14 Sports Analytics Manager jobs in whatjobs
Job Description
Our client is seeking a passionate and analytical Sports Analytics Manager to join their team in a fully remote role. This position is ideal for an individual with a deep understanding of sports, combined with advanced analytical and data science skills. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights that enhance team performance, strategy, and fan engagement. Your work will directly influence coaching decisions, player development, and operational efficiency. Responsibilities include developing and implementing statistical models, creating data visualizations, and presenting findings to coaches, management, and other stakeholders. You will also be involved in identifying key performance indicators (KPIs) and tracking progress against strategic goals. The ideal candidate will possess a strong quantitative background, with expertise in statistical software (e.g., R, Python) and database management. Experience with sports-specific data sources and analytical platforms is highly advantageous. Excellent communication and storytelling skills are crucial for translating complex data into understandable and impactful recommendations. You should be a self-starter, capable of working independently and managing multiple projects in a fast-paced, remote environment. A passion for sports and a desire to contribute to winning strategies are essential. This is an exciting opportunity to leverage data to drive success in the competitive world of sports. Your contributions will be vital to informing strategic decisions for teams associated with Bungoma, Bungoma, KE , though the role is completely remote.
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Sports Analytics Manager
Posted 18 days ago
Job Viewed
Job Description
Our client, a leading entity in the Leisure & Sports sector, is looking for a highly analytical and strategic Sports Analytics Manager to join their innovative, fully remote team. In this role, you will be instrumental in transforming raw data into actionable insights that drive performance, strategy, and fan engagement across various sports. You will lead the development and implementation of data-driven initiatives, working closely with coaches, athletes, marketing teams, and management to enhance decision-making processes. The ideal candidate possesses a strong background in statistical analysis, data visualization, and a profound passion for sports.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models to assess player performance, team strategies, and game outcomes.
- Collect, clean, and manage large datasets from various sources, including player tracking, performance metrics, and fan engagement platforms.
- Translate complex data findings into clear, concise, and compelling insights for coaches, athletes, and executive leadership.
- Design and conduct predictive analyses to forecast trends, identify potential opportunities, and mitigate risks.
- Develop KPIs and dashboards to monitor key performance indicators and track the effectiveness of strategies.
- Collaborate with technology teams to implement and optimize data infrastructure and analytical tools.
- Stay abreast of emerging trends and best practices in sports analytics, data science, and machine learning.
- Present findings and recommendations through compelling visualizations and reports.
- Mentor and guide junior analysts in the development of analytical techniques and methodologies.
- Contribute to the strategic planning and decision-making processes of the organization through data-driven insights.
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar analytical role within the sports industry.
- Proficiency in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of database management and SQL.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
- Excellent communication, presentation, and interpersonal skills.
- Passion for sports and a deep understanding of sports performance dynamics.
- Experience with machine learning algorithms and predictive modeling is a plus.
- Ability to manage multiple projects simultaneously and meet deadlines.
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Job Description
Our client, a pioneering sports technology firm, is searching for an exceptional Sports Analytics Manager to join their fully remote team. This role will redefine how sports teams and organizations leverage data to enhance performance, strategy, and fan engagement. You will be responsible for developing sophisticated analytical models, interpreting complex datasets, and translating insights into actionable recommendations for coaches, athletes, and management. The ideal candidate possesses a deep understanding of sports, combined with advanced statistical and data science expertise. Proficiency in programming languages like Python or R, along with experience in machine learning, predictive modeling, and data visualization tools (e.g., Tableau, Power BI), is essential. You will manage a team of analysts, oversee data collection and integrity, and develop strategies for applying analytics across various sports disciplines. A Master's degree or PhD in Statistics, Data Science, Sports Science, or a related quantitative field is required, along with a minimum of 6 years of experience in sports analytics. Exceptional communication and presentation skills are critical for conveying complex analytical findings to diverse audiences. This remote position demands strong leadership, project management abilities, and the capacity to work autonomously. You will play a key role in driving innovation and achieving competitive advantages for our client’s partners through data-driven decision-making. Experience with performance tracking technologies and sports-specific metrics is highly desirable. The ability to foster a data-centric culture within sports organizations will be a significant asset. This role offers a unique opportunity to work at the cutting edge of sports technology and analytics from the comfort of your own home, contributing to the success of athletes and teams worldwide.
