693 Remote Sports Analytics Manager jobs in Kenya
Remote Sports Analytics Manager (Remote)
Posted today
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Job Description
Our client is looking for a data-driven and passionate Remote Sports Analytics Manager to join their dynamic team. This role is fully remote, focusing on leveraging advanced analytics to enhance performance and strategy within the sports domain. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights to coaches, athletes, and management. The ideal candidate will possess a strong background in sports science, data analytics, statistics, or a related field, with proven experience in applying analytical techniques to sports performance. Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., R, Python), and database management is essential. You will work on projects ranging from player performance evaluation and injury prevention to game strategy optimization and fan engagement. Key responsibilities include developing predictive models, identifying key performance indicators, and communicating findings through clear reports and presentations. The ability to translate complex data into easily understandable insights for non-technical stakeholders is critical. This position requires exceptional analytical, problem-solving, and communication skills, with a deep understanding of sports dynamics. This is a fantastic opportunity for an analytics professional to contribute to the world of sports and make a tangible impact on team and athlete success, all from a remote location. The successful candidate will be a highly motivated individual with a passion for sports and a commitment to using data to drive excellence.
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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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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 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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3
Senior Sports Analytics Manager - Remote Insights
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and strategic Senior Sports Analytics Manager to join their growing team. This role is fully remote, allowing you to leverage data to drive performance and strategic decisions from anywhere. You will be responsible for developing and implementing advanced analytical frameworks to assess player performance, team strategy, and game outcomes across various sports. Your work will directly influence coaching decisions, player development programs, and overall competitive strategy. The ideal candidate possesses a strong quantitative background, deep knowledge of sports, and exceptional skills in data visualization and statistical modeling. Collaboration with coaches, athletes, and front-office staff in a virtual setting is a key component of this role.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced analytical models for player and team performance evaluation.
- Collect, clean, and analyze large datasets from various sports sources, including in-game statistics, tracking data, and scouting reports.
- Translate complex data findings into clear, actionable insights for coaches, athletes, and management.
- Develop predictive models for game outcomes, player potential, and strategic decision-making.
- Create compelling data visualizations and dashboards to communicate key insights effectively.
- Collaborate closely with coaching staff to understand their analytical needs and provide tailored solutions.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Mentor junior analysts and contribute to the development of the analytics team.
- Ensure data integrity and manage data pipelines for efficient analysis.
- Communicate findings and recommendations clearly through presentations and reports in a remote setting.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a related field, with a proven track record of impactful contributions.
- Deep understanding of various sports, their rules, strategies, and performance metrics.
- Proficiency in statistical programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, dplyr).
- Experience with database management and SQL.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, critical thinking, and problem-solving skills.
- Superior communication and presentation skills, with the ability to explain complex data to non-technical audiences remotely.
- Proven ability to work independently and as part of a distributed team.
- A passion for sports and a data-driven approach to performance improvement.
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Senior Sports Analytics Manager - Remote Performance Optimization
Posted 7 days ago
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Job Description
Our client, a forward-thinking organization in the leisure and sports sector, is seeking a highly analytical Senior Sports Analytics Manager to lead their remote performance analytics initiatives. This role is crucial for leveraging data to enhance athletic performance, optimize team strategies, and improve overall sports operations. As a fully remote professional, you will be responsible for collecting, analyzing, and interpreting complex datasets related to player statistics, game performance, training regimes, and injury prevention. Your key responsibilities will include developing predictive models, creating performance dashboards, and providing actionable insights to coaches, athletes, and management. The ideal candidate will possess a strong background in sports science, data analytics, or a related quantitative field, with a proven track record in applying analytical techniques to sports contexts. Proficiency in data analysis tools and programming languages such as Python, R, SQL, and experience with visualization tools like Tableau or Power BI are essential. Excellent communication skills are required to translate complex data findings into clear, concise recommendations for diverse stakeholders in a virtual environment. This role demands a proactive, detail-oriented individual who can manage multiple projects independently and contribute to a collaborative remote team. You will play a key role in shaping data-driven decision-making processes within the organization, driving improvements in performance and strategic planning, all while enjoying the flexibility of a fully remote work arrangement from anywhere. While our reach extends to Garissa, Garissa, KE , this position is entirely remote, offering a unique opportunity to influence sports performance through advanced analytics. If you are a passionate data expert with a deep understanding of sports, we encourage you to apply for this exciting remote role.
