Lead Performance Analyst - Elite Cycling (Remote)

Placements24; Benoni; Hybride; ZAR 900 000 - 1 500 000; Plein temps

Avantages offerts par ce poste

Salary incentives

Health insurance

Professional development

Home office stipend

Flexible hours

Travel opportunities

Résumé du poste

Placements24 seeks a Lead Performance Analyst to join a remote-based performance department supporting elite endurance athletes. You will oversee data collection, processing, and interpretation to enhance training, race execution, and recovery strategies.

The ideal candidate has a strong background in sports science and data analytics, with 6+ years in performance analysis for cycling, running, or triathlon, plus proficiency with R/Python and visualization tools.

Qualifications

• Master's or PhD in a quantitative field related to sports science.
• Minimum 6 years in performance analysis for endurance sports.
• Proficiency in R or Python and data visualization tools.

Responsabilités

• Lead collection, processing and analysis of performance data from training and racing.
• Develop standardized data analysis protocols and reporting for staff.
• Interpret complex datasets to inform fatigue, readiness, and race strategy.
• Collaborate with coaches and scientists to apply findings to plans.
• Use advanced statistics and visualization to communicate insights.
• Stay updated on research and tech in performance analysis.
• Manage performance data systems and databases.
• Mentor junior analysts and contribute to tool development.

Connaissances

R

Python

Tableau/Power BI

Data visualization

Statistics

Machine learning

Formation

Master's or PhD in Sports Science/Quantitative Field

Outils

TrainingPeaks

WKO

Polar

Garmin

Description du poste

Placements24 seeks a Lead Performance Analyst to join a remote-based performance department supporting elite endurance athletes. You will oversee data collection, processing, and interpretation to enhance training, race execution, and recovery strategies.

The ideal candidate has a strong background in sports science and data analytics, with 6+ years in performance analysis for cycling, running, or triathlon, plus proficiency with R/Python and visualization tools.