51 Senior Sports Analytics Manager jobs in whatjobs
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and strategic Senior Sports Analytics Manager to join their dynamic team in **Kericho, Kericho, KE**. This role will be pivotal in leveraging data to enhance athletic performance, optimize training strategies, and drive competitive advantage for our sports organizations. The ideal candidate will possess a deep understanding of sports science, advanced statistical modeling techniques, and the ability to translate complex data into actionable insights for coaches, athletes, and management.
Responsibilities:
Responsibilities:
- Develop and implement comprehensive data analytics strategies to support athletic performance and operational efficiency.
- Collect, clean, and analyze large datasets from various sources including performance metrics, injury data, scouting reports, and fan engagement.
- Create predictive models to forecast player performance, identify talent, and assess risk factors.
- Design and conduct A/B testing on training methodologies and tactical approaches.
- Collaborate closely with coaching staff, sports scientists, and medical teams to provide data-driven recommendations.
- Present findings and insights through clear, concise reports and engaging visualizations to stakeholders at all levels.
- Stay abreast of the latest advancements in sports analytics, data science, and related technologies.
- Manage and mentor a team of junior analysts, fostering a culture of data-driven decision-making.
- Ensure data integrity, security, and compliance with relevant privacy regulations.
- Develop and maintain dashboards for real-time performance monitoring and strategic planning.
- Contribute to the overall strategic direction of the sports division through insightful data analysis.
- Work closely with technology partners to integrate new data sources and analytical tools.
- Communicate complex analytical concepts to non-technical audiences effectively.
- Master's degree or PhD in Sports Science, Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5-7 years of experience in sports analytics, with a proven track record of delivering impactful insights.
- Strong proficiency in statistical software packages (e.g., R, Python, SPSS) and database management (SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Expertise in machine learning algorithms and predictive modeling.
- In-depth knowledge of various sports (e.g., football, rugby, athletics) and their performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to manage multiple projects simultaneously and meet tight deadlines.
- Experience in leading and mentoring teams is highly desirable.
- Familiarity with sports performance tracking technologies.
This advertiser has chosen not to accept applicants from your region.
0
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a strategic and data-driven Senior Sports Analytics Manager to lead our remote analytics team. This position focuses on leveraging data to enhance performance, strategy, and fan engagement across various sports disciplines. You will be responsible for developing and implementing advanced analytical models, overseeing data collection and preprocessing, and translating complex data insights into actionable recommendations for coaches, management, and marketing teams. Key responsibilities include leading statistical analysis of game data, player performance metrics, and market trends; identifying key performance indicators (KPIs); and creating compelling data visualizations and reports. You will also manage a team of sports analysts, ensuring the quality and accuracy of all analytical outputs and fostering a data-informed culture. The ideal candidate will have a Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field, with at least 6 years of experience in sports analytics, data analysis, or a similar role. Proven experience in statistical modeling, predictive analytics, and data visualization tools (e.g., Tableau, Power BI) is essential. Strong programming skills in languages like Python or R, and experience with SQL databases are required. A deep understanding of various sports and their performance metrics is highly desirable. Excellent communication and presentation skills are crucial for effectively conveying insights to both technical and non-technical audiences. This is a prime opportunity to drive innovation in sports performance through data analytics from a remote work environment. Join our passionate team supporting initiatives connected to our sports facilities in **Thika, Kiambu, KE**.
This advertiser has chosen not to accept applicants from your region.
1
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking an experienced Senior Sports Analytics Manager to lead their data-driven initiatives in the leisure and sports sector. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for leveraging advanced analytics and statistical modeling to provide insights that enhance team performance, fan engagement, and strategic decision-making. The ideal candidate will have a deep understanding of sports, coupled with strong analytical skills and experience in managing data projects.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, team strategies, and game outcomes.
- Translate complex data into actionable insights for coaches, athletes, and management.
- Oversee the collection, cleaning, and processing of large datasets from various sports sources.
