2,272 Remote Lead Sports Analytics Specialist jobs in Kenya
Remote Lead Sports Analytics Specialist
Posted 20 days ago
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Remote Sports Analytics and Performance Analyst
Posted 20 days ago
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Remote Lead Sports Data Analyst - Performance Optimization
Posted 11 days ago
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Key Responsibilities:
- Lead the development and implementation of advanced data analytics strategies to assess and improve athlete and team performance across various sports.
- Design and build sophisticated models to identify key performance indicators (KPIs), predict outcomes, and uncover hidden patterns in player and game data.
- Oversee the collection, cleaning, and preprocessing of diverse sports datasets, including player tracking, biometric, match statistics, and video data.
- Develop and maintain robust data pipelines and reporting dashboards for coaches, athletes, and management.
- Collaborate closely with sports scientists, coaches, and medical staff to translate data insights into practical training and tactical recommendations.
- Mentor and guide a team of sports data analysts, providing technical leadership and fostering a culture of continuous learning and innovation.
- Stay abreast of the latest advancements in sports analytics, machine learning, statistical modeling, and data visualization techniques.
- Present complex findings and recommendations in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
- Identify and evaluate new data sources and analytical tools to enhance performance insights.
- Ensure data integrity, accuracy, and security across all analytical processes.
- Contribute to the development of proprietary analytical products and services for clients.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- A minimum of 6 years of experience in data analysis, with at least 3 years focused on sports analytics or performance optimization.
- Proven experience leading analytical teams and managing complex data projects.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis), and experimental design.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with SQL and working with large databases.
- Familiarity with sports-specific data and performance metrics.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Strong understanding of athletic performance principles and sports strategy.
- Exceptional problem-solving, analytical, and critical-thinking abilities.
- Outstanding communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
Remote Sports Analytics and Performance Specialist
Posted 19 days ago
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Key Responsibilities:
- Collect, process, and analyze performance data from athletes using various tracking systems (e.g., GPS, heart rate monitors, video analysis).
- Develop and implement key performance indicators (KPIs) to measure individual and team progress.
- Create comprehensive reports and visualizations that clearly communicate performance trends, strengths, and areas for development.
- Collaborate with coaching staff to integrate data-driven insights into training programs and tactical strategies.
- Provide real-time performance feedback and support to athletes during training and competition, as feasible remotely.
- Conduct research on new technologies and methodologies for performance enhancement and data collection.
- Maintain accurate and organized databases of athlete performance information.
- Present findings and recommendations to stakeholders, including coaches, athletes, and management, through virtual presentations.
- Stay current with the latest advancements in sports science, analytics, and athletic performance optimization.
- Ensure data integrity and confidentiality of all athlete information.
- This role is designed for a remote professional who can effectively manage their workload, communicate clearly across digital platforms, and contribute significantly to team success without being physically present in **Eldoret, Uasin Gishu, KE**.
- Bachelor's or Master's degree in Sports Science, Exercise Physiology, Biomechanics, Statistics, or a related field.
- Minimum of 4 years of experience in sports performance analysis or sports science.
- Proficiency in data analysis software (e.g., R, Python, SPSS) and visualization tools (e.g., Tableau, Power BI).
- Experience with sports performance tracking technologies (e.g., Catapult, STATSports, Hudl).
- Strong understanding of physiological and biomechanical principles relevant to athletic performance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to interpret and present complex data in an understandable format.
- Exceptional communication and interpersonal skills for effective remote collaboration.
- Self-motivated, organized, and able to manage time effectively in a remote setting.
- Passion for sports and a commitment to athlete development.
Remote Sports Performance Analyst - Data Driven Insights
Posted 11 days ago
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Responsibilities:
- Collect and manage performance data from various sources, including GPS tracking devices, video analysis, physiological sensors, and competition statistics.
- Utilize advanced statistical techniques and data visualization tools to identify trends, patterns, and key performance indicators (KPIs).
- Analyze athlete and team performance during training sessions and competitions to identify strengths and areas for improvement.
