2,271 Remote Sports Analytics Specialist jobs in Kenya
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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Senior Remote Sports Analytics Specialist
Posted 17 days ago
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Job Description
Our client, a leading entity in the sports industry, is seeking a highly analytical and data-driven Senior Remote Sports Analytics Specialist to join our fully remote team. This is an exciting opportunity to leverage advanced statistical techniques and data visualization tools to uncover insights that drive strategic decisions across various sports disciplines. You will be responsible for collecting, processing, and analyzing vast datasets related to player performance, team dynamics, and game outcomes. The ideal candidate possesses a strong background in statistics, data science, or a related quantitative field, coupled with a deep passion for sports. You should be proficient in data analysis languages like Python or R, and experienced with SQL databases and data visualization software (e.g., Tableau, Power BI). Key responsibilities include developing predictive models, identifying performance trends, evaluating player recruitment strategies, and providing actionable recommendations to coaches, management, and athletes. We are looking for a self-motivated individual who can work independently, communicate complex findings clearly to diverse stakeholders, and contribute to a culture of data-informed decision-making. This role offers a unique chance to influence the performance and strategy of elite sports teams from the comfort of your home, contributing directly to competitive success. Your analytical prowess will be instrumental in optimizing team strategies, identifying talent, and enhancing overall performance. The successful candidate will be a sharp, inquisitive mind with a knack for translating complex data into clear, impactful insights.
Responsibilities:
Responsibilities:
- Collect, clean, and organize large datasets related to sports performance and outcomes.
- Apply statistical modeling and machine learning techniques to analyze data and identify key insights.
- Develop predictive models for player performance, game outcomes, and strategy effectiveness.
- Create compelling data visualizations and reports to communicate findings to coaches, management, and athletes.
- Evaluate player statistics and scouting reports to support recruitment and talent identification.
- Provide data-driven recommendations to improve team strategy, training methods, and player development.
- Collaborate with stakeholders to understand their data needs and deliver actionable insights.
- Stay up-to-date with the latest advancements in sports analytics, data science, and relevant technologies.
- Contribute to the development of data infrastructure and analytics platforms.
- Maintain data integrity and ensure the security and confidentiality of sensitive information.
- Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar data analysis role.
- Proficiency in statistical programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, SciPy, scikit-learn).
- Strong experience with SQL and database management.
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Deep understanding of sports rules, strategies, and performance metrics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning algorithms and predictive modeling is essential.
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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.
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2
Remote Sports Analyst & Data Scientist
Posted 17 days ago
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Job Description
Our client, a forward-thinking organization in the Leisure & Sports industry, is seeking a highly skilled Remote Sports Analyst and Data Scientist. This fully remote position offers the unique opportunity to leverage advanced data analytics and statistical modeling to derive insights that enhance performance, strategy, and fan engagement. You will work with vast datasets from various sporting events, player statistics, and fan interactions to uncover trends, predict outcomes, and provide actionable recommendations. This role requires a strong blend of statistical expertise, programming skills, and a passion for sports.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and process large datasets from diverse sports-related sources.
- Develop and implement statistical models and machine learning algorithms to analyze player performance, team strategies, and game outcomes.
- Identify key performance indicators (KPIs) and metrics to evaluate athletic performance and team success.
- Create insightful visualizations and reports to communicate findings to coaches, management, and other stakeholders.
- Collaborate with sports professionals to understand their data needs and provide tailored analytical solutions.
- Conduct predictive modeling for game outcomes, player development, and injury prevention.
- Contribute to the development of data-driven strategies to improve team performance and fan engagement.
- Stay current with advancements in data science, sports analytics, and relevant technologies.
- Build and maintain data pipelines and databases for efficient data access and analysis.
- Develop tools and dashboards to support real-time data analysis and decision-making.
- Ensure data integrity and accuracy throughout the analytical process.
