2,271 Lead Sports Analytics Specialist jobs in Kenya
Lead Sports Analytics Specialist
Posted 17 days ago
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Job Description
Our client is searching for a highly analytical and passionate Lead Sports Analytics Specialist to spearhead data-driven insights for their remote operations. This role is perfect for an individual who thrives on dissecting performance metrics, identifying trends, and translating complex data into actionable strategies for sports teams and athletes. You will be instrumental in developing and implementing advanced analytical models, leveraging cutting-edge tools to enhance player performance, optimize game strategies, and improve overall team success. This position is a fully remote opportunity, allowing you to contribute from anywhere within Kenya, providing a flexible and collaborative work environment.
Responsibilities:
Responsibilities:
- Develop and implement sophisticated statistical models and machine learning algorithms to analyze sports performance data.
- Collect, clean, and process large datasets from various sources, including performance tracking, video analysis, and biometric sensors.
- Identify key performance indicators (KPIs) and develop dashboards to visualize trends and insights for coaches, athletes, and management.
- Provide objective, data-backed recommendations to improve player development, training regimens, and tactical decision-making.
- Conduct in-depth analysis of opponent strategies and identify competitive advantages.
- Collaborate closely with coaching staff and athletes to understand their needs and deliver tailored analytical support.
- Stay current with the latest trends and technologies in sports analytics and data science.
- Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
- Mentor and guide junior analysts, fostering a culture of continuous learning and improvement.
- Manage the deployment and maintenance of analytics platforms and tools.
- Ensure data integrity and privacy across all analytical processes.
- Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- At least 5 years of professional experience in sports analytics or a closely related field.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Deep understanding of various sports and their performance metrics.
- Excellent problem-solving and critical thinking abilities.
- Strong presentation and communication skills, with the ability to translate complex data into understandable insights.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Experience with SQL and database management.
- Knowledge of sports performance tracking systems is a plus.
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Senior Sports Performance Analyst - Data-Driven Athletics
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Sports Performance Analyst to join our dynamic team. This is a fully remote position, allowing you to leverage data from anywhere.
You will be responsible for collecting, analyzing, and interpreting performance data from athletes across various sports. Your insights will be critical in developing training strategies, identifying areas for improvement, and preventing injuries. This role requires a strong understanding of sports science, statistical analysis, and data visualization techniques. You will work closely with coaches, athletes, and sports scientists to translate complex data into actionable recommendations that enhance athletic performance.
Responsibilities:
Qualifications:
This fully remote role, with its foundational connection to Nyeri, Nyeri, KE , presents an exciting opportunity to impact athletic excellence through data.
You will be responsible for collecting, analyzing, and interpreting performance data from athletes across various sports. Your insights will be critical in developing training strategies, identifying areas for improvement, and preventing injuries. This role requires a strong understanding of sports science, statistical analysis, and data visualization techniques. You will work closely with coaches, athletes, and sports scientists to translate complex data into actionable recommendations that enhance athletic performance.
Responsibilities:
- Collect, clean, and analyze quantitative and qualitative performance data from training and competition.
- Utilize advanced statistical methods and data visualization tools to identify trends, patterns, and key performance indicators.
- Develop and maintain performance databases and dashboards for easy access and understanding.
- Provide detailed reports and presentations to coaches and athletes, highlighting strengths and areas for development.
- Collaborate with coaching staff to design and implement evidence-based training programs.
- Assist in the scouting and recruitment process by providing data-driven athlete evaluations.
- Identify potential injury risks based on workload, biomechanics, and performance metrics.
- Research and implement new technologies and methodologies in sports performance analysis.
- Stay current with the latest research and best practices in sports science and performance analytics.
- Contribute to the development of performance strategies for teams and individual athletes.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Biomechanics, Data Science, Statistics, or a related field.
- Minimum of 5 years of experience in sports performance analysis, preferably within professional or elite amateur sports.
- Proficiency in data analysis software such as R, Python, SPSS, or similar.
- Experience with sports-specific performance analysis tools and technologies (e.g., GPS trackers, video analysis software).
- Strong understanding of biomechanics, physiology, and training principles relevant to various sports.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
- Strong 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 environment.
- Experience in developing and implementing athlete monitoring systems.