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Sports Analytics Manager
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and passionate Sports Analytics Manager to lead their data-driven initiatives within a fully remote framework. This role is instrumental in leveraging advanced analytics to enhance athletic performance, optimize team strategies, and provide critical insights for various sports disciplines. You will manage a team of analysts, develop sophisticated analytical models, and translate complex data into actionable recommendations for coaches, athletes, and management. As a remote professional, you will collaborate effectively with stakeholders globally, ensuring data-informed decision-making across the sports organization. The ideal candidate possesses a deep understanding of sports, strong statistical knowledge, and expertise in data visualization and machine learning.
Key Responsibilities:
Key Responsibilities:
- Develop and implement comprehensive sports analytics strategies.
- Manage and mentor a team of sports analysts, fostering a culture of data excellence.
- Design and build predictive models to forecast game outcomes, player performance, and injury risks.
- Analyze performance data from various sources (e.g., player tracking, video analysis, physiological data).
- Create compelling data visualizations and reports to communicate insights to coaches and management.
- Collaborate with coaching staff to integrate analytical findings into training and game strategies.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Conduct research on emerging analytical techniques and their application in sports.
- Ensure data integrity and the ethical use of analytical insights.
- Master's degree in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or data analysis, with at least 3 years in a management or leadership role.
- Proven experience in developing and deploying analytical models using statistical software (e.g., R, Python) and machine learning techniques.
- Strong understanding of sports performance metrics and biomechanics.
- Expertise in data visualization tools (e.g., Tableau, Power BI) and databases (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to non-technical audiences remotely.
- Demonstrated ability to lead and motivate a remote team.
- A passion for sports and a commitment to leveraging data for competitive advantage.
- Experience with player tracking systems and video analysis software is a plus.
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Sports Analytics Manager
Posted 16 days ago
Job Viewed
Job Description
Our client, a prominent organization in the sports industry, is seeking a dynamic and insightful Sports Analytics Manager. This role offers a hybrid work arrangement, combining the flexibility of remote work with essential in-office collaboration. You will be at the forefront of leveraging data to enhance athletic performance, strategic decision-making, and fan engagement. The ideal candidate will possess a strong background in statistical analysis, data science, and a deep passion for sports. Your responsibilities will include collecting, cleaning, and analyzing large datasets from various sports-related sources, such as performance metrics, player tracking data, and fan interaction data. You will develop predictive models, identify key performance indicators, and translate complex data findings into actionable insights for coaches, management, and marketing teams. Proficiency in data visualization tools and statistical software (e.g., R, Python, SQL) is essential. You will collaborate closely with coaching staff, athletes, and other stakeholders to understand their analytical needs and deliver tailored solutions. Experience in sports science, performance analysis, or a related field is highly advantageous. This role requires excellent communication skills, the ability to present data-driven recommendations persuasively, and a keen understanding of the nuances of various sports. You will contribute to scouting, game strategy, injury prevention, and commercial initiatives. The ability to work effectively in a hybrid environment, balancing independent research with team-based projects, is key. Join our client in revolutionizing sports performance through advanced analytics, contributing to the success of teams and athletes, and enhancing the experience for fans, with operations centered around **Nairobi, Nairobi, KE**. Your analytical prowess will shape the future of sports strategy.
