The consultant Trainer will provide in-depth performance insights, data-driven recommendations, and strategic analysis to enhance sports performance, coaching strategies, and player development. The ideal candidate will have a strong background in sports analytics, statistical modeling, and performance evaluation, utilizing advanced tools and techniques to interpret game and player data.
Key Responsibilities:
Analyze player and team performance using advanced statistical models and data analytics tools.
Collect, process, and interpret real-time and historical sports data to provide actionable insights.
Design customized training programs, monitor fitness levels, and implement injury prevention strategies.
Develop predictive models to assess player performance, injury risk, and game outcomes.
Utilize data visualization techniques to communicate insights to coaches, athletes, and management.
Monitor and assess opponent strategies, strengths, and weaknesses to assist in game planning.
Collaborate with coaches, sports scientists, and medical staff to optimize player performance and recovery.
Implement machine learning and artificial intelligence applications in sports analytics.
Provide detailed reports and presentations on key performance metrics and trends.
Stay updated with emerging trends and advancements in sports science, analytics, technology, performance optimization, and data science.
Requirements:
Qualifications and Skills:
Comprehensive understanding of sports analytics methodologies, including statistical modeling, machine learning, and data mining.
Strong foundation in sports performance metrics, biomechanics, and physiological analysis.
Expertise in data analysis tools such as Python, R, SQL, Excel, and visualization platforms like Power BI or Tableau.
Knowledge of tracking technologies (GPS, wearables, motion capture) and video analysis tools (Hudl, Sportscode, or similar).
Familiarity with predictive modeling techniques in sports contexts.
Strong grasp of sports rules, strategies, and tactics across various sports disciplines.
Bachelor’s Degree in Sports Management, or a related field.
A Master’s degree in Sports Analytics, Data Science, Statistics, Sports Science, or a related field is required.
Experience:
At least 3-5 years of experience in sports analytics, data science, or performance analysis.
At least 3-5 years of professional training experience.
Experience in developing and implementing predictive models for sports performance and game strategy.
Prior experience in machine learning applications for sports analytics is a plus.
Proof of previous training conducted (e.g., LPOs/contracts) is required.
Interested candidates are invited to submit their CV, cover letter, and copies of all required certifications to trainingjobs@indepthresearch.co.ke by 25th March 2025. Please include “Sports Analyst Trainer” in the subject line.
Apply via :
trainingjobs@indepthresearch.co.ke
