20 Senior Sports Analytics Manager Remote jobs in whatjobs
Senior Sports Analytics Manager, Remote
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Manager to lead insights generation for their sports division. This is a fully remote position, allowing you to leverage your expertise to enhance performance and strategy from your home office. The ideal candidate will have a strong background in sports analytics, data science, statistical modeling, and performance analysis. Your responsibilities will include collecting, cleaning, and analyzing complex datasets related to player performance, team dynamics, and strategic outcomes. You will develop predictive models, identify key performance indicators (KPIs), and translate data findings into actionable insights for coaches, athletes, and management. A deep understanding of various sports and their specific metrics is essential. Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) and experience with data visualization tools (e.g., Tableau, Power BI) are required. You will be responsible for managing analytics projects, mentoring junior analysts, and collaborating with stakeholders to ensure data-informed decision-making. Experience in performance enhancement, scouting analytics, or fan engagement strategies is highly desirable. The role requires exceptional communication skills to present complex findings clearly and concisely to both technical and non-technical audiences. We are looking for a proactive individual with a passion for sports and a commitment to leveraging data to drive competitive advantage. This is an outstanding opportunity to make a significant impact on sports performance and strategy in a flexible, remote-first environment. If you are a seasoned analytics professional with a love for sports, we encourage you to apply.
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Senior Sports Analytics Manager - Remote
Posted 21 days ago
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Job Description
Our client is a dynamic organization at the intersection of sports and technology, focused on leveraging data to enhance athletic performance, fan engagement, and strategic decision-making. We are seeking an experienced and innovative Senior Sports Analytics Manager to lead our data analysis efforts. This fully remote role requires a deep understanding of sports, advanced analytical techniques, and the ability to translate complex data into actionable insights. You will be responsible for developing and implementing data-driven strategies, managing a team of analysts, and collaborating with coaches, athletes, and front-office staff to drive performance improvements. The ideal candidate possesses a strong background in statistics, data science, and a passion for sports. Your expertise will be critical in areas such as player performance tracking, opponent scouting, game strategy optimization, and fan engagement analytics. This remote position demands excellent communication skills, the ability to present findings clearly and compellingly, and a proven track record of managing projects and teams effectively in a virtual environment. You will be instrumental in shaping how data is used to achieve competitive advantages in the sports world.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced sports analytics strategies.
- Manage and mentor a team of sports analysts, providing technical guidance and project oversight.
- Design and conduct in-depth statistical analyses of player performance, team dynamics, and game outcomes.
- Develop predictive models for player performance, injury risk, and strategic decision-making.
- Collaborate closely with coaches, athletes, and technical staff to interpret data and implement insights.
- Create compelling visualizations and reports to communicate complex analytical findings to diverse stakeholders.
- Identify new opportunities for data collection and analysis to enhance athletic performance and fan engagement.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Manage relationships with data providers and technology vendors.
- Ensure data integrity, accuracy, and security throughout all analytical processes.
- Contribute to the strategic direction of the organization by providing data-informed recommendations.
- Develop and maintain databases and analytical tools.
- Present findings and recommendations to executive leadership and key decision-makers.
- Master's or PhD in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics, data science, or a related analytical role, with at least 3 years in a leadership or management capacity.
- Strong proficiency in statistical software and programming languages such as R, Python, SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports-specific data and analytical methodologies.
- Proven ability to develop and apply advanced statistical and machine learning techniques.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
- Demonstrated experience in leading and managing a remote analytical team.
- Strong problem-solving abilities and a proactive, results-oriented mindset.
- Passion for sports and a keen understanding of athletic performance.
- Experience with sports performance tracking technologies and platforms is a significant advantage.
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Senior Sports Analytics Manager - Remote
Posted 21 days ago
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Job Description
Our client, a prominent global sports organization, is seeking an experienced Senior Sports Analytics Manager to lead their data-driven insights initiatives. This is a fully remote position, offering the chance to influence strategies across athletic performance, fan engagement, and operational efficiency. You will be responsible for developing and implementing advanced analytical frameworks, leveraging diverse datasets from player performance metrics, fan behavior, social media, and operational systems. The ideal candidate will possess a strong background in sports analytics, statistical modeling, and a passion for translating complex data into actionable strategies. You will lead a team of analysts, guiding them in the use of cutting-edge tools and methodologies to unlock insights that provide a competitive edge. This role requires exceptional leadership, strategic thinking, and the ability to communicate complex findings to stakeholders at all levels, from coaches and athletes to executive leadership. Responsibilities include:
- Developing and implementing advanced analytical strategies to enhance athletic performance, optimize training, and improve game strategies.