- Develop comprehensive performance reports and presentations for coaches, athletes, and management.
- Collaborate closely with coaching staff to translate data insights into effective training programs and strategic game plans.
- Monitor athlete workload and recovery to prevent injuries and optimize performance.
- Stay abreast of the latest advancements in sports science, performance analysis technology, and research methodologies.
- Implement and manage performance tracking software and databases.
- Provide objective feedback on individual player and team tactics.
- Contribute to the development of innovative performance monitoring tools and strategies.
- Maintain confidentiality of sensitive performance data.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field.
- Proven experience as a Sports Performance Analyst or in a similar data-focused role within a sports context.
- Proficiency with performance analysis software (e.g., Hudl, Sportscode, Dartfish) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical modeling, data mining, and research methodologies.
- Knowledge of biomechanics, physiology, and training principles relevant to athletic performance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional ability to communicate complex data clearly and concisely to diverse audiences, both verbally and in writing.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Passion for sports and a deep understanding of athletic performance principles.
- Experience with scripting languages like Python for data analysis is a significant advantage.
This fully remote opportunity is perfect for an individual who is passionate about sports and possesses exceptional analytical capabilities. You will have the chance to make a significant impact on athletic success by providing the insights that drive elite performance, all while enjoying the flexibility of working from home.
Lead Remote Sports Data Analyst
Posted 4 days ago
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Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 5-7 years of experience in sports analytics or a similar data-intensive field.
- Proven experience leading a team of analysts and managing projects.
- Expertise in statistical analysis, predictive modeling, and machine learning algorithms.
- Proficiency in programming languages such as Python or R, and associated data science libraries.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports and their performance metrics.
- Excellent communication and presentation skills, with the ability to convey complex data insights effectively.
- Demonstrated ability to work independently and manage remote teams.
- Experience with database management (SQL) and big data technologies is a plus.
Senior Remote Sports Performance Analyst & Data Scientist
Posted 14 days ago
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Key Responsibilities:
- Collect, clean, and process large datasets from various sports performance tracking systems (e.g., GPS, video analysis, biometric sensors).
- Develop and implement advanced statistical and machine learning models to analyze player and team performance.
- Identify key performance indicators (KPIs) and trends relevant to specific sports.
- Create compelling visualizations and dashboards to communicate complex data insights to non-technical stakeholders.
- Collaborate with coaches and technical staff to translate data findings into practical performance improvements.
- Develop predictive models for injury risk assessment and player load management.
- Design and evaluate the effectiveness of training programs and tactical strategies based on data analysis.
- Stay current with the latest advancements in sports science, data analytics, and performance technologies.
- Contribute to the development of proprietary analytical tools and methodologies.
- Maintain data integrity and ensure adherence to privacy and ethical standards.
Qualifications:
- Master's or PhD in Sports Science, Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in sports performance analysis or data science, with a focus on sports.
- Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency with programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of sports biomechanics, physiology, and training principles relevant to various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Experience with sports-specific data collection technologies is a strong asset.
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Senior Remote Sports Performance Analyst, Data-Driven Athletics
Posted 19 days ago
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Key Responsibilities:
- Collect, process, and analyze performance data from various sports (e.g., GPS, video analysis, physiological metrics).
- Develop and implement metrics and KPIs to measure athlete and team performance.
- Create clear and concise reports, dashboards, and visualizations to communicate findings to coaches and athletes.
- Identify performance trends, strengths, and weaknesses, providing actionable recommendations.
- Collaborate with coaching staff to develop effective training plans and game strategies.
- Conduct post-match/game analysis to evaluate team and individual performance.
- Research and recommend new technologies and methodologies for performance analysis.
- Ensure data integrity and confidentiality.
- Stay updated on the latest advancements in sports science and performance analytics.
- Contribute to the development of personalized athlete development programs.
- Bachelor's degree in Sports Science, Data Science, Statistics, or a related field; Master's degree preferred.