- Passion for sports and a deep understanding of athletic performance dynamics.
This fully remote role, with its foundational connection to Nyeri, Nyeri, KE , presents an exciting opportunity to impact athletic excellence through data.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Sports Performance Analyst - Data Driven Insights
Posted 20 days ago
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Job Description
Our client, a forward-thinking sports organization, is seeking a remote Lead Sports Performance Analyst to drive data-driven insights and enhance athletic performance. This role is perfect for an expert in sports science, data analytics, and performance metrics who is passionate about leveraging technology to optimize training and competition strategies. You will lead the collection, analysis, and interpretation of vast amounts of performance data from athletes and teams, translating complex findings into actionable recommendations for coaches, athletes, and management. The ideal candidate possesses a deep understanding of various sports disciplines and cutting-edge analytical techniques.
This fully remote position requires exceptional analytical, communication, and leadership skills. You will be responsible for developing performance evaluation frameworks, implementing advanced analytics tools, and mentoring a team of performance analysts. The Lead Sports Performance Analyst will collaborate closely with coaching staff to integrate performance insights into training programs and game plans. A strong ability to visualize data and communicate technical findings to non-technical audiences is crucial. This is an exciting opportunity to shape the future of sports performance through innovative data analysis from your remote location.
Responsibilities:
Qualifications:
This fully remote position requires exceptional analytical, communication, and leadership skills. You will be responsible for developing performance evaluation frameworks, implementing advanced analytics tools, and mentoring a team of performance analysts. The Lead Sports Performance Analyst will collaborate closely with coaching staff to integrate performance insights into training programs and game plans. A strong ability to visualize data and communicate technical findings to non-technical audiences is crucial. This is an exciting opportunity to shape the future of sports performance through innovative data analysis from your remote location.
Responsibilities:
- Lead the analysis of athlete and team performance data across various sports disciplines.
- Develop and implement methodologies for collecting and interpreting performance metrics.
- Utilize advanced statistical and data visualization techniques to identify trends and insights.
- Provide actionable recommendations to coaches and athletes to optimize performance and prevent injuries.
- Develop performance evaluation frameworks and reporting systems.
- Manage and maintain performance databases and analytical software.
- Mentor and guide a team of sports performance analysts.
- Collaborate with coaching staff to integrate performance insights into training and game strategies.
- Stay current with advancements in sports science, analytics, and performance technology.
- Present findings and insights to stakeholders in a clear and concise manner.
Qualifications:
- Master's degree in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in sports performance analysis.
- Proven experience in leading analytical projects and teams.
- Strong understanding of sports physiology, biomechanics, and training methodologies.
- Expertise in data analysis tools and statistical software (e.g., R, Python, SPSS, SQL).
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Excellent communication, presentation, and interpersonal skills for remote collaboration.
- Experience with wearable technology and GPS tracking systems is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Remote Sports Performance Analyst, Data-Driven Athletics
Posted 19 days ago
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Job Description
Our client, a leading sports organization focused on enhancing athletic performance through data analytics, is seeking a Senior Remote Sports Performance Analyst. This fully remote role allows you to leverage your analytical prowess to support athletes and coaching staff from anywhere. You will be responsible for collecting, analyzing, and interpreting performance data to identify key trends, optimize training strategies, and inform tactical decisions. The ideal candidate possesses a strong understanding of sports science, statistical analysis, and data visualization tools, combined with experience in a performance-driven environment. Your role will involve working closely with athletes, coaches, and support staff to provide actionable insights that drive competitive advantage. We are looking for a detail-oriented individual with excellent communication skills and a passion for sports.
Key Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Lead Sports Analytics Specialist to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. In this role, you will be responsible for analyzing vast amounts of sports data to provide strategic insights and performance improvements for athletes and teams. You will develop and implement advanced statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize game strategies. Your work will directly impact decision-making regarding player performance, recruitment, and tactical planning. The ideal candidate will have a strong background in statistics, data science, or a related quantitative field, combined with a passion for sports. Proven experience in data visualization and presenting complex findings to diverse audiences, including coaches and management, is crucial. You should be proficient in data analysis tools and programming languages such as Python, R, and SQL. Experience with sports-specific data platforms and performance metrics is a significant plus. This role demands excellent problem-solving skills, a meticulous attention to detail, and the ability to work independently in a remote setting. You will lead projects, mentor junior analysts, and contribute to the continuous evolution of our client's analytics capabilities. The opportunity is based in **Kakamega, Kakamega, KE**, but the role is entirely remote, providing the flexibility to work from your preferred location while driving significant advancements in sports performance through data.