- Present complex findings in a clear and concise manner to both technical and non-technical audiences.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, Sports Science, or a related quantitative field.
- Minimum of 3 years of experience in data analysis or data science, with a specialization in sports analytics being highly advantageous.
- Proficiency in programming languages such as Python or R for data manipulation, analysis, and machine learning.
- Strong knowledge of statistical methods, machine learning algorithms, and data visualization techniques.
- Experience with SQL and working with relational databases.
- Familiarity with sports data sources and metrics across various disciplines (e.g., football, basketball, athletics).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data insights clearly.
- Ability to work independently and manage time effectively in a remote setting.
- A genuine passion for sports and a keen interest in applying data science to athletic performance.
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Remote Sports Analyst - Data Focused
Posted 19 days ago
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Job Description
Our client, a forward-thinking organization in the leisure and sports sector, is looking for a highly analytical and passionate Remote Sports Analyst to join their fully remote team. This role requires a deep understanding of sports, combined with strong data analysis skills, to provide insights that enhance performance, strategy, and fan engagement. You will work with large datasets, identify trends, and present findings in a clear and concise manner. This is an excellent opportunity to leverage your passion for sports and data from the comfort of your home. The ideal candidate will be adept at using statistical software and data visualization tools. You will be responsible for collecting, processing, and analyzing sports-related data, developing performance metrics, and providing strategic recommendations to coaches, teams, and management. This fully remote position offers the flexibility to work from anywhere, contributing to the exciting world of sports analytics. Your insights will help shape game-day strategies, player development, and long-term team planning.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and analyze sports data from various sources.
- Develop and implement statistical models to identify performance trends and insights.
- Create compelling visualizations and reports to communicate findings to stakeholders.
- Provide data-driven recommendations to improve team performance, strategy, and player development.
- Monitor key performance indicators (KPIs) and provide regular updates.
- Collaborate with coaches, athletes, and management to understand their data needs.
- Research and evaluate new data sources and analytical tools.
- Stay abreast of the latest trends and advancements in sports analytics.
- Contribute to the development of analytical frameworks and methodologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field.
- Proven experience in data analysis, with a strong understanding of statistical concepts.
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- A strong passion for and knowledge of various sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex data insights effectively to both technical and non-technical audiences.
- Ability to work independently and manage projects in a remote environment.
- Experience with sports-specific data is a significant advantage.
- Strong attention to detail and commitment to data accuracy.
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4
Remote Sports Data Analyst
Posted 20 days ago
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Job Description
Our client is seeking a passionate and analytical Remote Sports Data Analyst to join their innovative team. This fully remote role is ideal for individuals who possess a deep understanding of sports analytics and a knack for extracting meaningful insights from complex datasets. While your proximity to **Meru, Meru, KE** is noted, you will be working entirely from a remote location, contributing to projects that shape sports strategy and performance. You will be responsible for collecting, processing, and analyzing sports-related data from various sources to identify trends, evaluate player performance, and provide actionable recommendations to coaches, athletes, and management. The ideal candidate has a strong quantitative background, proficiency in statistical analysis, and experience with data visualization tools. You will work with diverse datasets, including performance metrics, scouting reports, and game statistics, to uncover hidden patterns and inform strategic decision-making. This is a remote-first position, emphasizing flexibility and collaboration within a distributed team. Key responsibilities include developing predictive models, creating insightful reports and dashboards, and communicating findings clearly and concisely to both technical and non-technical stakeholders. Experience with programming languages such as Python or R, and SQL, is essential. A thorough understanding of various sports, their rules, and common performance indicators is highly desirable. If you have a passion for sports and a talent for data analysis, this remote role offers a unique opportunity to combine your interests and advance your career. Join our global team and help us leverage data to achieve athletic excellence.
