34 Senior Sports Analytics Specialist jobs in whatjobs
Senior Sports Analytics Specialist
Posted 19 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 .
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Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their dynamic team. This fully remote role offers the exciting opportunity to shape strategies and enhance performance through sophisticated data interpretation and predictive modeling within the leisure and sports industry. You will be instrumental in identifying key performance indicators, developing custom metrics, and providing actionable insights to coaching staff and management. Your responsibilities will include collecting, cleaning, and analyzing vast datasets from various sports, including player statistics, game footage, and training data. You will also be responsible for building and maintaining predictive models to forecast outcomes, evaluate player potential, and optimize team strategies. This position requires a deep understanding of statistical methods, machine learning algorithms, and data visualization techniques. The ideal candidate will possess a strong ability to communicate complex findings clearly and concisely to non-technical stakeholders. You will collaborate closely with cross-functional teams, including performance coaches, sports scientists, and management, to ensure data insights are effectively integrated into decision-making processes. This role demands a proactive approach, a keen eye for detail, and a passion for sports analytics. The ability to work independently and manage multiple projects simultaneously in a remote environment is crucial.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models to analyze player and team performance.
- Identify trends, patterns, and anomalies in sports data to provide strategic recommendations.
- Design and conduct A/B tests and other experiments to evaluate the effectiveness of different strategies.
- Create compelling data visualizations and dashboards to communicate insights to stakeholders.
- Collaborate with coaching staff to translate data insights into actionable training and game plans.
- Stay abreast of the latest advancements in sports analytics, machine learning, and data science.
- Manage data integrity and ensure the accuracy and reliability of all analytical outputs.
- Mentor junior analysts and contribute to the team's overall knowledge base.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- 5+ years of experience in sports analytics or a similar data-intensive role.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with database management (SQL) and data warehousing concepts.
- Strong understanding of machine learning techniques and their application.
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to translate complex data into understandable insights.
- Demonstrated passion for sports and a deep understanding of athletic performance.
- Experience working in a remote, distributed team environment.
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1
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading global sports data and analytics firm, is seeking a highly skilled and experienced Senior Sports Analytics Specialist to join our innovative remote team. This role is crucial in transforming raw sports data into actionable insights that drive strategic decisions for professional sports organizations. You will be instrumental in developing predictive models, performance analysis tools, and scouting reports for various athletic disciplines. Working from the comfort of your home office, you will collaborate closely with a distributed team of data scientists, statisticians, and sports domain experts.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms to analyze player performance, team dynamics, and game outcomes across multiple sports.
- Extract, clean, and process large datasets from diverse sources, ensuring data integrity and accuracy.
- Develop and maintain comprehensive performance dashboards and reports for clients, translating complex analytical findings into clear, concise, and visually appealing presentations.
- Collaborate with sports coaches, performance analysts, and management to understand their specific analytical needs and provide tailored data-driven solutions.
- Stay abreast of the latest research and technological advancements in sports analytics, data science, and machine learning, and apply them to enhance existing methodologies and develop new analytical capabilities.
- Contribute to the development of proprietary analytical tools and software solutions.
- Mentor junior analysts and provide guidance on analytical best practices.
- Participate in client meetings and present findings and recommendations.
- Ensure compliance with data privacy regulations and ethical data handling practices.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in sports analytics or a closely related field, with a proven track record of delivering impactful insights.
- Strong proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Expertise in database querying languages (e.g., SQL) and experience working with large, complex datasets.
- In-depth knowledge of statistical modeling techniques, machine learning algorithms, and experimental design.
- Familiarity with major sports leagues and their data structures is highly desirable.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently and manage multiple projects simultaneously in a remote work environment.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join our fully remote team. This role is perfect for someone passionate about sports and possessing a deep understanding of statistical analysis, data visualization, and performance metrics. You will be responsible for collecting, cleaning, and analyzing vast datasets related to athlete performance, team strategies, and game outcomes to provide actionable insights that enhance decision-making and competitive advantage. Leveraging cutting-edge analytical tools and platforms, you will work virtually with coaches, team managers, and other stakeholders.
Your expertise will involve developing predictive models, evaluating player performance, and identifying trends that can optimize training regimens, game strategies, and scouting efforts. As a fully remote position, strong communication skills and the ability to present complex data in an understandable format are essential. You will contribute to a culture of data-informed decision-making, helping our organization achieve its athletic and competitive goals. This is a unique opportunity to apply your analytical prowess to the exciting world of sports from any location.