This advertiser has chosen not to accept applicants from your region.
4
Lead Sports Analytics Specialist - Remote
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and skilled Lead Sports Analytics Specialist to join their globally distributed team. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for leveraging advanced statistical techniques and data science methodologies to provide actionable insights that enhance athletic performance, strategy, and fan engagement. This role involves collecting, cleaning, and analyzing vast datasets from various sports, including performance metrics, player statistics, and game events. You will develop predictive models, identify key performance indicators, and present complex findings in a clear and concise manner to coaches, athletes, and management. A deep understanding of various sports is crucial, along with expertise in data visualization tools and statistical programming languages. You will also play a key role in mentoring junior analysts and shaping the analytics strategy for the organization. The ability to work independently, manage multiple projects simultaneously, and communicate effectively across different time zones is essential.
Responsibilities:
Responsibilities:
- Lead the development and implementation of sophisticated sports analytics models.
- Analyze player and team performance data to identify trends and opportunities.
- Create insightful data visualizations and reports for stakeholders.
- Develop predictive models for game outcomes and player performance.
- Collaborate with coaches and athletes to translate data into actionable strategies.
- Stay abreast of the latest trends in sports analytics and data science.
- Mentor and guide junior sports analysts.
- Manage multiple analytics projects from inception to completion.
- Communicate complex findings effectively to both technical and non-technical audiences.
- Bachelor's degree in Statistics, Data Science, Sports Management, or a related quantitative field. Master's degree preferred.
- 5+ years of experience in sports analytics or a related data analysis role.
- Proven ability to apply statistical modeling and machine learning techniques to sports data.
- Expertise in statistical programming languages such as R or Python.
- Proficiency with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports and their performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
5
Lead Performance Analyst - Sports Analytics
Posted 4 days ago
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Job Description
Our client is seeking a highly analytical and passionate Lead Performance Analyst to join our elite remote sports team. In this pivotal role, you will be responsible for leveraging cutting-edge data analytics to enhance athlete performance, optimize training strategies, and provide critical insights to coaches and management. You will work with a variety of data sources, including biometric data, video analysis, and statistical performance metrics, to identify trends, patterns, and actionable recommendations. The ideal candidate will have a strong background in sports science, statistics, or a related field, coupled with extensive experience in data analysis and visualization tools. You will be adept at translating complex data into clear, concise, and impactful reports and presentations. Your responsibilities will include developing and implementing advanced analytical models, designing and overseeing data collection protocols, and mentoring a team of junior analysts. This is a remote-first position, requiring exceptional communication, collaboration, and self-discipline. You must be comfortable working independently and as part of a virtual team. Proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI) is essential. Experience with sports-specific analytical software is a significant advantage. You will play a crucial role in shaping our data-driven approach to sports performance and contribute directly to the success of our athletes. The ability to manage multiple projects simultaneously and meet tight deadlines is vital. You will be expected to stay abreast of the latest advancements in sports analytics and performance science. Proactive identification of new data sources and analytical techniques will be encouraged. This role offers a unique opportunity to contribute to the world of professional sports from a remote setting. We are committed to fostering a supportive and innovative virtual work environment where your expertise can flourish. You will have the autonomy to drive impactful projects and influence strategic decisions within the organization. If you are a data-driven sports enthusiast with a passion for performance optimization, we invite you to apply.
Location: This is a fully remote role, supporting athletic programs associated with **Kericho, Kericho, KE**.
Location: This is a fully remote role, supporting athletic programs associated with **Kericho, Kericho, KE**.