- Analyzing player performance data, scouting reports, and biomechanical data to identify trends and provide actionable insights.
- Leading projects related to fan engagement, including analyzing social media trends, audience segmentation, and campaign effectiveness.
- Developing predictive models for player development, injury prevention, and game outcomes.
- Collaborating with coaching staff, performance teams, and management to integrate data insights into decision-making processes.
- Overseeing the collection, cleaning, and management of large datasets from various sports-related sources.
- Managing and mentoring a team of sports analysts, fostering a culture of innovation and continuous learning.
- Presenting complex analytical findings and strategic recommendations to executive leadership and other key stakeholders.
- Staying abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Evaluating and implementing new analytical tools and platforms to enhance the organization's capabilities.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, with a significant portion in a leadership or management role.
- Proven expertise in statistical modeling, machine learning, and data visualization techniques.
- Experience with programming languages such as Python or R, and proficiency in SQL.
- Strong understanding of sports performance metrics, biomechanics, and related data sources.
- Excellent leadership, communication, and interpersonal skills, with the ability to influence stakeholders.
- Demonstrated ability to manage complex projects and lead a team in a remote setting.
- Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- Passion for sports and a deep understanding of the sports industry.
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Senior Sports Analytics Manager (Remote)
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and strategic Senior Sports Analytics Manager to lead our data-driven initiatives in the leisure and sports sector. This is a fully remote position, offering a unique opportunity to leverage your expertise in sports analytics from anywhere. You will be responsible for developing and implementing advanced analytical models to enhance performance, strategy, and fan engagement. The ideal candidate possesses a strong background in statistical analysis, data mining, machine learning, and a deep passion for sports. You will work closely with coaching staff, management, and performance analysts to translate complex data into actionable insights that drive competitive advantage. This role requires exceptional skills in data visualization, predictive modeling, and the ability to communicate technical findings clearly to both technical and non-technical audiences. You will be expected to manage data collection, processing, and interpretation across various sports datasets. Experience with sports-specific metrics, player performance tracking, and fan behavior analysis is highly valued. This is a remote-first role, emphasizing collaboration and effective communication within a distributed team. If you are a forward-thinking analytics professional with a proven track record in sports and are looking for a challenging remote opportunity to make a significant impact, we encourage you to apply. Your ability to extract meaningful insights from data will be crucial to our success.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models for sports performance and strategy.
- Analyze player and team data to identify trends, strengths, and weaknesses.
- Build predictive models for game outcomes, player development, and fan engagement.
- Design and manage data collection and processing systems.
- Create compelling data visualizations and reports for stakeholders.
- Collaborate with coaching staff and management to provide actionable insights.
- Stay abreast of the latest trends and technologies in sports analytics.
- Mentor junior analysts and contribute to the development of the analytics team.
- Evaluate and recommend new data sources and analytical tools.
- Ensure data integrity and accuracy throughout all analytical processes.
- 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 related analytical role.
- Proficiency in statistical programming languages such as R, Python, or SQL.
- Experience with machine learning techniques and predictive modeling.
- Strong understanding of sports-specific metrics and performance indicators.
- Excellent data visualization and communication skills.
- Ability to work independently and as part of a remote team.
- Strong problem-solving and critical thinking abilities.
- Passion for sports and a desire to contribute to athletic success.
- Experience with sports analytics software and platforms is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Analytics Manager (Remote)
Posted 21 days ago
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Job Description
Our client is seeking a highly experienced and data-driven Senior Sports Analytics Manager to lead their remote analytics team. This role is pivotal in shaping strategic decisions across various sports verticals by leveraging advanced data analysis techniques. The successful candidate will be responsible for developing and implementing comprehensive data strategies, overseeing the collection and interpretation of complex datasets, and translating these insights into actionable recommendations for performance improvement, fan engagement, and operational efficiency. You will manage a team of analysts, providing mentorship, guidance, and performance reviews. Key responsibilities include designing and executing A/B tests, building predictive models for player performance and fan behavior, and creating compelling data visualizations and reports for stakeholders. Strong communication skills are essential to effectively present findings to diverse audiences, including non-technical executives. This is a fully remote position, requiring a self-motivated individual with excellent time management skills and the ability to collaborate effectively in a virtual environment. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and a strong understanding of sports-specific metrics and methodologies are crucial. We are looking for a strategic thinker with a proven track record of driving measurable results through data analytics within the sports industry. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and data visualization tools such as Tableau or Power BI. A Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline is required. A minimum of 7 years of experience in data analytics, with at least 3 years in a leadership role within the sports sector, is preferred. This role offers the opportunity to make a significant impact on a global scale, working from the comfort of your own home. Our client is committed to fostering a diverse and inclusive remote workforce, and we encourage applications from all qualified individuals. The role requires proficiency in programming languages like Python or R for data manipulation and analysis. Experience with sports analytics software and databases is a plus. The ability to adapt to rapidly evolving data landscapes and to innovate new analytical approaches will be highly valued. Join us in redefining sports analytics from **Garissa, Garissa, KE** and beyond.