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5
Remote Sports Analytics and Performance Analyst
Posted 20 days ago
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Job Description
Our client is seeking a data-driven and insightful Remote Sports Analytics and Performance Analyst to enhance athletic performance and strategic decision-making. This is a fully remote position, allowing you to contribute to sporting success from anywhere. You will be responsible for collecting, processing, and analyzing large volumes of performance data from various sports disciplines. This includes utilizing statistical techniques and specialized software to identify trends, evaluate player and team performance, and provide actionable insights to coaches and management. The role requires a deep understanding of sports science, statistical modeling, and data visualization. You will work closely with coaching staff to interpret findings, develop game strategies, and monitor training effectiveness. Proficiency in data analysis tools such as Python (with libraries like Pandas, NumPy), R, SQL, and sports-specific analytics platforms is essential. The ideal candidate will possess strong analytical, problem-solving, and communication skills, with the ability to translate complex data into clear, concise recommendations. Experience in sports analytics, performance monitoring, or a related field is required. You will be instrumental in optimizing player development, injury prevention, and tactical execution. This position offers an exciting opportunity to impact the competitive edge of athletes and teams, contributing to achievements originating from the busy hub of Mlolongo, Machakos, KE , but with a far-reaching influence on athletic performance.
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Remote Sports Data Analyst & Commentator
Posted 19 days ago
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Job Description
Our client is seeking a dynamic and knowledgeable Remote Sports Data Analyst & Commentator to join their innovative sports media team. This fully remote position requires a unique blend of analytical prowess and engaging communication skills to provide real-time insights and lively commentary for a variety of sporting events. You will be responsible for analyzing game statistics, identifying key trends, and translating this data into compelling narratives for live broadcasts and online content. The ideal candidate is passionate about sports, possesses strong analytical capabilities, and can articulate insights clearly and engagingly.
Responsibilities:
Responsibilities:
- Monitor live sporting events, collecting and analyzing key performance data and statistics in real-time.
- Develop insightful narratives and commentary based on game progression, player performance, and statistical trends.
- Deliver live, engaging, and informative commentary for online broadcasts, podcasts, or other media platforms.
- Create pre-game and post-game analysis reports, highlighting significant findings and predictions.
- Collaborate with production teams to ensure commentary aligns with broadcast requirements and overall content strategy.
- Research and stay updated on sports rules, player statistics, team histories, and emerging trends.
- Identify opportunities for data-driven storytelling within sports coverage.
- Maintain a high level of accuracy and impartiality in analysis and commentary.
- Utilize specialized sports data platforms and software to enhance analysis.
- Engage with online audiences through Q&A sessions or social media interactions related to commentary and analysis.
- Contribute to the development of new content formats and analytical tools.
- Bachelor's degree in Sports Management, Journalism, Communications, Statistics, or a related field.
- Proven experience in sports analysis and/or live commentary, with a strong portfolio showcasing relevant work.
- Deep understanding of various sports, their rules, strategies, and relevant statistical metrics.
- Excellent analytical skills with the ability to interpret complex data quickly.
- Exceptional verbal communication and presentation skills, with a clear, engaging, and dynamic broadcasting voice.
- Proficiency in using sports analytics software and data visualization tools.
- Ability to work flexible hours, including evenings, weekends, and holidays, to cover live events.
- Strong research skills and ability to stay informed about sports news.
- Self-motivated, disciplined, and able to manage time effectively in a remote work environment.
- Tech-savvy with reliable high-speed internet and quality audio/video equipment.
