1,842 Lead Sports Data Analyst jobs in Kenya
Lead Performance Analyst - Sports Analytics
Posted 4 days ago
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Location: This is a fully remote role, supporting athletic programs associated with **Kericho, Kericho, KE**.
Senior Sports Performance Analyst - Data-Driven Athletics
Posted 20 days ago
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Job Description
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.
Lead Sports Analytics Specialist
Posted 20 days ago
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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.
Senior Remote Sports Performance Analyst, Data-Driven Athletics
Posted 20 days ago
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Job Description
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.
Remote Lead Sports Analytics Specialist
Posted 20 days ago
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Lead Sports Analytics Specialist - Remote
Posted 20 days ago
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Job Description
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.
Lead Sports Performance Analyst - Data Science
Posted 15 days ago
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Key Responsibilities:
- Design and implement data collection protocols for athlete performance, training load, and physiological data.
- Utilize statistical modeling and machine learning techniques to analyze performance data and identify trends.
- Develop predictive models for injury risk, performance outcomes, and strategic planning.
- Create visually compelling dashboards and reports to communicate key findings to coaches, athletes, and stakeholders.
- Collaborate closely with coaching staff to integrate performance insights into training programs and game strategies.
- Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
- Manage and maintain performance databases, ensuring data integrity and security.
- Mentor junior performance analysts and contribute to the team's overall technical expertise.
- Evaluate the effectiveness of different training methodologies and interventions through data analysis.
- Contribute to the development of innovative performance monitoring tools and techniques.
- Master's degree or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in sports performance analysis, with a proven track record in elite sports environments.
- Expertise in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of biomechanics, exercise physiology, and sports-specific training principles.
- Experience with wearable technology and motion capture systems is highly desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
- Demonstrated ability to lead projects and collaborate effectively within a remote team setting.
- Experience working with diverse sports disciplines is an advantage.
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Remote Sports Performance Analyst - Data-Driven Athlete Development
Posted 6 days ago
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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.
Remote Lead Sports Performance Analyst - Data Driven Insights
Posted 20 days ago
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Job Description
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.
Senior Project Manager, Research & Development
Posted 20 days ago
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Job Description
- Planning, executing, and finalizing R&D projects according to strict deadlines and within budget, utilizing appropriate tools and techniques.
- Defining project scope, goals, and deliverables in collaboration with senior management and stakeholders.
- Developing comprehensive project plans, including resource allocation, timelines, and risk assessments.
- Managing project budgets, tracking expenditures, and ensuring financial accountability.
- Coordinating the efforts of internal team members and third-party vendors or consultants.
- Communicating project updates, issues, and risks to stakeholders through regular reports and meetings.
- Facilitating effective communication and collaboration among remote R&D teams, including scientists, researchers, and technical staff.
- Identifying and managing project dependencies and critical paths.
- Proactively managing changes in project scope, identifying potential crises, and devising contingency plans.
- Ensuring that all projects are delivered according to quality standards and regulatory requirements.
Qualifications:
- Master's degree or Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Biotechnology) or a related technical field.
- A minimum of 7 years of progressive experience in project management within the R&D sector, preferably in the biotechnology or pharmaceutical industry.
- Proven track record of successfully managing complex, multi-faceted R&D projects from initiation to closure.
- Strong understanding of research methodologies, scientific processes, and regulatory landscapes (e.g., FDA, EMA).
- Excellent knowledge of project management principles and methodologies (e.g., Agile, Waterfall).
- Proficiency with project management software (e.g., MS Project, Jira, Asana).
- Exceptional leadership, communication, negotiation, and interpersonal skills, adapted for a remote working environment.
- Demonstrated ability to lead and motivate remote teams, manage stakeholders, and resolve conflicts effectively.
- Strong analytical and problem-solving skills.
- PMP or PRINCE2 certification is highly desirable.
This is a fully remote position, offering significant flexibility. Join our client's innovative team and contribute to the advancement of life-changing scientific discoveries.