2,272 Lead Sports Analytics Specialist Remote jobs in Kenya
Lead Sports Analytics Specialist - Remote
Posted 17 days ago
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Job Description
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.
Senior Sports Analytics & Performance Analyst (Remote)
Posted 19 days ago
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Job Description
Responsibilities:
- Collect, clean, and analyze performance data from various sources (e.g., GPS tracking, video analysis, physiological sensors).
- Develop and implement advanced statistical models and machine learning techniques to identify trends, predict outcomes, and evaluate player/team performance.
- Create comprehensive reports and visualizations to communicate key findings and insights to coaches and stakeholders.
- Provide data-driven recommendations for training programs, tactical strategies, and athlete development plans.
- Collaborate with coaching staff to set performance benchmarks and monitor progress towards goals.
- Identify and evaluate new technologies and methodologies for sports performance analysis.
- Stay current with the latest research and trends in sports science, analytics, and performance optimization.
- Develop and maintain databases and analytical tools to support ongoing research and reporting.
- Mentor junior analysts and contribute to the growth of the analytics department.
- Ensure the integrity and accuracy of all data collected and analyzed.
- Present findings and insights effectively to diverse audiences, including non-technical stakeholders.
The ideal candidate will have a Master's degree in Sports Science, Statistics, Data Science, or a related quantitative field, along with significant experience in sports performance analysis. Proficiency in programming languages (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI) is essential. Strong analytical, critical thinking, and problem-solving skills are required. Excellent communication and presentation skills are necessary to convey complex information effectively. As a remote role, exceptional self-discipline, time management, and the ability to work independently are paramount. Join our client and help shape the future of sports performance.
Remote Lead Sports Analytics Specialist
Posted 20 days ago
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Lead Remote Sports Data Analyst (Remote)
Posted 20 days ago
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Job Description
Key responsibilities include designing data collection methodologies, ensuring data integrity, and building robust predictive models for player performance, match outcomes, and market trends. You will lead a team of data analysts, providing mentorship, guidance, and fostering a collaborative research environment. Collaboration with coaching staff, marketing teams, and management will be essential to integrate data-driven strategies across the organization. This role requires excellent communication skills to present complex findings clearly and concisely to both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with SQL databases are mandatory. Familiarity with data visualization tools like Tableau or Power BI is also highly valued.
We are seeking an individual who is passionate about sports and possesses an insatiable curiosity for uncovering hidden patterns within data. The ability to work independently, manage multiple projects simultaneously, and meet tight deadlines in a remote setting is paramount. You should be comfortable exploring new analytical techniques and technologies to stay at the forefront of sports data science. This position offers an exciting opportunity to make a significant impact on our client's success by transforming raw data into strategic advantages.
Location: Mlolongo, Machakos, KE
Senior Performance Analyst - Sports Analytics (Remote)
Posted today
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Job Description
Responsibilities:
- Collect, clean, and analyze performance data from athletes and teams.
- Develop and implement advanced statistical models to identify performance trends.
- Generate actionable insights and recommendations for coaches and athletes.
- Create comprehensive reports and visualizations to communicate findings.
- Collaborate with coaching staff and sports science departments.
- Identify key performance indicators (KPIs) for various sports disciplines.
- Stay current with the latest trends and technologies in sports analytics.
- Utilize sports-specific software and programming languages (e.g., Python, R).
- Contribute to the development of data-driven training and tactical strategies.
- Maintain data integrity and ensure confidentiality of sensitive information.
- Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related quantitative field.
- Minimum of 5 years of experience in sports performance analysis or a similar role.
- Proven expertise in statistical analysis, data mining, and predictive modeling.
- Proficiency in programming languages like Python or R for data analysis.
- Experience with sports analytics software and data visualization tools.
- Strong understanding of biomechanics, physiology, and sports-specific performance metrics.
- Excellent communication and presentation skills, with the ability to explain complex data.
- Self-motivated, organized, and able to work independently in a remote setting.
Sports Data Analyst & Performance Strategist (Remote)
Posted 13 days ago
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Job Description
Responsibilities:
- Collect, clean, and organize performance data from various sources, including wearable technology, video analysis, and statistical databases.
- Develop and implement statistical models to analyze player and team performance metrics.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Create compelling data visualizations and reports to communicate findings to coaches, athletes, and management.
- Provide data-driven insights and recommendations to optimize training programs, game strategies, and player development.
- Collaborate with coaching staff to understand their needs and translate them into data analysis requirements.
- Stay current with advancements in sports analytics tools, technologies, and methodologies.
- Evaluate the effectiveness of implemented strategies and make adjustments as needed.
- Contribute to the development of predictive models for player performance and injury risk.
- Maintain data integrity and ensure the security of sensitive performance information.
- Present findings and insights in a clear and concise manner, both written and verbal.
- Bachelor's degree in Statistics, Data Science, Sports Science, Kinesiology, or a related quantitative field; Master's degree preferred.
- Minimum of 4 years of experience in sports data analysis or performance analysis.
- Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, SciPy), R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of sports statistics, biomechanics, and performance principles.
- Familiarity with sports-specific data sources and analytics platforms is highly desirable.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Proven ability to work independently and manage time effectively in a remote work environment.
- Passion for sports and a commitment to leveraging data for athletic improvement.
Senior Sports Performance Analyst - Remote Analytics
Posted 3 days ago
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Job Description
Responsibilities:
- Collect, process, and analyze vast amounts of athlete and team performance data from various sources (e.g., wearable sensors, video analysis, GPS tracking).
- Develop and implement sophisticated statistical models and algorithms to identify performance trends, predict outcomes, and uncover actionable insights.