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4
Job Description
Our client, a prominent organization within the global sports industry, is seeking a highly analytical and strategic Sports Analytics Manager to lead their fully remote data science team. This exciting role is pivotal in leveraging data to gain actionable insights that drive performance improvement, strategic decision-making, and fan engagement across various sporting disciplines. The successful candidate will be responsible for developing and implementing sophisticated analytical models, interpreting complex datasets, and communicating findings to key stakeholders, including coaching staff, management, and marketing teams. Your expertise will be crucial in areas such as player performance analysis, game strategy optimization, fan behavior prediction, and operational efficiency enhancement. You will lead a team of data analysts and scientists, fostering a collaborative and innovative environment focused on pushing the boundaries of sports analytics. Key responsibilities include identifying key performance indicators (KPIs), designing data collection strategies, and managing the end-to-end analytical process from data acquisition to insight delivery. Proficiency in statistical analysis, machine learning techniques, and data visualization tools (e.g., Python, R, SQL, Tableau) is essential. As a remote-first position, you will excel in virtual collaboration, utilizing cutting-edge tools to connect with team members and stakeholders worldwide. The ideal candidate will possess a strong understanding of sports dynamics and a proven track record of applying analytical methodologies to solve real-world sports challenges. Exceptional communication, presentation, and storytelling skills are vital for translating complex data into clear, impactful recommendations. If you are passionate about the intersection of sports and data and eager to make a significant impact from a remote setting, we encourage you to apply and help shape the future of sports intelligence.
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5
Sports Analytics Manager
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and passionate Sports Analytics Manager to lead their remote analytics team. This role is ideal for an individual with a deep understanding of sports, combined with advanced statistical modeling and data visualization skills. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights that enhance team performance, strategy, and fan engagement. This position requires the ability to develop and implement advanced analytical models, identify key performance indicators (KPIs), and communicate findings effectively to coaches, management, and other stakeholders. You will leverage data to identify trends, predict outcomes, and inform strategic decisions across various aspects of sports operations. Collaboration with different departments, including coaching staff, performance analysis, and marketing, is essential in this remote setting. The ideal candidate will have experience with various statistical software and programming languages (e.g., Python, R, SQL) and a proven track record of applying data science techniques to sports-related problems. This is a fully remote role, based within the **Nairobi, Nairobi, KE** region, offering flexibility and the opportunity to work with cutting-edge sports data. We are looking for a proactive, self-driven individual who is passionate about sports and possesses exceptional analytical and communication skills. Your insights will directly influence strategic decisions, driving success on and off the field. We are committed to fostering a high-performance remote work environment where data-driven excellence is paramount. Responsibilities will include designing and managing data collection processes, developing predictive models for player performance and game outcomes, and creating compelling data visualizations and reports to communicate insights clearly. You will also identify opportunities to leverage data for scouting, player development, and injury prevention. The role involves staying current with the latest advancements in sports analytics and related technologies, and potentially contributing to research publications or presentations. Collaboration with external data partners and technology providers may also be required. You will lead and mentor a team of analysts, ensuring the delivery of high-quality analytical products. We are seeking an individual with a strong understanding of various sports, exceptional analytical acumen, and the ability to translate complex data into understandable and actionable recommendations.
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Job Description
Our client is seeking a highly analytical and data-driven Sports Analytics Manager to join their dynamic and fully remote team. This role is responsible for leveraging advanced statistical techniques and data analysis to provide strategic insights that enhance team performance, game strategy, and player development across various sports. You will work with large datasets from game statistics, player tracking, and scouting reports to identify trends, evaluate player performance, and inform key decision-making processes. The ideal candidate will have a strong background in sports science, statistics, or a related quantitative field, coupled with extensive experience in data analysis and visualization tools. Key responsibilities include developing predictive models, conducting performance analysis, creating comprehensive reports and presentations for coaching staff and management, and staying abreast of the latest advancements in sports analytics methodologies. You must possess excellent communication skills to translate complex data into actionable insights and recommendations. This is a remote-first position, requiring a self-motivated individual with strong problem-solving abilities and the capacity to manage multiple projects effectively. We are looking for a passionate individual who can contribute to optimizing athletic performance and strategic planning through data-driven insights.
Responsibilities:
Responsibilities:
- Analyze sports performance data to identify trends and insights for team strategy and player development.
- Develop and implement statistical models to predict game outcomes and player performance.
- Create visualizations and reports to communicate findings effectively to coaches and management.
- Collaborate with coaching staff to translate data insights into actionable on-field strategies.
- Evaluate player performance metrics and provide recommendations for training and development.
- Stay current with advancements in sports analytics technologies and methodologies.
- Manage data collection processes and ensure data integrity.
