Remote Sports Performance Analyst—Elite Data Insights

Placements24

Cape Town

Híbrido

ZAR 400.000 - 800.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Fully remote
Elite athletes access
Development allowance
Virtual team culture

Descripción de la vacante

Placements24 is seeking a Remote Sports Performance Analyst to drive data-driven insights for athletic performance from Cape Town. You will collect, analyze, and interpret high-volume data to optimize training, injury prevention, and decision-making.

Work entirely remotely with coaches, athletes, and performance staff. You will use Python, R, SQL, and analytics tools to deliver actionable recommendations and visualizations for performance optimization.

Formación

  • Bachelor's or Master's degree in related field.
  • Proven sports performance analysis experience.
  • Proficiency in Python (Pandas/NumPy), R, or SQL.
  • Experience with analytics software is a plus.
  • Strong ability to translate data into actionable remote insights.

Responsabilidades

  • Collect, clean, and organize performance data from wearables, video, and logs.
  • Analyze athlete performance, fatigue, and biomechanics using stats tools.
  • Develop reports and visualizations communicating findings to coaches.
  • Collaborate with scientists and coaches to design data-driven programs.
  • Stay updated on sports tech and methodologies.
  • Monitor trends to identify improvements and innovations.

Conocimientos

Python
R
SQL
Pandas
NumPy

Educación

Bachelor's or Master's degree in related field

Herramientas

Catapult
Hudl
Dartfish

Descripción del empleo

Placements24 is seeking a Remote Sports Performance Analyst to drive data-driven insights for athletic performance from Cape Town. You will collect, analyze, and interpret high-volume data to optimize training, injury prevention, and decision-making.

Work entirely remotely with coaches, athletes, and performance staff. You will use Python, R, SQL, and analytics tools to deliver actionable recommendations and visualizations for performance optimization.

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