1,473 Remote Sports Analytics Performance Consultant jobs in Kenya
Senior Sports Analytics Manager - Remote Performance Optimization
Posted 6 days ago
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Remote Sports Analytics and Performance Manager
Posted 11 days ago
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Remote Sports Analytics and Performance Analyst
Posted 20 days ago
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Remote Sports Analytics & Performance Consultant
Posted 20 days ago
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Remote Sports Analytics and Performance Consultant
Posted 20 days ago
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Key responsibilities include developing and implementing advanced analytical models to identify key performance indicators (KPIs) and areas for improvement. You will create clear and compelling data visualizations and reports to communicate findings to stakeholders with varying levels of technical understanding. This role requires a deep understanding of statistical analysis, machine learning techniques, and sports science principles. Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R is essential. Experience with sports-specific analytics platforms and GPS tracking systems is a strong plus. You will collaborate closely with athletes and coaching staff to understand their needs and translate data into actionable recommendations. This consultant will stay current with the latest trends and technologies in sports science and analytics, continuously seeking ways to innovate and add value. Excellent communication, presentation, and interpersonal skills are vital for building rapport and effectively conveying complex information. The ideal candidate is passionate about sports and possesses a strong analytical mindset, with a proven ability to drive performance improvements through data. This unique opportunity allows you to influence the future of sports performance, with a focus on areas impacting regions like Nakuru, Nakuru, KE .
Remote Senior Digital Marketing Manager - Performance & Analytics
Posted 20 days ago
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Remote Sports Data Analyst & Performance Strategist
Posted 20 days ago
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Key Responsibilities:
- Collect, process, and analyze sports performance data from various sources.
- Develop and apply statistical models to identify performance trends and insights.
- Create compelling data visualizations and reports to communicate findings effectively.
- Develop data-driven strategies to enhance individual and team performance.
- Collaborate with coaches, athletes, and sports organizations to understand their needs and deliver tailored solutions.
- Stay updated with the latest advancements in sports analytics, data science, and performance metrics.
- Identify key performance indicators (KPIs) relevant to specific sports and athletes.
- Utilize advanced analytics software and programming languages (e.g., R, Python, SQL).
- Provide insights into opponent strategies and game dynamics.
- Contribute to the development of new analytical methodologies and tools.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, Mathematics, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in sports data analysis or performance analytics.
- Proven experience in statistical modeling, machine learning, and data visualization.
- Proficiency in programming languages such as Python or R, and database management (SQL).
- Strong understanding of various sports and their performance metrics.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional ability to communicate complex data insights to non-technical audiences.
- Experience with sports-specific analytics platforms is a plus.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Strong passion for sports and data-driven decision-making.
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Senior Sports Analytics Consultant - Remote Performance Analyst
Posted 3 days ago
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Responsibilities:
- Collect, clean, and analyze diverse sports-related datasets.
- Develop and implement advanced statistical models and machine learning algorithms.
- Create compelling data visualizations to illustrate key findings and trends.
- Provide actionable insights to improve athletic performance, strategy, and player development.
- Collaborate with coaches, athletes, and management to understand their analytical needs.
- Identify opportunities for data-driven innovation within sports operations.
- Develop custom reports and dashboards for performance tracking.
- Stay abreast of the latest advancements in sports analytics and data science.
- Contribute to the development of analytical tools and platforms.
- Communicate complex analytical findings effectively to diverse audiences.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 7 years of experience in data analysis and analytics, with a significant focus on sports analytics.
- Proficiency in statistical modeling, machine learning, and data visualization techniques.
- Experience with programming languages such as Python or R, and SQL.
- Strong understanding of sports performance metrics and data sources.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex data clearly.
- Demonstrated ability to work independently and collaboratively in a remote environment.
Remote Performance Analyst - Sports Analytics
Posted 20 days ago
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Remote Sports Data Analyst and Performance Strategist
Posted 12 days ago
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Responsibilities:
- Collect, clean, and analyze diverse sports data.
- Develop predictive models for performance and outcomes.
- Create insightful performance reports for coaches and athletes.
- Visualize data using charts, graphs, and dashboards.
- Identify key performance indicators (KPIs) and trends.
- Collaborate with sports professionals to implement data-driven strategies.
- Stay current with sports analytics techniques and technologies.
- Evaluate and recommend new data collection methods.
- Communicate complex findings effectively to stakeholders.
- Support strategic decision-making through data insights.
- Bachelor's degree in Data Science, Statistics, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 3 years of experience in sports data analysis or a related analytical role.
- Proficiency in data analysis languages (Python, R) and SQL.
- Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of statistical modeling and machine learning concepts.
- Excellent analytical and problem-solving skills.
- Deep knowledge of various sports rules, strategies, and performance metrics.
- Ability to communicate complex data insights clearly to non-technical audiences.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Passion for sports and a keen interest in performance optimization.