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Senior Sports Analytics Manager (Remote)
Posted 19 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Sports Analytics Manager to lead their data-driven performance initiatives. This is a premier, fully remote position where you will be instrumental in leveraging data to enhance athletic performance, optimize team strategies, and gain a competitive edge. You will be responsible for developing and implementing advanced analytical models, interpreting complex datasets, and translating findings into actionable insights for coaches, athletes, and management. The ideal candidate will possess a strong quantitative background, expertise in sports performance metrics, and proficiency in statistical software and data visualization tools. Your responsibilities will include collecting, cleaning, and analyzing vast amounts of sports-related data, identifying trends and patterns, and presenting findings through compelling reports and presentations. You will work closely with coaching staff to understand their needs and provide data-supported recommendations for training, game planning, and player development. Key duties involve designing and managing data collection systems, building predictive models for player performance and injury risk, and staying abreast of the latest advancements in sports science and analytics. This role requires exceptional problem-solving skills, a passion for sports, and the ability to communicate complex technical information to non-technical stakeholders. We are looking for a leader who can foster a culture of data-informed decision-making within the organization. The ability to work independently, manage multiple projects simultaneously, and deliver high-impact results in a remote setting is crucial. Your insights will directly influence team success and strategic planning. This is an exciting opportunity to shape the future of sports performance through cutting-edge analytics from your home office. You will be at the forefront of using data to redefine athletic excellence and strategic gameplay, contributing significantly to competitive outcomes. The conceptual focus for this role is associated with Ongata Rongai, Kajiado, KE , but the position is entirely remote, welcoming talent from anywhere.
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5
Senior Sports Analytics Manager (Remote)
Posted 21 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior Sports Analytics Manager to join their dynamic team. This is a fully remote, senior-level position offering the opportunity to shape data-driven strategies within the sports industry. You will be responsible for overseeing all aspects of sports analytics, from data collection and processing to developing predictive models and performance insights. The ideal candidate will have a deep understanding of sports, exceptional analytical skills, and a proven ability to translate complex data into actionable recommendations for coaches, athletes, and management. Your role will involve leading a team of analysts, fostering a culture of continuous improvement, and ensuring the integrity and accuracy of all analytical outputs. You will collaborate closely with various departments to identify key performance indicators, design experiments, and evaluate the effectiveness of different strategies and training methodologies. This includes working with stakeholders to define reporting requirements and deliver comprehensive insights through compelling visualizations and presentations.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports analysts, providing guidance and fostering professional development.
- Develop and implement advanced analytical frameworks and models to assess player performance, team strategy, and injury prevention.
- Oversee the collection, cleaning, and validation of large datasets from various sources, including performance tracking devices, game statistics, and scouting reports.
- Communicate complex analytical findings and recommendations clearly and concisely to non-technical stakeholders, including executive leadership and coaching staff.
- Design and execute A/B tests and other experimental designs to evaluate the impact of various interventions.
- Stay abreast of the latest trends and technologies in sports analytics, machine learning, and data science.
- Ensure data privacy and security protocols are strictly adhered to.
- Manage relationships with external data providers and technology vendors.
- Contribute to the strategic planning of the organization by providing data-informed insights.
- Master's degree or PhD in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a related field, with at least 3 years in a leadership or management role.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization libraries.
- Strong understanding of statistical modeling, machine learning algorithms, and their application to sports data.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to a diverse audience.
- Demonstrated ability to work independently and as part of a remote team.
- Experience with SQL and relational databases.
- Passion for sports and a solid understanding of various sports disciplines is highly desirable.