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7
Remote Senior Sports Analytics Specialist
Posted 10 days ago
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Job Description
Our client, a leading innovator in sports technology and performance analysis, is seeking a highly skilled and motivated Remote Senior Sports Analytics Specialist to join their dynamic team. This is a fully remote position, offering flexibility and the opportunity to work from anywhere within Kenya. You will be instrumental in developing and implementing advanced analytical models that drive strategic decisions across various sports disciplines. Your expertise will directly impact player development, team performance, and competitive strategy. You will collaborate with coaches, athletes, and management to translate complex data into actionable insights, identifying trends, predicting outcomes, and evaluating performance metrics. Responsibilities include data collection, cleaning, and preprocessing from diverse sources such as wearable sensors, video analysis, and statistical databases. You will design, build, and maintain predictive models, machine learning algorithms, and data visualizations using cutting-edge tools and programming languages. Furthermore, you will conduct deep-dive analyses to uncover performance drivers, identify areas for improvement, and provide data-driven recommendations. Presenting your findings clearly and concisely to both technical and non-technical stakeholders will be a crucial part of your role. The ideal candidate possesses a strong academic background in a quantitative field such as Statistics, Data Science, Mathematics, Computer Science, or a related discipline, coupled with significant practical experience in sports analytics. Proficiency in programming languages like Python or R, along with experience in SQL for database management, is essential. Familiarity with data visualization tools (e.g., Tableau, Power BI) and a solid understanding of statistical modeling and machine learning techniques are required. A genuine passion for sports and a proven ability to communicate complex analytical concepts effectively are paramount. If you are a data-driven strategist with a love for sports and thrive in a remote, collaborative environment, this is the perfect opportunity for you to make a significant impact. This role is based remotely, with an emphasis on the Ruiru, Kiambu, KE region's talent pool, but open to qualified candidates nationwide.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and refine sophisticated analytical models for sports performance.
- Conduct in-depth data analysis to identify key performance indicators and trends.
- Build and maintain machine learning models for predictive analytics.
- Collaborate with cross-functional teams to implement data-driven strategies.
- Present complex findings to stakeholders in an understandable format.
- Ensure data integrity and accuracy throughout the analysis process.
- Stay abreast of the latest advancements in sports analytics and data science.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
- 5+ years of experience in sports analytics or a similar quantitative role.
- Expert proficiency in Python or R for data analysis and machine learning.
- Strong SQL skills for data querying and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent understanding of statistical methods and machine learning algorithms.
- Exceptional communication and presentation skills.
- A passion for sports and a deep understanding of athletic performance.
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8
Lead Remote Sports Data Analyst
Posted 4 days ago
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Job Description
Our client, a cutting-edge sports analytics firm, is seeking a Lead Remote Sports Data Analyst to spearhead their data-driven insights team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights that enhance performance, strategy, and fan engagement for elite athletic organizations. The ideal candidate possesses a deep understanding of statistical modeling, machine learning techniques, and has a passion for sports. You will lead a team of analysts, guide data collection methodologies, and present findings to key stakeholders, including coaches, management, and athletes. Responsibilities include: developing and implementing advanced analytical models; identifying key performance indicators (KPIs) and metrics for various sports; creating compelling data visualizations and reports; collaborating with sports scientists and coaches to translate data into strategic decisions; mentoring and guiding junior data analysts; staying abreast of the latest trends in sports analytics and data science; managing data integrity and ensuring accuracy; contributing to the development of proprietary analytical tools. This role requires a strong analytical mind, excellent problem-solving abilities, and exceptional communication skills, particularly in conveying technical information to non-technical audiences. As a remote leader, you must demonstrate strong organizational skills and the ability to foster a collaborative team environment virtually. The ability to work independently, manage multiple projects, and deliver high-quality results under pressure is paramount. We are looking for an innovative thinker who can push the boundaries of sports analytics and contribute significantly to the success of our client's partners. This remote opportunity offers a chance to impact the world of sports through the power of data.
Qualifications:
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 5-7 years of experience in sports analytics or a similar data-intensive field.
- Proven experience leading a team of analysts and managing projects.
- Expertise in statistical analysis, predictive modeling, and machine learning algorithms.
- Proficiency in programming languages such as Python or R, and associated data science libraries.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports and their performance metrics.
- Excellent communication and presentation skills, with the ability to convey complex data insights effectively.
- Demonstrated ability to work independently and manage remote teams.
- Experience with database management (SQL) and big data technologies is a plus.
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