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Remote Sports Performance Analyst - Data-Driven Athlete Development
Posted 5 days ago
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Job Description
Our client is seeking a highly analytical and data-oriented Remote Sports Performance Analyst to join their dynamic sports science team. This role is pivotal in leveraging data to enhance athlete performance, prevent injuries, and inform strategic decision-making across various sports disciplines. You will be responsible for collecting, processing, and analyzing vast amounts of performance data from various sources, including wearable technology, video analysis, physiological monitoring, and competition statistics. Your insights will be translated into actionable recommendations for coaches, athletes, and sports management to optimize training regimens, game strategies, and individual development plans. The ideal candidate possesses a strong foundation in sports science, statistics, and data analytics, combined with exceptional proficiency in data visualization and interpretation tools. You must be adept at communicating complex findings clearly and concisely to both technical and non-technical audiences. This is a fully remote position, requiring a self-motivated individual with a passion for sports, a keen eye for detail, and the ability to work autonomously while collaborating effectively with a geographically dispersed team. A commitment to continuous learning and staying abreast of the latest trends in sports analytics is essential.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and organize performance data from multiple sources (e.g., GPS trackers, heart rate monitors, video analysis software, electronic health records).
- Analyze athlete performance metrics to identify strengths, weaknesses, and areas for improvement.
- Develop and implement statistical models and predictive analytics to forecast performance trends and injury risks.
- Generate comprehensive reports and visualizations to present findings to coaches, athletes, and management.
- Collaborate with coaching staff to translate data insights into effective training programs and game strategies.
- Monitor athlete load, fatigue, and recovery to inform training intensity and injury prevention strategies.
- Evaluate the effectiveness of training interventions and performance enhancement techniques.
- Stay up-to-date with the latest advancements in sports science, performance analytics, and relevant technologies.
- Contribute to the development of new data collection protocols and analytical methodologies.
- Ensure data integrity, accuracy, and confidentiality throughout the analysis process.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field.
- Proven experience in sports performance analysis, preferably within a professional or elite sports setting.
- Proficiency in statistical software (e.g., R, SPSS, Python) and data visualization tools (e.g., Tableau, Power BI).
- Experience with sports-specific data platforms and video analysis software (e.g., Hudl, Catapult).
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to convey complex data insights effectively.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Passion for sports and a desire to contribute to athlete success.
This advertiser has chosen not to accept applicants from your region.
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Lead Sports Data Analyst
Posted 20 days ago
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Job Description
Our client is looking for a highly analytical and data-driven Lead Sports Data Analyst to join their fully remote team. This role is crucial for optimizing team performance, identifying strategic advantages, and enhancing player development through sophisticated data analysis. You will be responsible for collecting, cleaning, and interpreting vast datasets from various sporting events and performance metrics. Your insights will inform strategic decision-making at all levels, from coaching staff to player recruitment. The ideal candidate will have a strong background in statistical modeling, machine learning, and data visualization techniques. Proficiency in programming languages such as Python or R, along with experience in SQL databases, is essential. You will develop predictive models, identify key performance indicators (KPIs), and create compelling dashboards and reports that clearly communicate complex findings to both technical and non-technical stakeholders. This position requires a deep understanding of sports, including specific game strategies and player performance indicators. You will collaborate closely with coaches, analysts, and management to understand their needs and translate them into actionable data-driven insights. As a remote position, you must be a self-starter with excellent communication skills and the ability to work effectively independently and as part of a distributed team. You will be expected to stay abreast of the latest trends in sports analytics and data science. This is an exciting opportunity to work at the forefront of sports technology and influence strategic outcomes for a leading organization. We are seeking someone who is passionate about sports and possesses an exceptional analytical mindset. The successful candidate will have the opportunity to innovate and develop new analytical approaches to unlock performance gains. We foster a culture of continuous improvement and offer opportunities for professional development in a dynamic and collaborative remote environment. If you have a proven track record in sports analytics and are passionate about leveraging data to gain a competitive edge, we invite you to apply.
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8
Remote Lead Sports Data Analyst - Performance Optimization
Posted 11 days ago
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Job Description
Our client, a high-performance sports analytics firm, is seeking a highly skilled and experienced Remote Lead Sports Data Analyst to drive performance optimization for elite athletic teams. This is a fully remote position, enabling you to work from anywhere in the world. You will lead a team of analysts, leveraging advanced statistical modeling and machine learning techniques to extract actionable insights from vast datasets, ultimately enhancing athletic performance and strategic decision-making.
Key Responsibilities:
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.
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