We are seeking a passionate and committed Voluntary Performance Analyst to join our backroom team. This is a valuable opportunity for aspiring analyst students to gain real-world experience in a competitive football environment. The successful candidate will support the first-team coaching staff by providing data-driven insights and video analysis to help enhance team performance and individual player development.

It’s a flexible part-time position that includes matchdays, training sessions, and analysis turnaround times.

Key Responsibilities:

• Film and/or collect match and training footage (home and potentially away fixtures).
• Conduct post-match and training video analysis using platforms such as Hudl, Wyscout, or VEO Systems.
• Tag and code events to produce performance reports and feedback clips for the coaching staff.
• Produce pre-match opposition analysis, including tactical strengths/weaknesses, key players, and set-piece strategies.
• Support live match analysis from the stands or via video where applicable.
• Maintain databases on player performance metrics and trends.
• Assist with recruitment analysis where required.
• Collaborate closely with coaches and support staff to deliver clear, actionable insights.

Person Specification:

Essential:

• Strong understanding of football tactics, formations, and analysis principles.
• Competency with analysis software (e.g., Hudl, Veo, or similar).
• High attention to detail and ability to work independently.
• Strong communication skills.

Desirable:

• Relevant qualifications or working towards a degree in Sports Science,
• Performance Analysis, or a related field.
• Previous experience in a similar analysis or scouting role.
• Familiarity with data platforms such as Wyscout.

What You’ll Gain:

• Experience working in a professional football environment.
• Development of technical and tactical analysis skills.
• Networking opportunities within Scottish professional football.
• Mentoring and feedback from coaching and support staff.
• Access to training and development resources where possible.

How to Apply:

Interested applicants should send a brief cover letter outlining their interest and experience, along with a CV, to [email protected]  Please include examples of previous analysis work (if available).

Deadline: 8th August 2025