Responsibilities:
Qualifications:
This fully remote role offers the flexibility to work from anywhere, contributing your analytical skills to the advancement of sports performance. Our client is dedicated to building a high-performing remote team.
Your expertise will involve developing predictive models, evaluating player performance, and identifying trends that can optimize training regimens, game strategies, and scouting efforts. As a fully remote position, strong communication skills and the ability to present complex data in an understandable format are essential. You will contribute to a culture of data-informed decision-making, helping our organization achieve its athletic and competitive goals. This is a unique opportunity to apply your analytical prowess to the exciting world of sports from any location.
Responsibilities:
- Collect, clean, and preprocess large datasets from various sports sources (e.g., player tracking data, game statistics, biometric data).
- Apply statistical methods and machine learning techniques to analyze sports performance data.
- Develop and maintain dashboards and visualizations to communicate key insights to coaches and management.
- Identify trends, patterns, and anomalies in data to inform strategic decisions.
- Evaluate player and team performance, providing objective feedback and recommendations.
- Develop predictive models for game outcomes, player success, and injury risk.
- Collaborate with coaching staff to integrate data insights into training and game plans.
- Stay up-to-date with the latest advancements in sports analytics, data science, and relevant technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Mathematics, Sports Science, Computer Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5-7 years of experience in sports analytics, data analysis, or a related quantitative role.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Knowledge of various sports and their associated performance metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with sports-specific data platforms is a plus.
This fully remote role offers the flexibility to work from anywhere, contributing your analytical skills to the advancement of sports performance. Our client is dedicated to building a high-performing remote team.
This advertiser has chosen not to accept applicants from your region.
3
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization in the Leisure & Sports sector, is seeking a highly skilled and motivated Senior Sports Analytics Specialist to join their dynamic, fully remote team. This role is crucial for enhancing performance, strategy, and fan engagement through data-driven insights. As a Senior Sports Analytics Specialist, you will be responsible for collecting, cleaning, and analyzing large datasets from various sports events, player statistics, and performance metrics. You will develop predictive models to forecast game outcomes, identify player strengths and weaknesses, and optimize training regimens. Your expertise will be vital in providing actionable recommendations to coaches, management, and performance staff, directly impacting strategic decision-making. Furthermore, you will design and implement key performance indicators (KPIs) to track progress towards organizational goals and communicate complex analytical findings in a clear and concise manner through compelling reports and interactive visualizations. Collaboration is key in this role; you will work closely with cross-functional teams, including sports scientists, coaches, and technology developers, to ensure data integrity and align analytical projects with business objectives. The ideal candidate will possess a strong understanding of sports dynamics and a passion for leveraging data to unlock competitive advantages. This is a unique opportunity to shape the future of sports performance from a remote setting, contributing significantly to the success of our client. We are looking for an individual who is not only technically proficient but also a strategic thinker with excellent communication skills, capable of influencing stakeholders at all levels. The position requires a proactive approach to problem-solving and a commitment to staying abreast of the latest advancements in sports analytics and data science. The role offers the flexibility of remote work, allowing you to contribute your expertise from anywhere in Kenya, while being an integral part of our client's mission to excel in the Leisure & Sports industry. You will be instrumental in developing new analytical frameworks and tools that will set new benchmarks in the field. This includes exploring machine learning applications for player scouting and injury prevention. The location focus for this role is **Embu, Embu, KE**, but the position is entirely remote.
This advertiser has chosen not to accept applicants from your region.
4
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a cutting-edge sports analytics firm, is looking for a highly skilled Senior Sports Analytics Specialist to join their fully remote team. This role is perfect for a data-driven individual passionate about sports and capable of translating complex data into actionable insights for athletic performance, strategy, and fan engagement. You will be responsible for collecting, processing, and analyzing vast datasets related to player performance, game statistics, and fan behavior to provide strategic recommendations to sports organizations and media partners. The ability to communicate technical findings to non-technical stakeholders is paramount in this remote position.
Responsibilities:
Responsibilities:
- Design and implement analytical frameworks to evaluate player performance, team strategies, and competitive landscapes across various sports.
- Collect, clean, and process large datasets from diverse sources, ensuring data integrity and accuracy.
