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Performance Analysis Internship

GWS GIANTS


  • Sydney Olympic Park & GIANTS Training Facilities New South Wales Australia
  • Volunteer Position, Internship
3 Apr 2026
Applications 0

Description

Location: Sydney Olympic Park & GIANTS Training Facilities
Type: Unpaid Internship (Educational Placement Only)
Duration: April 2026 – December 2026 (approx. 7-10 hour per week)

OVERVIEW

The GWS GIANTS are offering a hands-on internship opportunity within the Analytics Department for the 2026 AFLW season. This placement provides practical experience supporting our AFLW program, including matchday and mid-week analysis activities.

This position is ideal for individuals seeking practical experience in elite sport, performance analysis, and AFL analytics workflows.

PLACEMENT PATHWAYS

This internship can be completed through either the following pathways:

1. University Vocational Placement (For-Credit Placement)

For students undertaking a mandatory practical or internship componenet as part of their degree.

Requirements:

  • University approval for the placement
  • Certificate of Currency (insurance, provided by university)
  • Student Placement Agreement (between university and the Club)
  • CV / Resume
  • NSW Working With Children Check (Volunteer check is sufficient)

2. Volunteer Internship (Non-University Placement)

For individuals seeking experience outside of formal study.

This pathway is short-term, educational, and compliant with Fair Work’s vocational placement guidelines.

Requirements:

  • CV / Resume
  • Basic application details
  • NSW Working With Children Check (Volunteer check is sufficient)
  • National Police Check

Please note: This internship is strictly educational. It is unpaid, and expenses incurred during internship duties will be reimbursed. No employment relationship is created.

PRIMARY RESPONSIBILITIES  

  • Matchday Analysis
    • Assist with setup, filming, live coding, and in-game analysis of AFLW matches.
  • Mid-week Analysis
    • Compile pre and post-game analytical reports.
    • Conduct performance analysis projects that support player education and decision-making.
    • Code and organise vision using Sportscode.
    • Build and maintain vision databases.
    • Assist with live training analysis and filming.

LEARNING OUTCOMES

By the end of the internship, the successful applicant(s) will have gained:

  • A strong understanding of performance analysis in elite sport.
  • Matchday setup and delivery skills.
  • Proficiency in analysis preparation and reporting.
  • Competence in Tableau for data visualisation.
  • Practical knowledge of Sportscode, including:
    • AFLW matchday and mid-week workflows.
    • Databasing, timeline usage, and sorter windows.
  • Filming techniques and vision capture workflows for training and matchday.

PREREQUISITES

Applicants should demonstrate:

  • Strong knowledge of AFL (as a player and/or fan).
  • Interest in performance analysis and elite sport.
  • Relibaility, initiative, and attention to detail.
  • Availability for 7-10 hours per week, including weekend matchdays (Saturday or Sunday) and mid-week analysis sessions.
  • Familiarity with Apple computers, Sportscode, Excel, Keynote, Tableau, or other analytical software (preferred).
  • A current and valid National Police Check (issued within the last 6 months).
  • A NSW Working Working With Children Check (WWCC) - a volunteer WWCC is sufficient for this unpaid internship.

Please note: This is an unpaid internship. Any expenses incurred while fulfilling the role will be reimbursed.

Application Instruction

To apply, please send your CV and a brief cover letter outlining your interest in the role to Maddy Stewart, AFLW Analyst: employment@gwsgiants.com.au by Friday, 3 April 2026. Interviews will be held shortly after the deadline, with successful applicants commencing in late April 2026.

The GIANTS are proud to be an equal opportunity employer with a flexible and safe working environment. We do not discriminate against any applicant because of race, colour, national origin, sex, gender, disability, religion, marital status, parental status, nor any other protected personal characteristic.

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