491 Senior Sports Performance Analyst Data Driven Coaching jobs in Kenya
Senior Sports Performance Analyst - Data-Driven Coaching
Posted 20 days ago
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Job Description
Our client, a leading sports organization dedicated to optimizing athletic performance through cutting-edge technology, is seeking a highly analytical Senior Sports Performance Analyst. This is a fully remote role where you will leverage advanced data analytics and video analysis techniques to provide actionable insights that drive coaching strategies and athlete development. You will work closely with coaches and athletes across various sports disciplines to identify performance trends, evaluate training effectiveness, and inform tactical decisions.
Responsibilities:
This remote position supports operational needs within the Eldoret, Uasin Gishu, KE region, but welcomes applications from anywhere globally.
Responsibilities:
- Collect, process, and analyze performance data from various sources, including GPS tracking, heart rate monitors, video recordings, and match statistics.
- Utilize statistical software and data visualization tools to identify key performance indicators (KPIs) and trends.
- Develop comprehensive performance reports and presentations for coaching staff and athletes.
- Collaborate with coaches to translate data insights into practical training and tactical recommendations.
- Implement and manage video analysis software to breakdown game footage, identify strengths and weaknesses, and scout opponents.
- Monitor athlete workloads and recovery metrics to prevent overtraining and injury.
- Stay abreast of the latest trends and technologies in sports science, performance analysis, and data analytics.
- Develop and maintain databases of player and team performance statistics.
- Educate coaching staff and athletes on the effective use of performance data and analysis tools.
- Contribute to the development of individual athlete development plans based on performance insights.
- Bachelor's degree in Sports Science, Exercise Physiology, Data Science, Statistics, or a related field. A Master's degree is highly preferred.
- Minimum of 7 years of experience in sports performance analysis, with a proven track record in professional or elite-level sports.
- Expertise in using sports performance analysis software (e.g., Hudl, Sportscode, Dartfish) and statistical packages (e.g., R, Python, SPSS).
- Strong understanding of biomechanics, physiology, and training principles relevant to various sports.
- Excellent data analysis, interpretation, and visualization skills.
- Demonstrated ability to work effectively and independently in a remote environment, managing multiple projects and communicating findings clearly.
- Exceptional communication, presentation, and interpersonal skills.
- Experience in predictive analytics and modeling for sports performance is a significant advantage.
- Familiarity with GPS tracking and wearable technology for athlete monitoring.
- Passion for sports and a deep understanding of athletic performance optimization.
This remote position supports operational needs within the Eldoret, Uasin Gishu, KE region, but welcomes applications from anywhere globally.
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Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client, a cutting-edge sports analytics firm, is looking for a talented and passionate Sports Analytics Specialist to join their fully remote team. This is an exciting opportunity for an individual with a strong aptitude for data analysis, statistical modeling, and a deep understanding of sports. As a Sports Analytics Specialist, you will be responsible for collecting, cleaning, and analyzing vast datasets related to athletic performance, game statistics, and player behavior across various sports. Your insights will be critical in informing strategic decisions for athletes, teams, and sports organizations, aiming to optimize performance, identify talent, and enhance game strategies. You will develop predictive models, create visualizations, and present complex findings in a clear and understandable manner to both technical and non-technical stakeholders. The ideal candidate will possess a robust background in statistics, mathematics, computer science, or a related quantitative field, coupled with a genuine passion for sports. Proficiency in data analysis tools and programming languages such as Python, R, or SQL is essential. You should be adept at translating raw data into actionable recommendations and possess excellent communication skills to articulate your findings effectively. This remote role requires a self-starter with a proactive approach to problem-solving and a commitment to staying ahead of the curve in the evolving field of sports analytics. If you are driven by data, love sports, and are looking for a challenging and rewarding remote career, this position is perfect for you.
Responsibilities:
Responsibilities:
- Collect, clean, and process large sports-related datasets.
- Develop and apply statistical models to analyze player and team performance.
- Create predictive models for game outcomes, player development, and strategic planning.
- Visualize data and present findings through reports, dashboards, and presentations.
- Collaborate with coaches, athletes, and management to provide data-driven insights.
- Identify trends and patterns in sports data to inform decision-making.
- Stay updated on the latest advancements in sports analytics techniques and technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new analytical tools and methodologies.
- Communicate complex analytical concepts to diverse audiences.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical concepts and machine learning techniques.
- Deep knowledge and passion for one or more sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage projects in a remote environment.
