7 Sports Analytics Manager Remote jobs in whatjobs
Sports Analytics Manager, Remote
Posted 21 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization within the leisure and sports industry, is seeking an experienced Sports Analytics Manager to lead their remote analytics division. This is a pivotal, fully remote, full-time role focused on leveraging data to drive strategic decisions, enhance performance, and deepen fan engagement. The ideal candidate will possess a strong background in sports analytics, statistical modeling, data visualization, and a passion for sports. You will be responsible for developing and implementing advanced analytical frameworks to extract actionable insights from various data sources, including performance metrics, fan behavior, and market trends. Key responsibilities include designing experiments, building predictive models, analyzing team and player performance, and creating insightful reports and dashboards for coaches, management, and marketing teams. The ability to communicate complex data findings clearly and persuasively to diverse stakeholders is paramount. This remote role requires exceptional analytical, technical, and leadership skills. You must be adept at managing remote data science and analytics teams, fostering collaboration, and ensuring the strategic application of insights across the organization. We are looking for a highly analytical and proactive individual with a proven track record of using data to influence decision-making in a sports context. Your expertise will be crucial in optimizing team strategies, player development, and fan experience initiatives. The successful candidate will thrive in a dynamic, data-driven environment and demonstrate a commitment to innovation and excellence in sports analytics. We offer a competitive compensation package and the chance to make a significant impact on the future of sports performance and engagement.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced sports analytics strategies.
- Design, build, and maintain statistical models to analyze team and player performance.
- Extract and interpret data from various sources, including performance tracking systems, fan engagement platforms, and market data.
- Develop compelling data visualizations and reports to communicate key insights to stakeholders.
- Collaborate with coaches, management, and marketing teams to translate data insights into actionable strategies.
- Identify trends and opportunities for performance improvement and fan engagement.
- Manage and mentor a remote team of data analysts and scientists.
- Stay abreast of the latest advancements in sports analytics, statistical techniques, and relevant technologies.
- Ensure data integrity and accuracy across all analytical initiatives.
- Present findings and recommendations to senior leadership.
- Master's degree in Statistics, Data Science, Sports Analytics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a closely related field.
- Proven experience in statistical modeling, machine learning, and data visualization.
- Proficiency in programming languages such as Python or R, and database querying languages like SQL.
- Experience with sports-specific data platforms and analytical tools is highly desirable.
- Strong understanding of sports performance metrics and methodologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Proven leadership experience, with the ability to manage and inspire a remote team.
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0
Sports Analytics Manager (Remote)
Posted 21 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization in the Leisure & Sports sector, is seeking an experienced and analytical Sports Analytics Manager to join their team on a fully remote basis. This crucial role involves leveraging data to drive strategic decision-making, enhance performance, and improve fan engagement within the sports domain. You will be responsible for collecting, analyzing, and interpreting complex datasets related to athlete performance, team strategies, fan behavior, and market trends. The ideal candidate will possess a strong quantitative background, exceptional statistical modeling skills, and a passion for sports. You will translate data-driven insights into actionable recommendations for coaches, management, and marketing teams.
Key Responsibilities:
The ideal candidate will hold a Master's degree in Statistics, Data Science, Sports Analytics, or a related quantitative field, coupled with at least 5 years of hands-on experience in sports analytics or a similar data-intensive field. Proven expertise in statistical modeling, machine learning, and data visualization techniques is essential. Experience with sports-specific data and performance metrics is highly desirable. This is a fully remote position, requiring strong self-management, communication, and collaboration skills. You must be proficient in data analysis tools and programming languages. This is a unique opportunity to make a significant impact on sports performance and strategy. The role is based in Eldoret, Uasin Gishu, KE but operates on a fully remote basis.
Key Responsibilities:
- Develop and implement advanced analytical models to assess player performance, team strategies, and competitive dynamics.
- Collect, clean, and manage large datasets from various sources, including performance tracking systems, game statistics, and fan engagement platforms.
- Utilize statistical software and programming languages (e.g., Python, R, SQL) to conduct in-depth data analysis and generate actionable insights.
- Create compelling data visualizations and reports to communicate complex findings to non-technical stakeholders, including coaches, executives, and marketing teams.
- Identify key performance indicators (KPIs) and develop dashboards to monitor progress towards strategic goals.
- Collaborate with coaching staff and sports science teams to provide data-driven insights that optimize training regimens and game strategies.
- Analyze fan behavior, preferences, and engagement metrics to inform marketing and fan experience initiatives.
- Stay abreast of the latest trends and technologies in sports analytics, machine learning, and data science.
- Contribute to the development of predictive models for player recruitment, injury prevention, and strategic forecasting.
- Mentor junior analysts and promote a data-driven culture throughout the organization.
The ideal candidate will hold a Master's degree in Statistics, Data Science, Sports Analytics, or a related quantitative field, coupled with at least 5 years of hands-on experience in sports analytics or a similar data-intensive field. Proven expertise in statistical modeling, machine learning, and data visualization techniques is essential. Experience with sports-specific data and performance metrics is highly desirable. This is a fully remote position, requiring strong self-management, communication, and collaboration skills. You must be proficient in data analysis tools and programming languages. This is a unique opportunity to make a significant impact on sports performance and strategy. The role is based in Eldoret, Uasin Gishu, KE but operates on a fully remote basis.
