck.

You would convene the module, develop the handbook, virtual learning platform and teaching materials.

This is an hourly paid academic role, your working hours will be based on the timetable for the semester.

Candidate Summary

We are looking for someone who combines professional expertise in sport analytics with experience of teaching in higher education.

The ideal candidate should have extensive experience of applying relevant analytical skills, teaching techniques and methods, and either a degree or equivalent in a relevant subject or professional experience in sport analytics.

The candidate must have excellent presentation skills and the ability to explain complex concepts and theories clearly to students with a range of backgrounds, together with the ability to prepare and present information in a clear and concise way. Good organisational skills including the ability to meet deadlines, and IT skills, are essential. You will be self-motivated, approachable, patient and reliable, and a team player.

Familiarity with AI-enabled analytics and visualisation tools and their responsible use, and familiarity with Moodle or a comparable virtual learning environment are all desirable.

Candidates should be availble to start from the start of Semester 1 on 21st September 2026.

St Mary's University is committed to equality, diversity, and inclusion (EDI) and welcomes applications from all sections of the community. Learn more about our EDI initiatives and work as a Disability Confident employer . Please view our detailed access guide by following the link: St. Mary's University | AccessAble

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. St Mary's University is holding a work visa sponsorship licence however we will not always be able to guarantee a Skilled Worker Visa sponsorship. To avoid disappointment, please ensure you meet the requirements of the Points Based System before applying as we will not be able to provide advice on individual cases. Skilled Worker visa: Overview - GOV.UK

Closing Date: 9th September at 23:00

Candidates are advised to submit applications early to avoid disappointment as we reserve the right to close vacancies prior to the advertised closing date.

Interview Date: 10th / 11th September 2026