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Lead Sports Analytics Specialist
Posted 21 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, offering the opportunity to leverage cutting-edge data science techniques to enhance athletic performance and strategic decision-making within the sports domain. You will be responsible for collecting, analyzing, and interpreting complex datasets related to player performance, team dynamics, and game strategies. Your insights will directly impact coaching decisions, player development, and competitive advantage.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of advanced statistical models and analytical frameworks for sports performance.
- Analyze vast datasets related to player statistics, biomechanics, game events, and training data.
- Translate complex data findings into actionable insights for coaches, athletes, and management.
- Develop and maintain data visualization dashboards and reports to effectively communicate key metrics.
- Identify trends, patterns, and predictive indicators to optimize training regimens, injury prevention, and game strategies.
- Collaborate with coaching staff and sports scientists to understand their analytical needs and provide tailored support.
- Stay current with the latest advancements in sports science, data analytics, and relevant technologies.
- Manage data integrity and ensure the accuracy and reliability of analytical outputs.
- Mentor junior analysts and contribute to building a data-centric culture within the organization.
- Present findings and recommendations to stakeholders at various levels.
- Master's degree or Ph.D. in Sports Science, Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a closely related field, with a demonstrable track record of impacting performance.
- Proficiency in statistical programming languages such as R or Python, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports-specific data collection methods and performance metrics.
- Experience with database management and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Ability to work independently, manage projects, and thrive in a remote team environment.
- Passion for sports and a deep understanding of athletic performance principles.
This advertiser has chosen not to accept applicants from your region.
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Remote Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Sports Analytics Specialist to join their remote-first operations. This role is pivotal in providing in-depth performance analysis for various sports teams and athletes, leveraging data to inform strategic decision-making and enhance performance. As a Remote Sports Analytics Specialist, you will be responsible for collecting, cleaning, and interpreting vast datasets related to player statistics, game performance, and training regimens. You will utilize advanced statistical modeling, machine learning techniques, and data visualization tools to identify trends, uncover insights, and develop predictive models. Your analysis will directly impact coaching strategies, player development plans, and game-day decision-making. The ideal candidate will have a strong background in sports science, statistics, data science, or a related quantitative field. Proficiency in programming languages such as Python or R, along with experience in database management and SQL, is essential. Familiarity with sports-specific data sources and analytics platforms is a significant advantage. You will work collaboratively with coaches, performance analysts, and management teams, communicating complex findings in a clear and concise manner through comprehensive reports and presentations. This is a fully remote position, requiring strong self-discipline, excellent time management skills, and the ability to work autonomously. A passion for sports and a keen eye for detail are paramount. You will contribute to optimizing athletic performance and achieving competitive advantages through data-driven insights. The role involves staying abreast of the latest trends in sports analytics and incorporating new methodologies into your work. If you are passionate about the intersection of sports and data, possess exceptional analytical skills, and are looking for a challenging and rewarding remote opportunity, this is the perfect fit. This role offers the flexibility to contribute your expertise from anywhere, impacting the success of sports organizations. Join our client's innovative team and help shape the future of sports performance analysis. This position is based remotely but connected to the operations in **Nyeri, Nyeri, KE**, offering a unique blend of global impact and local presence.
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Senior Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their dynamic team. This role is fully remote, offering the flexibility to work from anywhere within Kenya while contributing to cutting-edge sports performance analysis. You will be responsible for collecting, cleaning, and interpreting complex datasets related to athlete performance, game statistics, and training methodologies. Your insights will directly inform strategic decisions, helping to optimize player development, team tactics, and injury prevention programs. This position demands a strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques. You will collaborate closely with coaches, performance staff, and management to translate data findings into actionable recommendations. Experience with sports-specific performance metrics and a passion for the sports industry are crucial. The ideal candidate will possess excellent communication skills, the ability to present technical information to non-technical audiences, and a proven track record of driving measurable improvements through data analysis. Your responsibilities will include developing predictive models for player performance, identifying key performance indicators (KPIs), and creating comprehensive reports and dashboards. You will also stay abreast of the latest trends and technologies in sports analytics, ensuring our client remains at the forefront of innovation. This is an exciting opportunity for a talented individual to make a significant impact in the world of sports, leveraging data to achieve peak performance. The work environment is collaborative and fast-paced, with a strong emphasis on continuous learning and professional growth. If you are passionate about sports and possess exceptional analytical skills, we encourage you to apply for this unique remote opportunity based in Ongata Rongai, Kajiado, KE .
This advertiser has chosen not to accept applicants from your region.