This advertiser has chosen not to accept applicants from your region.
1
Sports Analytics Manager - Remote
Posted 12 days ago
Job Viewed
Job Description
Our client, a cutting-edge organization in the leisure and sports sector, is seeking a highly skilled Sports Analytics Manager to join their fully remote team. This role is ideal for a data-driven professional passionate about sports and performance optimization. You will be responsible for leveraging advanced analytics to provide actionable insights that drive strategic decision-making across various sports disciplines. This is a remote position, allowing you to contribute from anywhere within Kenya. You will work closely with coaches, athletes, and management to interpret complex data, identify performance trends, and develop data-driven strategies to enhance athletic performance and fan engagement. Your expertise will be crucial in developing and implementing analytical models, dashboards, and reports. The ideal candidate will possess a strong quantitative background, excellent communication skills, and a deep understanding of sports dynamics. Experience with sports-specific data sources and analytical tools is highly desirable. This role requires a proactive individual who can translate complex data into clear, concise recommendations. You will be at the forefront of using technology to revolutionize sports performance. This position is based in Nyeri, Nyeri, KE , but is a 100% remote opportunity.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced analytical models to assess player performance, team strategies, and competition dynamics.
- Collect, clean, and analyze large datasets from various sports sources (e.g., performance tracking, match data).
- Create compelling visualizations and dashboards to communicate insights to coaches, athletes, and management.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Collaborate with stakeholders to understand their data needs and deliver tailored analytical solutions.
- Research and recommend new analytical tools and technologies to enhance capabilities.
- Provide data-driven recommendations to improve athlete training, injury prevention, and game strategies.
- Monitor industry trends in sports analytics and incorporate best practices.
- Present findings and insights to diverse audiences, including non-technical stakeholders.
- Contribute to the overall strategic planning and development of sports programs.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a closely related field.
- Proven experience with statistical analysis, machine learning, and data mining techniques.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).
- Strong understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation abilities, with the capacity to explain complex data to diverse audiences.
- Experience working in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
2
Sports Analytics Manager (Remote)
Posted 12 days ago
Job Viewed
Job Description
Our client, a dynamic organization at the forefront of sports innovation, is looking for a talented Sports Analytics Manager to lead their data-driven insights team in a fully remote capacity. This role is perfect for a passionate individual who can blend a deep understanding of sports with advanced analytical techniques to unlock performance improvements and strategic advantages. You will be responsible for overseeing the collection, processing, and analysis of vast datasets from various sporting events and athlete performances. Utilizing cutting-edge statistical modeling and machine learning algorithms, you will translate raw data into actionable intelligence for coaches, athletes, and management.
Key responsibilities include developing and implementing analytical frameworks, identifying key performance indicators (KPIs), and generating insightful reports and visualizations to communicate complex findings effectively. You will also manage a team of data analysts, providing mentorship and guidance to ensure high-quality output. Collaboration with coaching staff and performance teams across different geographic locations will be essential, requiring strong virtual communication and project management skills. The ideal candidate will have a strong background in sports science, statistics, or data science, with a proven ability to apply analytical methods to solve real-world sports problems. Proficiency in data analysis tools such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI) is required. A Bachelor's or Master's degree in a quantitative field and a minimum of 5 years of experience in sports analytics are necessary. A genuine passion for sports and a commitment to driving performance through data are essential. This remote role offers an exciting opportunity to shape the future of sports performance from anywhere in the world.
Key responsibilities include developing and implementing analytical frameworks, identifying key performance indicators (KPIs), and generating insightful reports and visualizations to communicate complex findings effectively. You will also manage a team of data analysts, providing mentorship and guidance to ensure high-quality output. Collaboration with coaching staff and performance teams across different geographic locations will be essential, requiring strong virtual communication and project management skills. The ideal candidate will have a strong background in sports science, statistics, or data science, with a proven ability to apply analytical methods to solve real-world sports problems. Proficiency in data analysis tools such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI) is required. A Bachelor's or Master's degree in a quantitative field and a minimum of 5 years of experience in sports analytics are necessary. A genuine passion for sports and a commitment to driving performance through data are essential. This remote role offers an exciting opportunity to shape the future of sports performance from anywhere in the world.
This advertiser has chosen not to accept applicants from your region.
