2,271 Sports Analytics Specialist jobs in Kenya
Remote Sports Data Analyst - Leisure & Sports
Posted 4 days ago
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Job Description
Our client, a dynamic organization within the leisure and sports sector, is seeking a skilled and passionate Sports Data Analyst to join their fully remote team. This role is perfect for an individual who thrives on dissecting performance metrics, identifying trends, and translating complex data into actionable insights for athletes, coaches, and management. You will be responsible for collecting, processing, and analyzing vast datasets related to athletic performance, game statistics, and player development. Your insights will directly contribute to strategic decision-making aimed at enhancing team performance, optimizing training regimes, and improving overall sports operations. This is an excellent opportunity for a data enthusiast to make a significant impact from a remote location.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and manage large datasets related to sports performance, player statistics, and game events.
- Develop and implement statistical models and algorithms to analyze performance trends and identify key insights.
- Create visualizations and reports to communicate complex data findings to coaches, athletes, and management in an understandable format.
- Identify key performance indicators (KPIs) and track progress towards achieving performance goals.
- Collaborate with coaching staff to understand their data needs and provide tailored analytical support.
- Monitor industry trends and advancements in sports analytics tools and methodologies.
- Assist in the development and implementation of data-driven strategies for player recruitment, development, and performance improvement.
- Ensure data integrity and accuracy throughout the analysis process.
- Stay updated on the latest research and best practices in sports science and performance analysis.
- Contribute to the development of predictive models for performance outcomes.
- Work collaboratively with other members of the analytics team in a remote setting.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field.
- Proven experience in data analysis, preferably within the sports industry or a related performance-oriented field.
- Strong proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and database management (SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of sports rules, strategies, and performance metrics.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and meet deadlines in a remote work environment.
- Detail-oriented with a commitment to accuracy and data integrity.
- Passion for sports and a keen interest in leveraging data to improve performance.
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Sports Analytics Specialist
Posted 20 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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Remote Sports Analytics Specialist
Posted 20 days ago
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Job Description
Our client, a forward-thinking sports organization, is seeking a skilled Remote Sports Analytics Specialist to join their data-driven team. This fully remote position will involve leveraging advanced analytical techniques to extract actionable insights from sports data, contributing to strategic decision-making, performance enhancement, and fan engagement. You will work with various data sources, including player statistics, game data, and fan behavior metrics, to identify trends, predict outcomes, and optimize performance. The ideal candidate possesses a strong quantitative background, proficiency in data analysis tools and programming languages, and a deep passion for sports. You will collaborate with coaches, scouts, marketing teams, and management to translate complex data into clear, concise recommendations. This role requires excellent problem-solving skills, attention to detail, and the ability to communicate findings effectively to both technical and non-technical audiences. Key Responsibilities:
- Collect, clean, and process large datasets related to sports performance, statistics, and fan engagement.
- Develop and implement statistical models and machine learning algorithms to analyze sports data.
- Identify key performance indicators (KPIs) and trends relevant to team performance, player development, and fan experience.
- Create compelling visualizations and dashboards to communicate complex data insights to stakeholders.
- Collaborate with coaching staff to provide data-driven insights for game strategy and player training.
- Assist in scouting and player recruitment by analyzing player data and potential.
- Support marketing and sponsorship teams with fan segmentation and engagement analysis.
- Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Contribute to the development of data infrastructure and reporting tools.
- Present findings and recommendations clearly and concisely to diverse audiences.
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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.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Analytics Specialist
Posted 20 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 20 days ago
Job Viewed
Job Description
Our client is seeking a passionate and data-savvy Sports Analytics Specialist to join their innovative team. This is a fully remote position, allowing you to leverage your analytical skills to uncover insights and inform strategies within the exciting world of sports. You will be responsible for collecting, cleaning, and analyzing large datasets related to player performance, game statistics, team dynamics, and fan engagement. Your insights will be crucial in providing actionable recommendations to coaches, management, and marketing teams to enhance performance, optimize strategies, and improve fan experiences.
As a Sports Analytics Specialist, you will develop and implement statistical models, predictive analytics, and data visualizations to identify trends, patterns, and key performance indicators. Your work will involve utilizing various analytical tools and programming languages (e.g., Python, R, SQL) to process and interpret data. You will also contribute to the development of reporting dashboards and presentations that clearly communicate complex findings to both technical and non-technical stakeholders. Staying up-to-date with the latest trends in sports analytics and data science methodologies will be essential.
The ideal candidate will possess a strong analytical mindset, exceptional quantitative skills, and a deep understanding of sports. You should be comfortable working independently in a remote environment, managing multiple data projects simultaneously, and collaborating effectively with team members across different departments. A passion for sports, combined with a solid foundation in data analysis and a commitment to continuous learning, will make you an ideal candidate for this exciting role.
Key Responsibilities:
Required Qualifications:
As a Sports Analytics Specialist, you will develop and implement statistical models, predictive analytics, and data visualizations to identify trends, patterns, and key performance indicators. Your work will involve utilizing various analytical tools and programming languages (e.g., Python, R, SQL) to process and interpret data. You will also contribute to the development of reporting dashboards and presentations that clearly communicate complex findings to both technical and non-technical stakeholders. Staying up-to-date with the latest trends in sports analytics and data science methodologies will be essential.
The ideal candidate will possess a strong analytical mindset, exceptional quantitative skills, and a deep understanding of sports. You should be comfortable working independently in a remote environment, managing multiple data projects simultaneously, and collaborating effectively with team members across different departments. A passion for sports, combined with a solid foundation in data analysis and a commitment to continuous learning, will make you an ideal candidate for this exciting role.
Key Responsibilities:
- Collect, clean, and analyze diverse sports-related datasets.
- Develop and implement statistical models and predictive algorithms.
- Identify key performance indicators (KPIs) and track progress towards goals.
- Create data visualizations and dashboards to communicate insights effectively.
- Provide data-driven recommendations to improve team performance and strategy.
- Collaborate with coaches, management, and marketing teams to address analytical needs.
- Stay abreast of the latest trends in sports analytics and data science.
- Assist in the development of data collection methodologies.
- Communicate findings clearly and concisely to technical and non-technical audiences.
- Contribute to a data-informed decision-making culture.
Required Qualifications:
- Bachelor's degree in Statistics, Data Science, Sports Management, Computer Science, or a related quantitative field.
- Proven experience in sports analytics or a related data analysis role.
- Proficiency in programming languages such as Python or R for data analysis.
- Experience with SQL for database management and querying.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical concepts and modeling techniques.
- Deep knowledge of various sports and their associated metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Demonstrated ability to work independently and manage tasks effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
5
Sports Analytics Specialist, Performance Optimization
Posted 3 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.
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6
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.
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7
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.
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8
Lead Sports Analytics Specialist - Remote
Posted 17 days ago
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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.
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