2,289 Senior Sports Analytics Consultant jobs in Kenya
Sports Analytics Manager
Posted 18 days ago
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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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Job Description
Our client is searching for an exceptional Lead Sports Analytics Manager to spearhead their data-driven performance initiatives. This is a unique opportunity to work in a fully remote capacity, shaping the future of athletic performance through advanced analytics. You will be responsible for managing a team of sports analysts, developing sophisticated models, and translating complex data into actionable insights for coaches, athletes, and management. The ideal candidate will have a profound understanding of various sports, coupled with advanced statistical and machine learning expertise. Your role will involve overseeing the collection, processing, and analysis of performance data from multiple sources, including wearable technology, video analysis, and game statistics. You will design and implement analytical frameworks to identify key performance indicators (KPIs), predict outcomes, and optimize training and game strategies. A strong background in data visualization and storytelling is crucial for effectively communicating findings to diverse stakeholders. This position demands exceptional leadership qualities, a passion for sports, and a proven track record in leveraging data to achieve competitive advantages. You will be expected to stay at the forefront of sports science and analytics research, continuously exploring new methodologies and technologies. This is a fully remote role, offering flexibility while demanding high levels of collaboration and communication within a virtual setting. The nominal operational base for this position is **Kitale, Trans-Nzoia, KE**. Key responsibilities include:
- Leading and mentoring a team of sports analysts.
- Developing and implementing advanced analytical models for athlete and team performance.
- Designing data collection protocols and ensuring data integrity.
- Identifying key performance indicators and providing strategic recommendations.
- Translating complex data findings into clear, actionable insights for coaches and athletes.
- Collaborating with sports science, coaching, and medical staff.
- Staying current with the latest trends in sports analytics and technology.
- Presenting findings and recommendations to senior management.
- Managing the analytics technology stack and ensuring its effectiveness.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
- At least 8 years of experience in sports analytics, with a significant portion in a leadership role.
- Expertise in statistical modeling, machine learning, and predictive analytics.
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with sports-specific data sources and analytical techniques.
- Strong understanding of athletic performance principles and various sports.
- Excellent leadership, communication, and presentation skills.
- Proven ability to work effectively in a fully remote and collaborative environment.
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Senior Sports Analytics Manager
Posted 21 days ago
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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.
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Sports Analytics Manager, Remote
Posted 21 days ago
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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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Remote Sports Analytics Manager
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and results-oriented Sports Analytics Manager to join their progressive, fully remote team. This role is instrumental in leveraging data to enhance athletic performance, strategy, and decision-making across various sporting disciplines. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to player performance, game statistics, and team dynamics. The ideal candidate will possess a deep understanding of statistical modeling, data visualization, and the application of analytics in a sports context. You will collaborate closely with coaches, athletes, and management to translate data-driven insights into actionable strategies that optimize performance and achieve competitive advantages. Key responsibilities include developing and implementing advanced analytical models, creating performance dashboards and reports, and identifying key performance indicators (KPIs). This position demands exceptional quantitative skills, proficiency in data analysis tools (e.g., Python, R, SQL), and strong communication abilities to present complex findings clearly and concisely to diverse audiences. Given the remote nature of the role, self-motivation, excellent organizational skills, and the ability to work independently while fostering collaborative relationships with a dispersed team are paramount. If you have a passion for sports and a talent for uncovering meaningful insights from data, this is an exciting opportunity.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and analyze large datasets related to athlete and team performance.
- Develop and implement statistical models and predictive analytics to inform strategy and decision-making.
- Create compelling data visualizations and reports to communicate insights to coaches and management.
- Identify key performance indicators (KPIs) and track progress towards goals.
- Collaborate with coaching staff to provide data-driven recommendations for player development and game strategy.
- Conduct research on emerging analytical techniques and their application in sports.
- Develop and maintain databases and data management systems.
- Ensure the accuracy, integrity, and security of all sports-related data.
- Present findings and recommendations clearly and effectively in a remote setting.
- Stay up-to-date with the latest trends and technologies in sports analytics.