3
Sports Analytics Manager (Remote)
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly analytical and results-oriented Sports Analytics Manager to join their dynamic, fully remote team. This role is pivotal in leveraging data to enhance performance, strategy, and engagement within the sports domain. You will be responsible for collecting, processing, and analyzing large datasets related to athletic performance, game statistics, fan engagement, and operational efficiency. The Sports Analytics Manager will develop and implement advanced analytical models, predictive algorithms, and data visualization tools to extract actionable insights. These insights will be crucial for informing strategic decisions for coaches, management, and marketing teams. Key responsibilities include identifying key performance indicators (KPIs), designing A/B tests, interpreting complex statistical findings, and presenting findings clearly and concisely to stakeholders with varying levels of technical understanding. You will also stay abreast of the latest trends in sports analytics, data science, and relevant technologies to continuously improve analytical capabilities. The ideal candidate will have a strong background in statistics, data science, or a related quantitative field, coupled with demonstrable experience in sports analytics. Proficiency in data analysis tools such as Python (with libraries like Pandas, NumPy, SciPy), R, SQL, and visualization tools (e.g., Tableau, Power BI) is essential. Excellent communication and presentation skills are required to effectively convey complex data insights. This is a unique opportunity to make a significant impact on sports performance and strategy from a remote location, working with cutting-edge data and technology. You will contribute to data-driven decision-making and shape the future of how sports are analyzed and optimized. If you are passionate about sports and possess a strong analytical acumen, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
4
Sports Analytics Manager - Remote
Posted today
Job Viewed
Job Description
Our client, a leading organization in the sports industry, is seeking a highly analytical and strategic Sports Analytics Manager to join their innovative team. This is a fully remote position, allowing you to leverage data to drive performance from anywhere. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights that enhance athletic performance, game strategy, and fan engagement. Your role will involve developing predictive models, performance metrics, and reporting dashboards for coaches, athletes, and management. Expertise in statistical analysis, data visualization, and sports science principles is crucial. You will work with a variety of data sources, including player tracking data, performance statistics, and game footage. Collaboration with coaching staff, sports scientists, and other stakeholders will be key to translating data insights into practical applications. The ideal candidate possesses exceptional analytical and problem-solving skills, a deep passion for sports, and a proven ability to communicate complex findings effectively to diverse audiences in a remote setting. Experience with data analytics tools such as Python, R, SQL, and visualization software (e.g., Tableau, Power BI) is essential. This is an exciting opportunity to influence decision-making at the highest levels of sport through data-driven insights.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and analyze large datasets related to athletic performance and game data.
- Develop and implement statistical models to identify trends and predict outcomes.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Provide data-driven insights and recommendations to coaching staff and athletes.
- Collaborate with sports scientists to assess player health and performance metrics.
- Develop and maintain performance dashboards and tracking systems.
- Stay current with advancements in sports analytics and data science methodologies.
- Identify opportunities to improve data collection and analysis processes.
- Contribute to strategic decision-making through data interpretation.
- Mentor junior analysts and foster a data-driven culture.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- 5+ years of experience in sports analytics or a related data analysis role.
- Proficiency in programming languages like Python or R for data analysis.
- Experience with SQL for database management and querying.
- Strong understanding of statistical modeling and machine learning techniques.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Deep knowledge of sports, rules, and performance metrics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and effectively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
5
Job Description
Our client, a forward-thinking organization in the leisure and sports sector, is seeking a highly analytical and data-driven Sports Analytics Manager to join their fully remote team. This role is pivotal in leveraging data to enhance player performance, optimize game strategies, and improve fan engagement. You will be responsible for collecting, analyzing, and interpreting vast amounts of sports-related data from various sources, including performance metrics, game statistics, and physiological data.
The ideal candidate will possess a strong background in statistical modeling, data visualization, and a passion for sports. You will collaborate with coaches, athletes, performance staff, and marketing teams to translate data insights into actionable recommendations. This position requires a deep understanding of various sports, excellent communication skills, and the ability to present complex findings in a clear and concise manner. This is a unique opportunity for a data expert to make a significant impact on athletic performance and business strategy in a fully remote setting.
Key Responsibilities:
The ideal candidate will possess a strong background in statistical modeling, data visualization, and a passion for sports. You will collaborate with coaches, athletes, performance staff, and marketing teams to translate data insights into actionable recommendations. This position requires a deep understanding of various sports, excellent communication skills, and the ability to present complex findings in a clear and concise manner. This is a unique opportunity for a data expert to make a significant impact on athletic performance and business strategy in a fully remote setting.
Key Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, predict outcomes, and inform strategic decisions.
- Collect, clean, and manage large datasets from various sports-related sources.
- Utilize data visualization tools to create compelling dashboards and reports for coaches, athletes, and management.
- Identify key performance indicators (KPIs) and metrics relevant to athletic success and business objectives.
- Collaborate with performance staff to design and analyze training programs.
- Provide data-driven insights to support game strategy and scouting efforts.
- Analyze fan engagement data and contribute to marketing and outreach strategies.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Communicate complex analytical findings to both technical and non-technical audiences.
- Ensure data integrity and ethical data handling practices.
- Explore new data sources and analytical techniques to drive innovation.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 4-6 years of experience in data analysis, with a focus on sports analytics or performance analysis.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, SciPy) or R.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Knowledge of various sports and their associated performance metrics is essential.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey insights effectively.
- Ability to work independently and collaboratively in a remote environment.
- Experience with database querying (e.g., SQL) is a plus.
This advertiser has chosen not to accept applicants from your region.
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