- Contribute to scouting and recruitment efforts through data-driven evaluations.
- Present findings and recommendations to key stakeholders.
- Foster a data-driven culture within the sports organization.
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar data analysis role.
- Proficiency in statistical software and programming languages (e.g., R, Python, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports performance metrics and methodologies.
- 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 projects effectively in a remote setting.
- Passion for sports and data-driven decision-making.
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7
Job Description
Our client, a dynamic organization at the forefront of sports innovation, is seeking an experienced and highly analytical Sports Analytics Manager to lead their remote analytics division. This role is critical in harnessing the power of data to drive strategic decision-making, performance enhancement, and fan engagement across various sports. You will be responsible for developing and implementing sophisticated analytical frameworks, managing data collection processes, and translating complex datasets into actionable insights for coaches, management, and marketing teams. Key duties include performance analysis of athletes and teams, statistical modeling of game outcomes, predictive analytics, and evaluating the effectiveness of training programs and strategies. The ideal candidate will have a strong background in statistical analysis, data science, machine learning, and a deep passion for sports. You will work closely with stakeholders across different departments, utilizing virtual collaboration tools to share findings and recommendations. Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI) is essential. This position offers the flexibility of a remote work environment, allowing you to contribute significantly to the organization's success from anywhere. You will play a key role in shaping how data is used to gain competitive advantages in the sports world. Responsibilities:
- Develop and implement advanced analytical models for sports performance.
- Manage the collection, cleaning, and processing of diverse sports data.
- Analyze player and team statistics to identify trends and opportunities.
- Create predictive models for game outcomes, player performance, and fan behavior.
- Provide data-driven insights and recommendations to coaches, scouts, and management.
- Design and conduct A/B tests for new strategies and training methodologies.
- Develop interactive dashboards and reports for visualizing key performance indicators.
- Collaborate effectively with cross-functional teams in a remote setting.
- Stay abreast of the latest developments in sports analytics and data science.
- Communicate complex findings clearly and concisely to both technical and non-technical audiences.
- Master's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related data science role.
- Proven experience in statistical modeling, machine learning, and predictive analytics.
- Proficiency in programming languages such as R or Python for data analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports principles and performance metrics.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills, especially for remote delivery.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with large-scale sports datasets is highly desirable.
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8
Sports Analytics Manager
Posted 6 days ago
Job Viewed
Job Description
Our client, a leading professional sports franchise, is seeking a highly analytical and data-driven Sports Analytics Manager to join their fully remote performance and strategy team. This exciting role will be instrumental in leveraging advanced analytics to enhance player performance, inform strategic decision-making, and drive success on and off the field. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to player statistics, game performance, and other relevant metrics. This position requires a deep understanding of statistical modeling, data visualization, and a profound passion for sports.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, identify talent, and inform recruitment strategies.
- Analyze game data to provide actionable insights to coaches and management regarding strategy, tactics, and opponent analysis.
- Track and report on key performance indicators (KPIs) for individual players and the team as a whole.
- Collaborate with coaching staff to develop player development plans based on data-driven insights.
- Create compelling data visualizations and reports to communicate findings to various stakeholders, including executives, coaches, and players.
- Stay current with the latest trends and methodologies in sports analytics, data science, and related technologies.
- Manage and maintain databases of player and team performance data.
- Identify opportunities to leverage data analytics to improve fan engagement and business operations.
- Work closely with other members of the performance and strategy team to support broader organizational goals.
- Ensure data integrity and accuracy throughout the analysis process.
- Explore predictive modeling techniques for game outcomes and player career trajectories.
- Present findings and recommendations to senior leadership.
- Master's degree in Statistics, Data Science, Sports Management, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, with a proven track record of applying data science to sports performance or strategy.
- Strong understanding of statistical modeling, regression analysis, 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, SciPy).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Familiarity with various sports, their rules, and common performance metrics is essential.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to translate complex data into clear, understandable insights.
- Proven ability to work independently and manage projects effectively in a remote environment.
- Experience with sports-specific data platforms or software is a plus.
- A genuine passion for sports and a desire to contribute to a team's success through data.
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