- Design and conduct A/B testing and other experiments to optimize strategies.
- Create compelling data visualizations and dashboards to communicate findings.
- Manage and mentor a team of sports analysts.
- Collaborate with IT and other departments to ensure data integrity and accessibility.
- Stay current with the latest trends in sports analytics and data science techniques.
- Present findings and recommendations to senior leadership and stakeholders.
- Contribute to the overall strategic planning of the organization through data-informed perspectives.
- 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 science role.
- Proven experience with statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to lead projects and manage a team in a remote environment.
- Strong problem-solving skills and attention to detail.
- A passion for sports and data-driven decision-making.
This advertiser has chosen not to accept applicants from your region.
2
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Sports Analytics Manager to join their dynamic team. This is a fully remote position, offering a unique opportunity to contribute to cutting-edge sports strategy from anywhere. The ideal candidate will possess a deep understanding of sports performance metrics, statistical modeling, and data visualization. You will be responsible for developing and implementing advanced analytical frameworks to provide actionable insights that drive performance improvements across various sporting disciplines. This role involves working closely with coaching staff, athletes, and management to translate complex data into clear, strategic recommendations. Your expertise will be crucial in identifying trends, predicting outcomes, and optimizing training regimens. Key responsibilities include:
- Leading the design and execution of complex data analysis projects related to sports performance, player development, and competitive strategy.
- Developing and maintaining predictive models for athlete performance, injury risk, and game outcomes.
- Collaborating with cross-functional teams to integrate data-driven insights into decision-making processes.
- Communicating findings and recommendations clearly and concisely to stakeholders at all levels, including non-technical audiences.
- Mentoring and guiding junior analysts, fostering a culture of data-driven excellence.
- Staying abreast of the latest advancements in sports analytics, machine learning, and data science technologies.
- Managing data infrastructure and ensuring data integrity and security.
- Designing and implementing A/B tests and other experimental designs to evaluate new strategies.
This advertiser has chosen not to accept applicants from your region.
3
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client, a prominent entity within the sports industry, is seeking a highly skilled and experienced Senior Sports Analytics Manager to lead its remote analytics department. This role is instrumental in leveraging data to drive strategic decision-making across various aspects of sports operations, from player performance and recruitment to fan engagement and commercial strategy. You will be responsible for developing and implementing advanced analytical models, identifying key performance indicators (KPIs), and extracting actionable insights from large datasets related to player statistics, game data, and market trends. This involves utilizing sophisticated statistical techniques, machine learning algorithms, and data visualization tools to provide data-driven recommendations to coaches, management, marketing, and business development teams. Collaboration is key; you will work closely with stakeholders across the organization to understand their analytical needs and translate complex data into clear, concise, and actionable reports and presentations. The ideal candidate will possess a strong background in data science, sports analytics, statistics, or a related quantitative field, with a proven track record of applying analytical methodologies to solve complex problems in a sports context. Expertise in programming languages such as Python or R, SQL, and experience with data visualization platforms (e.g., Tableau, Power BI) are essential. Exceptional communication, leadership, and stakeholder management skills are required to effectively guide the analytics team and influence decision-making at all levels. This fully remote position offers the unique opportunity to shape how data is used to enhance athletic performance, optimize business strategies, and drive fan engagement, with oversight of operations linked to **Meru, Meru, KE**. You will be a key player in harnessing the power of data to achieve competitive advantages and organizational success.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced sports analytics strategies.
- Analyze complex datasets related to player performance, game data, scouting, and market insights.
- Develop and monitor key performance indicators (KPIs) for various sports operations.
- Build predictive models for player performance, recruitment, and strategic planning.
- Create compelling data visualizations and reports for stakeholders.
- Collaborate with coaches, management, and business teams to understand analytical needs.
- Mentor and manage a team of sports analysts.
- Stay current with the latest advancements in sports analytics and data science techniques.
- Communicate findings and recommendations clearly and persuasively.
