Elite Sports Performance Analyst — Data-Driven Insights

Placements24; Klerksdorp; Hybrid; ZAR 600.000 - 900.000; Vollzeit

Zusammenfassung

Placements24 is recruiting a Performance Analyst for an elite sports team based in Klerksdorp, North West. The role focuses on collecting, analyzing, and interpreting performance data to provide actionable insights for coaches and athletes, helping to drive tactical decision-making.

The ideal candidate has 3+ years in elite sports analytics, proficiency with Hudl/Sportscode/Nacsport and statistical tools (R, Python).

Qualifikationen

• Bachelor's degree in Sports Science, Data Science, Statistics, Kinesiology or related field.
• Master's degree is advantageous for progression and responsibilities.

Aufgaben

• Collect, process, and manage performance data from training and matches.
• Analyze individual and team performance metrics to identify trends.
• Prepare performance reports, visualizations, and presentations for coaches and athletes.
• Provide real-time feedback during matches and training where applicable.
• Assist in developing player and team strategies based on data-driven insights.
• Collaborate with strength and conditioning staff to align physical prep with data insights.
• Stay updated on trends and technologies in sports performance analysis.
• Maintain data integrity and confidentiality.
• Contribute to scouting and recruitment through data analysis.
• Develop and maintain a performance database for the team.

Kenntnisse

Performance data analysis

Data visualization

Statistical analysis

Communication of insights

Ausbildung

Bachelor's degree in Sports Science / Data Science / Statistics / Kinesiology

Master's degree advantageous

Tools

Hudl

Sportscode

Nacsport

R

Python

Jobbeschreibung

Placements24 is recruiting a Performance Analyst for an elite sports team based in Klerksdorp, North West. The role focuses on collecting, analyzing, and interpreting performance data to provide actionable insights for coaches and athletes, helping to drive tactical decision-making.

The ideal candidate has 3+ years in elite sports analytics, proficiency with Hudl/Sportscode/Nacsport and statistical tools (R, Python).