Sports Analyst Consultant Trainer Based in Nairobi at Indepth Research Services (IRES)

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.