- Master's or PhD in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or data science, with a focus on sports.
- Proficiency in programming languages such as Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI) and statistical modeling techniques.
- Strong understanding of sports dynamics, performance metrics, and industry trends.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, presentation, and stakeholder management abilities.
- Proven experience in leading and mentoring analytical teams.
This advertiser has chosen not to accept applicants from your region.
4
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and forward-thinking Senior Sports Analytics Manager to join their dynamic team. This is a fully remote position, offering unparalleled flexibility and the opportunity to work from anywhere. The ideal candidate will possess a deep understanding of sports, statistical modeling, and data visualization to drive strategic decision-making within the sports industry. You will be responsible for leading a team of data analysts, overseeing the development and implementation of advanced analytics projects, and identifying key performance indicators to enhance athletic performance, fan engagement, and operational efficiency. Your expertise will be crucial in translating complex data into actionable insights for coaches, management, and stakeholders. The role requires a proactive individual who can manage multiple projects simultaneously, maintain strong communication channels with remote colleagues, and contribute to a culture of data-driven excellence. We expect you to develop and maintain sophisticated predictive models for player performance, game outcomes, and injury prevention. Furthermore, you will be instrumental in designing and executing A/B tests for various initiatives, such as marketing campaigns and event promotions. Collaboration with cross-functional teams, including marketing, operations, and IT, will be a significant part of your daily activities. The successful candidate will also mentor junior analysts, foster their professional growth, and ensure the team adheres to best practices in data science and analytics. A passion for sports, combined with a rigorous quantitative background, is essential. This role is perfect for someone who thrives in a fast-paced, remote environment and is eager to make a significant impact on the future of sports through data.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports data analysts.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze performance data for athletes and teams to identify trends and areas for improvement.
- Create compelling data visualizations and reports to communicate findings to non-technical stakeholders.
- Collaborate with coaching staff and management to translate data insights into strategic decisions.
- Oversee the collection, cleaning, and validation of sports-related data.
- Stay abreast of the latest advancements in sports analytics and data science.
- Manage project timelines, resources, and deliverables effectively in a remote setting.
- Ensure data integrity and security across all analytics platforms.
- Contribute to the overall strategic vision of the organization through data-driven recommendations.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 7 years of experience in data analytics, with at least 3 years in a leadership role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Demonstrated ability to develop and deploy machine learning models.
- Excellent understanding of statistical concepts and hypothesis testing.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to present complex information clearly.
- Proven ability to manage projects and teams effectively in a remote environment.
- A genuine passion for sports and a strong desire to contribute to its advancement through data.
This advertiser has chosen not to accept applicants from your region.
5
Senior Sports Analytics Manager
Posted 21 days ago
Job Viewed
Job Description
Our client, a prominent organization within the sports industry, is seeking an innovative Senior Sports Analytics Manager to join our fully remote team. This role is at the forefront of leveraging data to enhance performance, strategy, and fan engagement across various sporting disciplines. As a remote-first entity, we champion data-driven decision-making and provide a collaborative virtual environment for our analytics professionals. You will be responsible for leading a team of analysts, developing sophisticated analytical models, and translating complex data into actionable insights for coaches, management, and marketing departments. The ideal candidate will possess a strong quantitative background, deep knowledge of sports, and extensive experience in data analysis, statistical modeling, and visualization tools. You will oversee projects related to player performance, game strategy, scouting, and fan behavior, ultimately contributing to competitive advantage and commercial success. Your ability to communicate technical findings clearly to non-technical stakeholders will be crucial. Responsibilities include:
Qualifications:
This is an exceptional opportunity to influence the future of sports through data, working entirely remotely, serving our commitment to innovation and performance excellence. This role is based in the context of **Nakuru, Nakuru, KE** but operates remotely.
- Leading and mentoring a team of sports data analysts.
- Developing and implementing advanced analytical models for performance optimization and strategic planning.
- Analyzing player statistics, game data, and other relevant metrics to provide actionable insights.