- Utilize advanced statistical modeling and machine learning techniques to uncover trends, predict outcomes, and identify key performance indicators (KPIs).
- Develop dashboards and reports to visualize data and present complex findings in a clear and concise manner for stakeholders.
- Collaborate with coaches, athletes, and management to understand their analytical needs and provide tailored insights.
- Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Conduct in-depth research on specific sports, leagues, and players to enhance analytical capabilities.
- Develop predictive models for player recruitment, injury prevention, and game outcome forecasting.
- Contribute to the development of proprietary analytical tools and methodologies.
- Present findings and recommendations through clear and compelling reports and presentations.
- Work closely with software engineers to integrate analytical models into product offerings.
- Mentor junior analysts and contribute to the knowledge sharing within the team.
- Ensure ethical data handling and privacy standards are maintained.
- Evaluate and recommend new data sources and analytical tools.
- Foster strong relationships with clients and partners through effective communication and delivery of high-value insights.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- A minimum of 5 years of experience in data analysis, statistical modeling, or sports analytics.
- Strong proficiency in programming languages commonly used in data science (e.g., Python, R) and SQL.
- Expertise in statistical modeling, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports rules, strategies, and performance metrics across multiple disciplines.
- Proven ability to translate complex data into actionable business insights.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Demonstrated ability to work independently and manage projects effectively in a remote, collaborative environment.
- A passion for sports and a keen interest in leveraging data to gain a competitive edge.
- Must have a reliable high-speed internet connection and a dedicated home office space for remote work.
This advertiser has chosen not to accept applicants from your region.
5
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their dynamic remote team. In this pivotal role, you will be responsible for developing and implementing advanced statistical models to gain insights into player performance, team strategies, and game outcomes. You will work closely with coaching staff and management to translate complex data into actionable recommendations that drive performance improvements and strategic decision-making.
Key Responsibilities:
Qualifications:
This is a fully remote position, offering the flexibility to work from anywhere. We are looking for an individual who thrives in a collaborative, results-oriented environment and is passionate about leveraging data to shape the future of sports.
Key Responsibilities:
- Design, develop, and maintain sophisticated statistical models and algorithms to analyze sports data.
- Collect, clean, and validate large datasets from various sources, ensuring data integrity and accuracy.
- Perform in-depth statistical analysis to identify trends, patterns, and key performance indicators for individual athletes and teams.
- Develop predictive models for game outcomes, player performance, and injury risk.
- Create clear and concise visualizations, reports, and presentations to communicate findings and recommendations to stakeholders, including coaches and executive management.
- Collaborate with cross-functional teams to integrate data insights into training programs and tactical planning.
- Stay abreast of the latest advancements in sports analytics, data science, and machine learning.
- Mentor junior analysts and contribute to the development of the analytics infrastructure.
- Ensure the ethical and responsible use of data in all analytical processes.
- Contribute to the continuous improvement of data collection methodologies and analytical tools.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Proven experience (5+ years) in sports analytics, with a strong portfolio demonstrating impact.
- Expertise in statistical programming languages such as R, Python, or MATLAB.
- Proficiency in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of machine learning algorithms and their application in sports.
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote environment.
- Demonstrated ability to translate complex data into practical, actionable insights.
- A passion for sports and a deep understanding of various sporting disciplines.
- Experience with database management (SQL) is a plus.
This is a fully remote position, offering the flexibility to work from anywhere. We are looking for an individual who thrives in a collaborative, results-oriented environment and is passionate about leveraging data to shape the future of sports.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading organization in the sports industry, is seeking a highly skilled and data-driven Senior Sports Analytics Specialist. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for leveraging advanced analytical techniques to provide actionable insights that enhance athletic performance, game strategy, and fan engagement. The ideal candidate possesses a strong background in statistical modeling, data visualization, and a deep understanding of various sports disciplines. You will work closely with coaches, athletes, and management to translate complex data into clear, concise recommendations that drive decision-making. This role requires a proactive approach to identifying key performance indicators, developing predictive models, and assessing the effectiveness of training programs and strategic initiatives. Your ability to communicate technical findings to non-technical stakeholders will be crucial for success. This is an exciting opportunity to influence the strategic direction of a prominent sports entity. Key Responsibilities:
- Develop and implement advanced statistical models to analyze player and team performance.