Qualifications:
- Bachelor's or 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 related data analysis role.
- Proven experience with statistical modeling, data mining, and machine learning techniques.
- Proficiency in data analysis programming languages such as Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports performance metrics and analytics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex information clearly.
- Ability to work independently and manage projects effectively in a remote environment.
- Passion for sports and a deep understanding of athletic performance.
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Sports Analytics Manager - Performance Insights
Posted 11 days ago
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Job Description
Our client, a dynamic organization in the leisure and sports sector, is seeking a talented and data-driven Sports Analytics Manager to join their fully remote team. This role is pivotal in leveraging advanced analytics to uncover insights that drive athletic performance, strategic decision-making, and fan engagement. You will be responsible for collecting, cleaning, and analyzing vast datasets from various sports-related sources, developing predictive models, and presenting actionable findings to coaches, athletes, and management. The ideal candidate will possess a strong quantitative background, a deep understanding of sports, and exceptional data visualization and communication skills. This is a remote position requiring initiative and a passion for sports technology.
Responsibilities:
Responsibilities:
- Develop and implement data collection strategies for various sports performance metrics.
- Clean, transform, and analyze large datasets using statistical methods and analytical tools.
- Build predictive models to forecast athlete performance, identify potential injuries, and optimize training regimens.
- Create compelling data visualizations and dashboards to communicate complex insights to non-technical stakeholders.
- Collaborate with coaches and athletes to understand their data needs and provide performance recommendations.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Stay current with the latest advancements in sports analytics, machine learning, and data science techniques.
- Develop and maintain databases and data infrastructure for sports analytics.
- Present findings and recommendations in clear, concise reports and presentations.
- Contribute to the development of innovative data-driven strategies for fan engagement and sports marketing.
- Master's degree in Statistics, Data Science, Sports Analytics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis and sports analytics.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports performance metrics and methodologies across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to translate complex data into understandable insights.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Experience with database management (SQL) is highly desirable.
- A genuine passion for sports and a desire to impact performance through data.
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Senior Leisure & Sports Analytics Manager
Posted 6 days ago
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Job Description
Our client, a dynamic and innovative organization dedicated to enhancing experiences within the leisure and sports industries, is seeking an experienced Senior Leisure & Sports Analytics Manager. This is a fully remote position, allowing you to leverage your analytical prowess from anywhere to drive strategic decisions and optimize operations. You will be responsible for collecting, analyzing, and interpreting complex data sets related to consumer behavior, market trends, and operational performance to provide actionable insights. While working remotely, your insights will be critical for organizations that engage with the coastal leisure and sports scene, including within Malindi, Kilifi, KE .
Responsibilities:
Responsibilities:
- Lead the collection, cleaning, and analysis of large datasets related to leisure and sports activities, consumer engagement, and market trends.
- Develop and implement advanced analytical models to identify key performance indicators (KPIs), predict future trends, and inform strategic decision-making.
- Translate complex data findings into clear, concise, and actionable recommendations for various stakeholders, including management, marketing, and operations teams.
- Design and conduct A/B tests and other experiments to measure the effectiveness of new initiatives and strategies.
- Develop dashboards and reports to visualize key metrics and track progress against objectives.
- Identify opportunities for process improvements and efficiency gains through data-driven insights.
- Stay abreast of the latest trends and technologies in data analytics, sports science, and leisure management.
- Collaborate with cross-functional teams to define data requirements and analytical needs.
- Mentor junior analysts and contribute to building a data-driven culture within the organization.
- Ensure data integrity, accuracy, and adherence to privacy regulations.
- Present findings and recommendations to senior leadership and external partners.
- Champion the use of data and analytics to enhance customer experiences and business outcomes.
- Master's degree in Statistics, Mathematics, Economics, Data Science, Sports Management, or a related quantitative field.
- Minimum of 6 years of experience in data analysis, with a significant portion focused on the leisure and/or sports industry.
- Proven experience in building predictive models, segmentation analysis, and trend forecasting.
- Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), R, or similar.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical methods and experimental design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional ability to communicate complex technical findings to non-technical audiences.