- Collaborating with coaching staff and management to inform team strategies and decision-making.
- Developing metrics to track and evaluate player performance and team effectiveness.
- Creating compelling data visualizations and reports for various stakeholders.
- Identifying new data sources and analytical techniques to enhance insights.
- Managing relationships with external data providers and technology partners.
- Contributing to the overall data strategy and analytics roadmap of the organization.
- Staying current with the latest trends in sports analytics and technology.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in data analysis and sports analytics.
- Proven experience in leading analytical teams and managing data-driven projects.
- Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports rules, strategies, and performance metrics.
- Excellent analytical, problem-solving, and communication skills.
- Ability to translate complex data into clear, actionable recommendations.
- Experience working effectively in a remote, collaborative team environment.
This is an exceptional opportunity to influence the future of sports through data, working entirely remotely, serving our commitment to innovation and performance excellence. This role is based in the context of **Nakuru, Nakuru, KE** but operates remotely.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Sports Analytics Manager
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading innovator in sports technology, is seeking a highly motivated and analytical Senior Sports Analytics Manager to join our dynamic team. This is a fully remote, first-role position, allowing you to contribute to our global mission from anywhere. You will be instrumental in driving performance improvements and strategic decision-making across various sports disciplines by leveraging data. The ideal candidate will possess a deep understanding of sports, combined with advanced statistical modeling and data visualization skills. You will lead a team of analysts, overseeing the entire data lifecycle from collection and cleaning to interpretation and reporting. Responsibilities include developing predictive models for player performance, identifying trends in game strategy, and creating actionable insights for coaching staff and management. You will also collaborate closely with product development teams to ensure our analytical tools meet the evolving needs of the sports industry. A key aspect of this role involves communicating complex findings to non-technical stakeholders in a clear and concise manner. This position requires a proactive approach to problem-solving and a passion for pushing the boundaries of sports analytics. If you are a strategic thinker with a proven track record in sports data analysis and leadership, we encourage you to apply. Join us in shaping the future of sports through data-driven insights. The core of this role involves working remotely, fostering a collaborative environment through digital communication tools, and ensuring timely delivery of critical analytical reports. The opportunity is based in Thika, Kiambu, KE , but the work is entirely remote.
Qualifications:
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics, with at least 3 years in a leadership role.
- Proficiency in programming languages such as Python or R for statistical analysis and machine learning.
- Experience with data visualization tools like Tableau or Power BI.
- Strong understanding of various sports rules and strategies.
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to manage multiple projects and meet deadlines in a remote setting.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Senior Sports Analytics Manager
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Sports Analytics Manager to lead our remote analytics team. This pivotal role involves developing and implementing advanced analytical strategies to enhance athletic performance, game strategy, and fan engagement across various sports disciplines. You will be instrumental in transforming raw data into actionable insights that drive decision-making at all levels of the organization. The ideal candidate possesses a deep understanding of statistical modeling, machine learning, and data visualization techniques, applied specifically within the sports context.
Key Responsibilities:
Strategic Planning: Develop and execute a comprehensive data analytics strategy aligned with organizational goals. Identify key performance indicators (KPIs) and establish frameworks for their measurement and reporting.
Team Leadership: Manage, mentor, and develop a high-performing team of data analysts and scientists. Foster a collaborative and innovative work environment.
Data Analysis & Modeling: Oversee the collection, cleaning, and analysis of large datasets related to player performance, opponent strategies, injury data, and fan behavior. Develop predictive models for performance optimization and risk assessment.
Performance Insights: Translate complex analytical findings into clear, concise, and actionable recommendations for coaches, athletes, and management.
Technology & Tools: Evaluate and implement cutting-edge analytics tools and technologies to improve data processing capabilities and insight generation. Ensure data integrity and security.
Reporting & Visualization: Create compelling data visualizations and reports to communicate findings to diverse stakeholders.