- Minimum of 5 years of experience in sports performance analysis or a similar role.
- Proficiency in data analysis software (e.g., R, Python, SPSS) and visualization tools (e.g., Tableau, Power BI).
- Experience with sports-specific performance tracking technologies (e.g., Catapult, STATSports, Hudl).
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Passion for sports and a deep understanding of athletic performance principles.
- Experience in team sports analytics is highly desirable.
Senior Remote Sports Analytics and Performance Specialist
Posted 20 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and analyze performance data from various sources, including wearable devices, video analysis, and statistical databases.
- Develop and implement advanced analytical models to identify performance trends, strengths, and weaknesses of athletes and teams.
- Create compelling data visualizations and reports to communicate key findings to coaches, athletes, and management.
- Collaborate with coaching staff to translate data insights into actionable training and game strategies.
- Monitor athlete load, recovery, and physiological responses to optimize training and minimize injury risk.
- Research and evaluate new technologies and methodologies for performance analysis.
- Design and conduct performance testing protocols.
- Stay current with the latest advancements in sports science, data analytics, and performance optimization techniques.
- Provide statistical support for scouting and recruitment processes.
- Develop predictive models for athlete performance and injury likelihood.
- Ensure data integrity and confidentiality of all sensitive performance information.
- Present findings and recommendations clearly and concisely in virtual meetings.
- Contribute to the development of long-term performance strategies for athletes and teams.
- Mentor and guide junior analysts and performance staff.
- Foster a data-driven culture within the organization.
Qualifications:
- Master's degree in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, performance analysis, or a similar role within professional sports organizations or research institutions.
- Proven experience with statistical software and programming languages (e.g., R, Python, SPSS).
- Strong understanding of sports biomechanics, physiology, and training principles.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Demonstrated ability to work independently and manage multiple projects in a fully remote setting.
- Experience with wearable technology and athlete monitoring systems.
- Knowledge of various sports disciplines and their specific performance metrics is a plus.
- A passion for sports and a commitment to enhancing athletic achievement.
- Ability to adapt to rapidly changing data and project requirements.
Remote Sports Performance Data Analyst
Posted 10 days ago
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Key responsibilities include managing and maintaining performance databases, ensuring data integrity and accuracy. You will utilize advanced statistical techniques and data visualization tools to transform raw data into meaningful reports and presentations. This involves tracking key performance indicators (KPIs), evaluating the effectiveness of training interventions, and identifying areas for athlete development. You will also be responsible for researching and implementing new data collection technologies and analytical methodologies to stay at the forefront of sports performance science. Collaboration with various stakeholders, including athletes, coaches, and management, is essential for understanding their needs and delivering relevant, impactful insights.
The ideal candidate will possess a strong background in sports science, statistics, data analytics, or a related field, combined with a passion for sports. You should have proven experience in data analysis, statistical modeling, and the use of data visualization tools (e.g., Tableau, Power BI). Proficiency in data analysis software such as R, Python, or SPSS is essential. Excellent communication and presentation skills are required to convey complex analytical findings to both technical and non-technical audiences. This remote position demands excellent organizational skills, self-discipline, and the ability to work independently while fostering strong collaborative relationships within a distributed team. You will play a pivotal role in shaping the future of sports performance through cutting-edge data analysis.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Statistics, Data Science, or a related quantitative field.
- Minimum of 4 years of experience in sports performance analysis or data analytics within a sports context.
- Proficiency in statistical analysis software (e.g., R, Python, SPSS) and data visualization tools (e.g., Tableau, Power BI).
- Experience with managing and analyzing large datasets.
- Strong understanding of sports performance metrics and training methodologies.
- Excellent analytical, critical thinking, and problem-solving skills.
- Ability to translate complex data into clear, actionable insights.
- Strong written and verbal communication skills, with the ability to present findings effectively.
- Demonstrated ability to work independently and manage priorities in a remote setting.
- Passion for sports and a commitment to continuous learning in the field of performance analytics.
- Experience with wearable technology data is a plus.