MSC Sport Performance Analyst Placement (LTA and Middlesex University)
Join to apply for the MSC Sport Performance Analyst Placement (LTA and Middlesex University) role at Tennis Foundation.
About the Role
The LTA’s vision is ‘Tennis Opened Up’ and its mission is Transforming Communities through Tennis.
* Are you committed to a career in Performance Analysis?
* Do you want to ‘learn on the job’, fully immersed in an elite Performance Analysis Team with hands-on experience and active mentoring?
* Are you passionate and knowledgeable about tennis and elite sport?
The LTA’s Performance vision is to ‘be one of the most respected nations for player development’. The Performance Analysis team provides video and statistical intelligence to support coaching and decision-making, focusing on player support and game-wide trends.
The LTA, in collaboration with Middlesex University, is offering up to two Sport Performance Analysis Placements starting September 2025, running for the full academic year.
How To Apply
* The successful applicant must be accepted onto the Sport Performance Analysis MSc course at Middlesex University for the 2025/2026 academic year.
* Applicants are responsible for applying within the deadlines and meeting entry requirements.
* Course details and enrollment options are available here: on-campus or online.
* This opportunity is open to candidates already enrolled or in the process of enrolling in the MSc course.
Applicants should email their CV and a 500-word statement explaining 'Why you, why this opportunity?' to toby.west@lta.org.uk by 5:00 pm on Sunday 6th July 2025.
If shortlisted, interviews will be held in the week of 14th July 2025 at the National Tennis Centre.
For questions, contact Toby West or Dr Nimai Parmar at their respective emails.
About You: Not specified.
About Us: Not specified.
Employment Details
* Seniority level: Not Applicable
* Employment type: Full-time
* Job function: Research, Analyst, and IT
Apply now to be part of this exciting opportunity to develop your career in sports performance analysis.
#J-18808-Ljbffr