Collaboration: Work closely with various departments, including performance science, coaching staff, marketing, and operations, to integrate data-driven insights into daily workflows.
Qualifications:
Key Responsibilities:
Strategic Planning: Develop and execute a comprehensive data analytics strategy aligned with organizational goals. Identify key performance indicators (KPIs) and establish frameworks for their measurement and reporting.
Team Leadership: Manage, mentor, and develop a high-performing team of data analysts and scientists. Foster a collaborative and innovative work environment.
Data Analysis & Modeling: Oversee the collection, cleaning, and analysis of large datasets related to player performance, opponent strategies, injury data, and fan behavior. Develop predictive models for performance optimization and risk assessment.
Performance Insights: Translate complex analytical findings into clear, concise, and actionable recommendations for coaches, athletes, and management.
Technology & Tools: Evaluate and implement cutting-edge analytics tools and technologies to improve data processing capabilities and insight generation. Ensure data integrity and security.
Reporting & Visualization: Create compelling data visualizations and reports to communicate findings to diverse stakeholders.
Collaboration: Work closely with various departments, including performance science, coaching staff, marketing, and operations, to integrate data-driven insights into daily workflows.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in data analytics, with at least 3 years in a leadership role within the sports industry.
- Proven expertise in statistical analysis, predictive modeling, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI, Python libraries like Pandas, Scikit-learn, TensorFlow).
- Strong understanding of sports science principles, performance metrics, and game dynamics.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Demonstrated ability to manage projects, lead teams, and drive results in a remote setting.
This advertiser has chosen not to accept applicants from your region.
8
Senior Sports Analytics Manager
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and strategically-minded Senior Sports Analytics Manager to join their dynamic remote team. This pivotal role will be responsible for leveraging data to drive performance improvements across various sports disciplines. You will lead a team of analysts, overseeing the collection, processing, and interpretation of vast datasets related to player performance, game statistics, fan engagement, and operational efficiency. The ideal candidate will possess a deep understanding of sports, combined with exceptional statistical modeling and data visualization skills. You will be instrumental in developing predictive models, identifying key performance indicators (KPIs), and providing actionable insights to coaches, management, and athletes. Key responsibilities include designing and implementing data collection frameworks, conducting advanced statistical analyses, presenting complex findings in a clear and concise manner to diverse stakeholders, and staying abreast of the latest trends and technologies in sports analytics. Furthermore, you will collaborate with cross-functional teams to integrate data insights into strategic decision-making processes. This is a fully remote position, offering the flexibility to work from anywhere, but requiring strong self-discipline and communication skills. The ability to work independently, manage multiple projects simultaneously, and meet strict deadlines is essential. The role demands a proactive approach to problem-solving and a passion for pushing the boundaries of sports performance through data. Collaboration will be fostered through regular virtual meetings and digital communication tools. This role is crucial for our client's continuous pursuit of excellence in the competitive sports landscape. The successful candidate will have a significant impact on shaping future strategies and enhancing overall team and athlete success.
Responsibilities:
Qualifications:
Responsibilities:
- Lead and mentor a team of sports analysts.
- Develop and implement advanced statistical models and algorithms.
- Oversee data collection, cleaning, and validation processes.
- Analyze player performance, game statistics, and operational data.
- Create compelling data visualizations and reports for stakeholders.
- Provide actionable insights and recommendations to enhance performance.
- Collaborate with coaches, athletes, and management to implement data-driven strategies.
- Stay current with industry trends and emerging technologies in sports analytics.
- Manage multiple projects concurrently in a remote environment.
- Contribute to the development of long-term data strategy.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
- Proven experience (5+ years) in sports analytics, with a focus on performance analysis.
- Strong understanding of various sports and their performance metrics.
- Proficiency in statistical software (e.g., R, Python, SPSS) and database management (SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Demonstrated leadership and team management experience.
- Ability to thrive in a fast-paced, remote work environment.
- Passion for sports and data-driven decision-making.
This advertiser has chosen not to accept applicants from your region.
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