Women’s Rugby Performance Lead Analyst

Women’s Rugby Performance Lead Analyst

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Harlequins

At a Glance

  • Tasks: Lead performance analysis for the Women’s Rugby team and deliver high-quality insights.
  • Company: Join Harlequins, a dynamic rugby club committed to excellence.
  • Benefits: Be part of a supportive team with opportunities for professional growth.
  • Other info: Work in a collaborative environment focused on player development.
  • Why this job: Make a real impact on women's rugby and drive innovation in performance analysis.
  • Qualifications: Experience in performance analysis and a passion for rugby.

The predicted salary is between 30000 - 40000 £ per year.

Harlequins is seeking a Lead Analyst to lead the Women’s Performance Analysis programme at the training ground in Guildford.

The role supports coaching, player development and team performance, delivering high-quality insights and coordinating weekly analysis processes.

Working with the Head Coach and multidisciplinary team, the role drives innovation, enhances decision-making and contributes to a high-performance environment aligned with the Harlequins Women’s vision.

#J-18808-Ljbffr

Women’s Rugby Performance Lead Analyst employer: Harlequins

Harlequins Foundation is an exceptional employer, offering a dynamic work environment at The Stoop, Twickenham, where creativity and passion for community engagement thrive. Employees benefit from a supportive culture that prioritises professional growth, with opportunities to develop innovative fundraising strategies while making a meaningful impact in the community. Join us to be part of a dedicated team that values collaboration and commitment to sustainable fundraising success.

Harlequins

Contact Details:

Harlequins Recruitment Team

We think you need these skills to ace Women’s Rugby Performance Lead Analyst

Performance Analysis
Coaching Support
Player Development
Team Performance Insights
Data Coordination
Innovation in Analysis
Decision-Making Enhancement