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6
Senior Sports Analytics Manager (Remote)
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and passionate Senior Sports Analytics Manager to lead their data-driven initiatives. This is a fully remote position, offering the opportunity to leverage your expertise in sports performance analysis from anywhere. You will be responsible for collecting, analyzing, and interpreting vast amounts of sports data to provide actionable insights that enhance team performance, strategy, and player development. The ideal candidate will have a deep understanding of various sports, statistical modeling, and data visualization techniques. Your responsibilities will include developing advanced analytical models, forecasting player performance, identifying trends, and communicating complex findings to coaches, management, and athletes in a clear and concise manner. Proficiency in statistical software (e.g., R, Python, SPSS) and database management is essential. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. A Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field is required, along with a minimum of 7 years of experience in sports analytics. Proven experience in leading analytical projects and mentoring junior analysts is a significant advantage. This role demands exceptional problem-solving skills, critical thinking, and the ability to work independently in a remote setting. You will be instrumental in shaping our client's strategic decisions through sophisticated data analysis. The capacity to translate raw data into meaningful narratives and recommendations is paramount. This is a fully remote role, offering flexibility and the chance to work with cutting-edge technology and passionate sports professionals. Join an organization committed to pushing the boundaries of sports performance through advanced analytics.
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7
Senior Sports Analytics Manager (Remote)
Posted 12 days ago
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Job Description
Our client, a leading organization in sports performance and strategy, is seeking an experienced Senior Sports Analytics Manager to lead their fully remote analytics team. This is an exciting opportunity to leverage data to drive strategic decisions in sports. You will be responsible for overseeing the collection, analysis, and interpretation of sports-related data to enhance player performance, game strategy, and overall team success. The ideal candidate will have a strong background in sports analytics, advanced statistical modeling skills, and the ability to manage and mentor a remote team effectively.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced statistical models for sports performance analysis.
- Analyze game data, player statistics, and other relevant metrics to provide actionable insights.
- Collaborate with coaches, athletes, and management to understand their data needs and translate them into analytical projects.
- Develop and maintain data visualization dashboards to present complex information in an easily digestible format.
- Identify key performance indicators (KPIs) for players and teams.
- Conduct research into new analytical techniques and technologies applicable to sports.
- Mentor and guide junior analysts, fostering a collaborative and high-performing remote team environment.
- Ensure data integrity and accuracy throughout the analysis process.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay current with trends and innovations in sports analytics and performance science.
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a related field.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with SQL.
- Strong understanding of sports dynamics, performance metrics, and relevant data sources.
- Excellent data visualization skills using tools like Tableau, Power BI, or similar.
- Strong leadership, communication, and interpersonal skills.
- Ability to manage projects and a remote team effectively.
- Experience in a professional sports environment is highly desirable.
- Passion for sports and data-driven decision-making.
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8
Senior Sports Analytics Manager (Remote)
Posted 11 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Manager to lead their insights division, operating in a fully remote capacity. This role is crucial for optimizing athletic performance, strategy, and fan engagement through the rigorous application of data science. The ideal candidate will possess a profound understanding of sports, advanced analytical techniques, and a proven ability to translate complex data into actionable insights. You will be responsible for developing and implementing sophisticated analytical models, mentoring a team of analysts, and driving data-informed decision-making across the organization.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of advanced analytical models and frameworks to evaluate player performance, team strategy, and game outcomes.
- Analyze large datasets from various sources (e.g., player tracking data, game statistics, scouting reports) to identify trends, patterns, and key performance indicators.
- Translate complex analytical findings into clear, concise, and actionable recommendations for coaching staff, management, and athletes.
- Develop predictive models for performance forecasting, injury risk assessment, and strategic planning.
- Oversee the creation of dashboards and visualizations to communicate insights effectively to diverse stakeholders.
- Mentor and guide a team of sports analysts, fostering a data-driven culture and promoting professional development.
- Collaborate with coaching staff and sports scientists to integrate analytical insights into training programs and game strategies.
- Stay abreast of the latest advancements in sports analytics, data science methodologies, and relevant technologies.
- Ensure the integrity, accuracy, and security of all data sources and analytical processes.
- Contribute to strategic initiatives aimed at enhancing fan engagement and commercial opportunities through data-driven insights.
- Manage analytical projects from inception to completion, ensuring timely delivery of results.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 7 years of progressive experience in sports analytics, with a strong focus on performance analysis and strategic insights.
- Proven experience in developing and applying advanced statistical and machine learning techniques to sports data.
- Expertise in data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python, SPSS).
- Deep understanding of various sports, including their rules, strategies, and performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey technical information to non-technical audiences in a remote setting.
- Demonstrated leadership abilities and experience managing analytical teams.
- Strong understanding of data management principles and database querying (SQL).
- Ability to work independently and manage multiple projects simultaneously.
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