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5
Remote Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Sports Analytics Specialist to join their remote-first operations. This role is pivotal in providing in-depth performance analysis for various sports teams and athletes, leveraging data to inform strategic decision-making and enhance performance. As a Remote Sports Analytics Specialist, you will be responsible for collecting, cleaning, and interpreting vast datasets related to player statistics, game performance, and training regimens. You will utilize advanced statistical modeling, machine learning techniques, and data visualization tools to identify trends, uncover insights, and develop predictive models. Your analysis will directly impact coaching strategies, player development plans, and game-day decision-making. The ideal candidate will have a strong background in sports science, statistics, data science, or a related quantitative field. Proficiency in programming languages such as Python or R, along with experience in database management and SQL, is essential. Familiarity with sports-specific data sources and analytics platforms is a significant advantage. You will work collaboratively with coaches, performance analysts, and management teams, communicating complex findings in a clear and concise manner through comprehensive reports and presentations. This is a fully remote position, requiring strong self-discipline, excellent time management skills, and the ability to work autonomously. A passion for sports and a keen eye for detail are paramount. You will contribute to optimizing athletic performance and achieving competitive advantages through data-driven insights. The role involves staying abreast of the latest trends in sports analytics and incorporating new methodologies into your work. If you are passionate about the intersection of sports and data, possess exceptional analytical skills, and are looking for a challenging and rewarding remote opportunity, this is the perfect fit. This role offers the flexibility to contribute your expertise from anywhere, impacting the success of sports organizations. Join our client's innovative team and help shape the future of sports performance analysis. This position is based remotely but connected to the operations in **Nyeri, Nyeri, KE**, offering a unique blend of global impact and local presence.
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Senior Remote Sports Analytics Specialist
Posted 19 days ago
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Job Description
Our client, a leading entity in the sports industry, is seeking a highly analytical and data-driven Senior Remote Sports Analytics Specialist to join our fully remote team. This is an exciting opportunity to leverage advanced statistical techniques and data visualization tools to uncover insights that drive strategic decisions across various sports disciplines. You will be responsible for collecting, processing, and analyzing vast datasets related to player performance, team dynamics, and game outcomes. The ideal candidate possesses a strong background in statistics, data science, or a related quantitative field, coupled with a deep passion for sports. You should be proficient in data analysis languages like Python or R, and experienced with SQL databases and data visualization software (e.g., Tableau, Power BI). Key responsibilities include developing predictive models, identifying performance trends, evaluating player recruitment strategies, and providing actionable recommendations to coaches, management, and athletes. We are looking for a self-motivated individual who can work independently, communicate complex findings clearly to diverse stakeholders, and contribute to a culture of data-informed decision-making. This role offers a unique chance to influence the performance and strategy of elite sports teams from the comfort of your home, contributing directly to competitive success. Your analytical prowess will be instrumental in optimizing team strategies, identifying talent, and enhancing overall performance. The successful candidate will be a sharp, inquisitive mind with a knack for translating complex data into clear, impactful insights.
Responsibilities:
Responsibilities:
- Collect, clean, and organize large datasets related to sports performance and outcomes.
- Apply statistical modeling and machine learning techniques to analyze data and identify key insights.
- Develop predictive models for player performance, game outcomes, and strategy effectiveness.
- Create compelling data visualizations and reports to communicate findings to coaches, management, and athletes.