- Experience working effectively in a fully remote team environment.
- Familiarity with sports analytics or consumer behavior in leisure settings is highly desirable.
- Ability to manage multiple projects and deadlines simultaneously.
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Lead Remote Sports Analytics Manager
Posted 12 days ago
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Job Description
Our client, a pioneering sports technology firm, is seeking an analytical and forward-thinking Lead Remote Sports Analytics Manager. This is a fully remote position, allowing you to drive data-driven insights from your home office to enhance athletic performance and fan engagement, supporting operations connected to **Embu, Embu, KE**. You will be responsible for leading a team of sports analysts in collecting, processing, and interpreting vast amounts of data from various sources, including player performance metrics, game statistics, and fan engagement platforms. Your insights will be critical in informing coaching strategies, player development programs, and marketing initiatives. The ideal candidate will possess a strong background in sports analytics, statistical modeling, and data visualization. Proficiency in programming languages such as Python or R, along with experience in database management and business intelligence tools, is essential. You should have a deep understanding of various sports and their unique analytical requirements. Excellent leadership and team management skills are required to guide and mentor a remote analytics team. Strong communication and presentation skills are necessary to translate complex data findings into actionable recommendations for coaches, management, and stakeholders. This role requires a proactive and innovative approach to identifying new analytical opportunities and developing cutting-edge solutions. A passion for sports and a commitment to leveraging data to achieve peak performance are highly valued. If you are a seasoned sports analytics professional with a proven ability to lead remote teams and drive strategic decision-making through data, we invite you to apply for this exciting opportunity.
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Lead Sports Analytics Manager - Remote
Posted 21 days ago
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Job Description
Our client is seeking a visionary and highly analytical Lead Sports Analytics Manager to spearhead their data-driven performance initiatives. This is a fully remote position, perfect for a passionate individual who excels at transforming raw data into actionable insights that drive athletic success. You will be responsible for leading a team of analysts, developing sophisticated statistical models, and designing comprehensive analytics strategies across various sports disciplines. The ideal candidate will possess a deep understanding of sports performance metrics, advanced statistical techniques, and data visualization tools. You will collaborate closely with coaches, athletes, and management to identify key performance indicators (KPIs), interpret complex data sets, and provide strategic recommendations to enhance player development, team strategy, and competitive advantage. Your role will involve overseeing the collection, cleaning, and analysis of large volumes of sports-related data from training, competition, and other sources. You will champion the use of advanced analytics to uncover hidden trends, predict outcomes, and optimize training regimens. This position requires exceptional leadership skills to mentor and guide your team, fostering a culture of continuous learning and innovation. You will present findings and recommendations to stakeholders at all levels, effectively communicating the value of data analytics. The successful candidate will be adept at using tools such as Python, R, SQL, and visualization software like Tableau or Power BI. Experience with machine learning algorithms applied to sports is highly desirable. You will stay abreast of the latest trends in sports science, analytics, and technology to ensure our client remains at the forefront of the industry. Proactive identification of opportunities to leverage data for strategic decision-making is crucial. This role demands a blend of technical expertise, strategic thinking, and strong interpersonal skills to effectively integrate data insights into the core of sports operations. The ability to manage multiple projects simultaneously and deliver high-quality results in a remote setting is essential.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports analytics professionals.
- Develop and implement advanced statistical models and analytical frameworks for sports performance.
- Oversee data collection, cleaning, and processing for diverse sports datasets.
- Analyze performance data to identify trends, predict outcomes, and provide strategic insights.
- Collaborate with coaches, athletes, and management to define KPIs and inform decision-making.
- Develop data visualization tools and reports to effectively communicate findings.
- Research and integrate new analytical techniques and technologies.
- Present complex analytical results to non-technical audiences.
- Ensure the integrity and accuracy of all data analyses.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- 5+ years of experience in sports analytics, with proven leadership capabilities.
- Expertise in statistical modeling, machine learning, 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 sports performance metrics and analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Ability to lead and inspire a remote team.
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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 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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