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Sports Analytics Specialist - Remote
Posted 17 days ago
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Job Description
Our client is seeking a data-driven and passionate Sports Analytics Specialist to join their team in a fully remote capacity. This role is dedicated to leveraging advanced data analysis techniques to provide actionable insights that enhance athletic performance, team strategy, and fan engagement. You will work with various datasets, including player statistics, game data, and performance metrics, to identify trends, predict outcomes, and support decision-making across the organization. The ideal candidate has a strong background in sports, statistics, and data science, with a proven ability to communicate complex findings to both technical and non-technical audiences.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and analyze large datasets related to sports performance, including player statistics, game events, and biomechanical data.
- Develop and implement statistical models to identify key performance indicators and predict outcomes.
- Create compelling visualizations and dashboards to communicate analytical insights effectively.
- Collaborate with coaches, athletes, and management to understand their data needs and provide tailored insights.
- Identify opportunities to improve team strategy, player development, and operational efficiency through data analysis.
- Research and stay updated on the latest trends and technologies in sports analytics and data science.
- Contribute to the development of data-driven decision-making processes within the organization.
- Design and evaluate experiments to test hypotheses related to performance and strategy.
- Maintain data integrity and ensure the security of sensitive information.
- Prepare reports and presentations summarizing findings and recommendations.
- Bachelor's degree in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in sports analytics or a related data analysis role.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
- Strong understanding of statistical concepts, modeling techniques, and experimental design.
- A passion for sports and a solid understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with sports-specific analytics platforms or databases is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Sports Analytics Specialist, Performance Optimization
Posted 5 days ago
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Job Description
Our client is seeking a dedicated Sports Analytics Specialist to enhance athlete performance through data-driven insights. This is a fully remote position, ideal for a quantitatively skilled individual passionate about sports and leveraging data to gain a competitive edge. You will be responsible for collecting, analyzing, and interpreting complex datasets to provide actionable recommendations for coaches and athletes.
Responsibilities:
This role is fully remote, offering the ultimate flexibility, though the insights generated will support athletic endeavors potentially in regions known for vibrant sporting cultures, such as **Malindi, Kilifi, KE**. We are seeking candidates with a strong background in statistics, data science, or a related quantitative field, combined with a profound understanding of sports. Excellent communication and data visualization skills are essential. If you are driven by uncovering hidden patterns in data to elevate athletic achievement, apply now.
Responsibilities:
- Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
- Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
- Analyze game footage and athlete movements to extract key performance indicators (KPIs).
- Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
- Create comprehensive reports and visualizations to communicate findings effectively.
- Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
- Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
- Contribute to the development of new data collection and analysis methodologies.
- Ensure data integrity and confidentiality.
- Present findings and recommendations in a compelling manner to stakeholders.
This role is fully remote, offering the ultimate flexibility, though the insights generated will support athletic endeavors potentially in regions known for vibrant sporting cultures, such as **Malindi, Kilifi, KE**. We are seeking candidates with a strong background in statistics, data science, or a related quantitative field, combined with a profound understanding of sports. Excellent communication and data visualization skills are essential. If you are driven by uncovering hidden patterns in data to elevate athletic achievement, apply now.
This advertiser has chosen not to accept applicants from your region.
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Senior HR Analytics Specialist
Posted 21 days ago
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Job Description
Our client, a leading international organization, is seeking a highly analytical and strategic Senior HR Analytics Specialist to join their fully remote People Operations team. This crucial role will focus on leveraging data to drive informed decision-making across all aspects of human resources, from talent acquisition and development to employee engagement and retention. You will be responsible for designing, developing, and implementing advanced HR analytics solutions, including predictive modeling and dashboard creation. Your work will involve analyzing complex datasets related to workforce demographics, performance, compensation, turnover, and engagement to identify key trends, patterns, and actionable insights. This is a remote-first position, requiring exceptional communication and collaboration skills to effectively partner with HR business partners, leadership, and other stakeholders across the organization. You will conduct virtual data deep dives, present findings and recommendations, and influence HR strategy with data-driven evidence. The ideal candidate will possess a strong understanding of HR processes, coupled with expertise in data analysis, statistical modeling, and visualization tools. Your ability to translate complex HR data into clear, concise, and actionable business insights will be essential for success. We are looking for a proactive, innovative individual with a passion for using data to build a better workplace.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement HR analytics strategies and solutions.
- Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
- Develop and maintain HR dashboards and reports to visualize key metrics and insights.
- Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
- Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Ensure data integrity, accuracy, and compliance with data privacy regulations.
- Stay current with the latest trends and best practices in HR analytics and people data science.
- Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
- Collaborate with IT and data management teams to ensure robust data infrastructure.
Qualifications:
- Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
- Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
- Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
- Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication and presentation skills.
- Ability to work independently and manage multiple complex projects in a remote environment.
- Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
- Demonstrated ability to influence stakeholders and drive data-informed decision-making.
- Strong ethical grounding and commitment to data privacy.
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Lead Sports Analytics Specialist - Remote
Posted 21 days ago
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Job Description
Our client, a forward-thinking sports technology company, is seeking a highly analytical and innovative Lead Sports Analytics Specialist to join their expanding remote team. This role is a fully remote position, enabling you to contribute from any location within Kenya. You will be instrumental in leveraging data to provide critical insights that enhance athletic performance, team strategy, and fan engagement. Your responsibilities will include designing and implementing sophisticated data models, conducting in-depth statistical analysis, and developing predictive models to forecast trends and outcomes. You will translate complex data findings into actionable recommendations for coaches, athletes, and management. This role requires a deep understanding of various sports, coupled with expertise in data science, machine learning, and statistical software. The ideal candidate is a strategic thinker with a passion for sports and a proven ability to communicate complex analytical concepts to both technical and non-technical audiences. You will lead a team of analysts, mentor junior members, and ensure the quality and integrity of all analytical outputs. Collaboration with product development teams to integrate insights into new features and services will also be a key part of your role. Experience in performance analysis, scouting data, or fan engagement analytics is highly desirable. You should be adept at using tools such as Python, R, SQL, and data visualization platforms. This is a fantastic opportunity to shape the future of sports through data-driven innovation, working in a flexible, remote environment. The primary focus for this role is connected to **Nyeri, Nyeri, KE**, but the work itself is performed remotely.
Responsibilities:
Responsibilities:
- Design and implement advanced statistical models and machine learning algorithms for sports data.
- Analyze performance data to provide actionable insights for athletes and coaches.
- Develop predictive models for game outcomes, player performance, and strategic planning.
- Create compelling data visualizations and reports to communicate findings.
- Collaborate with coaching staff and management to integrate analytics into decision-making processes.
- Lead and mentor a team of junior sports analysts.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Contribute to the development of new analytical tools and methodologies.
- Ensure the accuracy, reliability, and security of all data processed.
- Present findings and recommendations to diverse stakeholders, including executive leadership.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related field.
- Demonstrated expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R.
- Experience with SQL and database management.
- Strong understanding of sports performance metrics and relevant data sources.
- Excellent communication and presentation skills, with the ability to explain complex findings simply.
- Proven ability to lead and mentor a team.
- Passion for sports and a data-driven approach to problem-solving.
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8
Remote Lead Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a highly skilled and experienced Lead Sports Analytics Specialist to spearhead their data-driven insights into athletic performance and strategy. This is a fully remote position, requiring a sophisticated understanding of sports, statistics, and data analysis tools. You will be responsible for developing and implementing advanced analytical models to evaluate player performance, predict game outcomes, and optimize team strategies across various sports. Your role will involve collecting and processing large datasets from multiple sources, including performance metrics, biometric data, and video analysis. You will work closely with coaches, performance staff, and management to translate complex data findings into actionable recommendations that enhance training, improve player development, and contribute to winning outcomes. The ideal candidate will possess strong leadership qualities, exceptional analytical and problem-solving skills, and a deep passion for sports and data.
Responsibilities:
Responsibilities:
- Lead the development and application of advanced analytical models for sports performance evaluation.
- Analyze vast datasets related to player statistics, game events, and physical performance.
- Develop predictive models to forecast game outcomes, identify optimal strategies, and assess risk.
- Collaborate with coaching staff and performance analysts to provide data-driven insights and recommendations.
- Design and implement methodologies for talent identification and player scouting using data.
- Create compelling visualizations and reports to communicate complex analytical findings to stakeholders.
- Stay current with the latest trends and technologies in sports analytics and data science.
- Mentor junior analysts and contribute to the growth of the analytics team.
- Ensure data integrity and accuracy throughout all analytical processes.
- Contribute to the strategic decision-making of the sports organization through rigorous data analysis.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, with a proven track record of impactful contributions.
- In-depth knowledge of statistical modeling, machine learning techniques, and data mining.
- Proficiency in programming languages such as Python or R, and relevant data analysis libraries.
- Experience with data visualization tools (e.g., Tableau, Power BI) and database management.
- Strong understanding of various sports, their rules, and key performance indicators.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience managing projects and leading a team is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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