- Design and conduct in-depth data analysis to identify trends, patterns, and insights related to game outcomes.
- Create compelling data visualizations and reports to communicate findings to coaches, athletes, and executives.
- Collaborate with coaching staff to integrate data-driven insights into training regimens and game strategies.
- Identify and track key performance indicators (KPIs) for individual athletes and teams.
- Develop predictive models for player performance, injury risk, and game outcomes.
- Evaluate the effectiveness of different strategies and interventions using empirical data.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Manage and maintain sports-related databases, ensuring data integrity and accessibility.
- Provide data support for scouting and talent identification processes.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- 5+ years of experience in sports analytics or a related analytical role.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports principles and performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
7
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a prominent organization in the sports industry, is looking for a highly analytical Senior Sports Analytics Specialist to join their fully remote team. This role is pivotal in leveraging data to enhance athletic performance, strategy, and fan engagement. You will be responsible for collecting, cleaning, and analyzing vast datasets from various sports, including player statistics, game data, and performance metrics. The ideal candidate will have a strong quantitative background, proficiency in statistical analysis, machine learning, and data visualization tools (e.g., Python, R, SQL, Tableau). Experience in sports science, performance analysis, or sports management is highly desirable. Responsibilities include developing predictive models for game outcomes, identifying player performance trends, providing insights to coaches and management, and creating compelling reports and dashboards to communicate findings. You will collaborate remotely with coaches, scouts, and other stakeholders to provide actionable intelligence. This position requires excellent problem-solving skills, a keen understanding of sports dynamics, and the ability to work independently in a remote setting. A passion for sports combined with a rigorous analytical approach is essential. You will contribute to strategic decision-making that impacts team performance and organizational success. This is a unique opportunity to apply advanced analytical techniques to the world of sports, driving innovation and performance optimization from a remote capacity. We are seeking a data-driven individual who can translate complex data into clear, actionable insights. Our client offers a dynamic virtual environment and opportunities for professional growth, ensuring our remote team members are equipped to excel in a rapidly evolving field. Your expertise will be key in uncovering competitive advantages and shaping the future of sports analytics.
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8
Senior Sports Analytics Specialist
Posted 19 days ago
Job Viewed
Job Description
Our client, a groundbreaking organization at the intersection of sports and technology, is actively seeking a Senior Sports Analytics Specialist to join their fully remote, innovative team. This role is essential for driving data-driven decision-making across all aspects of athletic performance, strategy, and fan engagement. You will leverage advanced statistical techniques and machine learning to extract actionable insights from complex datasets, influencing training regimens, game strategies, and player development.
Responsibilities:
Responsibilities:
- Develop and implement sophisticated statistical models and algorithms to analyze athlete performance, injury risk, and tactical trends in various sports.
- Design and conduct experiments to test hypotheses related to training protocols, game strategies, and equipment effectiveness.
- Visualize complex data through dashboards and reports to communicate key findings and recommendations to coaches, athletes, and management in a clear and compelling manner.
- Collaborate closely with sports scientists, coaches, and performance staff to integrate analytical insights into daily operations and strategic planning.
- Identify key performance indicators (KPIs) and develop systems for real-time performance monitoring.
- Stay current with the latest research and advancements in sports analytics, data science, and machine learning.
- Manage and maintain large datasets, ensuring data integrity and accessibility for analytical purposes.
- Explore new data sources and methodologies to enhance the depth and breadth of sports analysis.
- Contribute to the development of predictive models for player performance, injury likelihood, and game outcomes.
- Mentor junior analysts and contribute to the overall knowledge base of the analytics team.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- A minimum of 5 years of experience in sports analytics or a closely related field, with a demonstrable passion for sports.
- Proven expertise in statistical modeling, machine learning techniques (regression, classification, clustering), and data mining.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Experience with SQL and database management.
- Strong understanding of biomechanics, exercise physiology, or sports performance principles is highly desirable.
- Excellent problem-solving skills and the ability to translate complex analytical findings into practical recommendations.
- Superior communication and presentation skills, with the ability to effectively articulate insights to both technical and non-technical audiences within a remote setting.
- Ability to work independently, manage multiple projects, and meet deadlines in a dynamic environment.
- This position is 100% remote, offering unparalleled flexibility. Our client is dedicated to building a world-class remote workforce and provides the tools and support necessary for success. Join us in shaping the future of sports through the power of data.
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