- Create clear and concise reports, visualizations, and presentations to communicate findings to coaches, athletes, and management teams.
- Collaborate with coaching staff to understand their needs and translate them into data-driven performance enhancement strategies.
- Identify key performance indicators (KPIs) relevant to different sports and specific athletic goals.
- Assist in the development and implementation of performance testing protocols and evaluation methodologies.
- Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
- Contribute to the development of proprietary software tools and analytical frameworks.
- Ensure data integrity and accuracy throughout the analysis process.
- Provide ongoing support and insights to teams and athletes throughout competitive seasons.
- Mentor junior analysts and contribute to the overall knowledge base of the performance analysis department.
- Maintain confidentiality of sensitive performance data.
Qualifications:
- Master's degree or Ph.D. in Sports Science, Biomechanics, Statistics, Data Science, or a related quantitative field.
- Minimum of 6 years of experience in sports performance analysis, ideally with elite athletes or professional teams.
- Proven expertise in statistical modeling, data mining, and machine learning techniques.
- Proficiency in data analysis software such as R, Python (with libraries like Pandas, NumPy, SciPy), or MATLAB.
- Experience with sports-specific data visualization tools and platforms.
- Strong understanding of physiology, biomechanics, and training methodologies across various sports.
- Excellent analytical and problem-solving skills with a meticulous attention to detail.
- Outstanding written and verbal communication skills, with the ability to explain complex data insights to non-technical audiences.
- Ability to work independently, manage multiple projects, and meet deadlines in a fully remote environment.
- Experience with GPS tracking systems, video analysis software (e.g., Hudl, Dartfish), and wearable technology.
- A genuine passion for sports and a deep understanding of athletic performance.
This is an exceptional opportunity to work at the cutting edge of sports science and data analytics, contributing to the success of elite athletes and teams from a fully remote setting. Our client fosters a culture of innovation, collaboration, and continuous improvement, valuing deep analytical expertise and a passion for sports. The ideal candidate will be a highly motivated self-starter with a keen eye for detail and a commitment to evidence-based practice. Our client is dedicated to pushing the boundaries of athletic performance through data-driven insights. The successful candidate will play a critical role in shaping training regimens, injury prevention strategies, and competitive tactics. Our client offers a competitive compensation package and the flexibility of a fully remote position, providing an ideal work-life balance for a dedicated professional. We are looking for an individual who can translate complex data into tangible performance improvements, regardless of their physical location.
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Senior Sports Performance Analyst - Remote Data Scientist
Posted 18 days ago
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Job Description
Responsibilities:
- Collect, clean, and analyze performance data from athletes and teams using advanced statistical techniques and machine learning algorithms.
- Develop and implement predictive models to forecast player performance and identify potential injury risks.
- Provide actionable insights and recommendations to coaches, athletes, and management on performance enhancement strategies.
- Design and conduct statistical analyses of game and training data to evaluate tactical effectiveness and individual player contributions.
- Work with video analysis tools to quantify athlete movements and identify areas for improvement.
- Create clear and concise visualizations and reports to communicate complex findings to non-technical stakeholders.
- Collaborate with sports scientists, medical staff, and coaches to integrate performance data into holistic training programs.
- Stay abreast of the latest research and technological advancements in sports science, data analytics, and performance monitoring.
- Maintain a comprehensive database of athlete performance metrics.
- Contribute to the development of talent identification and scouting processes through data-driven insights.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Sports Science, Biomechanics, or a related quantitative field.
- Minimum of 7 years of experience in sports performance analysis, data science, or a similar analytical role.
- Proficiency in programming languages such as Python or R and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Strong knowledge of statistical modeling, machine learning, and data visualization techniques.
- Experience with sports performance tracking technologies (e.g., GPS trackers, motion sensors) and data analysis platforms.
- Deep understanding of sports physiology, biomechanics, and training principles across various disciplines.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to translate complex data into understandable insights.
- Experience working within a professional sports environment is highly desirable.
- Ability to work effectively as part of a multidisciplinary team.
Senior Sports Performance Analyst - Remote Analytics Lead
Posted 13 days ago
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Job Description
Senior Sports Performance Analyst - Remote Data Insights
Posted 16 days ago
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Job Description
Key Responsibilities:
- Collect, process, and analyze large datasets related to athlete and team performance.
- Develop and implement advanced statistical models to identify performance trends, strengths, and weaknesses.
- Create clear and compelling visualizations and reports to communicate findings to coaches and athletes.
- Collaborate with coaching staff to set performance goals and design training programs based on data insights.
- Monitor athlete load, fatigue, and injury risk using physiological and performance data.
- Evaluate the effectiveness of training interventions and game strategies.
- Stay abreast of the latest research and advancements in sports science, performance analysis, and data analytics.
- Develop and maintain databases and analytical tools to support performance monitoring.
- Provide objective feedback and recommendations to enhance individual and team performance.
- Contribute to the continuous improvement of the team's performance analysis capabilities.
Qualifications:
- Bachelor's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field; Master's degree preferred.
- Minimum of 5 years of experience in sports performance analysis or a similar data-centric role within sports.
- Proficiency in statistical software packages (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Experience with sports-specific data collection tools and performance tracking technologies.
- Strong understanding of biomechanics, physiology, and training principles relevant to various sports.
- Excellent data visualization and reporting skills (e.g., Tableau, Power BI).
- Strong analytical and problem-solving abilities with meticulous attention to detail.
- Effective communication and presentation skills, with the ability to translate complex data into understandable insights.
- Ability to work independently and manage projects effectively in a remote environment.
- Passion for sports and a commitment to leveraging data for performance enhancement.
- Experience working with elite athletes or professional sports teams is a significant advantage.