- Evaluate player statistics and scouting reports to support recruitment and talent identification.
- Provide data-driven recommendations to improve team strategy, training methods, and player development.
- Collaborate with stakeholders to understand their data needs and deliver actionable insights.
- Stay up-to-date with the latest advancements in sports analytics, data science, and relevant technologies.
- Contribute to the development of data infrastructure and analytics platforms.
- Maintain data integrity and ensure the security and confidentiality of sensitive information.
- Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar data analysis role.
- Proficiency in statistical programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, SciPy, scikit-learn).
- Strong experience with SQL and database management.
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Deep understanding of sports rules, strategies, and performance metrics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning algorithms and predictive modeling is essential.
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7
Supply Chain Analytics Manager (Remote)
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and strategic Supply Chain Analytics Manager to lead their data-driven initiatives within the logistics and warehousing domain, operating entirely remotely. This role is crucial for transforming vast amounts of supply chain data into actionable insights that will optimize performance, reduce costs, and enhance efficiency across the entire network. The ideal candidate will possess deep expertise in data analysis, statistical modeling, supply chain metrics, and advanced analytics tools. You will be responsible for developing dashboards, predictive models, and strategic recommendations to guide decision-making for a global, remote team.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced analytics strategies to optimize supply chain operations, including inventory management, transportation, and warehousing.
- Design, build, and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) across the supply chain.
- Utilize statistical modeling and machine learning techniques to forecast demand, identify trends, and predict potential disruptions.
- Analyze complex datasets to identify opportunities for cost reduction, efficiency improvements, and service level enhancements.
- Collaborate closely with logistics, warehousing, and operations teams to understand their analytical needs and provide data-driven solutions.
- Develop and implement data quality standards and ensure the accuracy and reliability of supply chain data.
- Present findings and recommendations to senior management and cross-functional teams, translating complex data into clear business insights.
- Stay abreast of the latest advancements in supply chain analytics tools and methodologies.
- Mentor and guide junior analysts within the remote team.
- Champion a data-driven culture throughout the supply chain organization.
- Master's degree in Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.
- A minimum of 7-9 years of experience in supply chain analytics, operations research, or a similar analytical role.
- Proven experience in developing and implementing advanced analytical models and dashboards for supply chain optimization.
- Expertise in data analysis tools and programming languages such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
- Strong understanding of supply chain processes, including inventory management, warehousing, transportation, and logistics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to effectively convey complex data insights to diverse, remote audiences.
- Experience working with large datasets and distributed data platforms.
- Ability to work independently, manage multiple projects, and prioritize effectively in a remote setting.
- Experience in predictive modeling and forecasting techniques is highly desirable.
- Knowledge of supply chain operations relevant to the region of Thika, Kiambu, KE would be an asset.
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8
Remote Lead Sports Analytics Specialist
Posted 21 days ago
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Job Description
Our client is seeking a highly skilled and experienced Lead Sports Analytics Specialist to spearhead their data-driven insights into athletic performance and strategy. This is a fully remote position, requiring a sophisticated understanding of sports, statistics, and data analysis tools. You will be responsible for developing and implementing advanced analytical models to evaluate player performance, predict game outcomes, and optimize team strategies across various sports. Your role will involve collecting and processing large datasets from multiple sources, including performance metrics, biometric data, and video analysis. You will work closely with coaches, performance staff, and management to translate complex data findings into actionable recommendations that enhance training, improve player development, and contribute to winning outcomes. The ideal candidate will possess strong leadership qualities, exceptional analytical and problem-solving skills, and a deep passion for sports and data.
Responsibilities:
Responsibilities:
- Lead the development and application of advanced analytical models for sports performance evaluation.
- Analyze vast datasets related to player statistics, game events, and physical performance.
- Develop predictive models to forecast game outcomes, identify optimal strategies, and assess risk.
- Collaborate with coaching staff and performance analysts to provide data-driven insights and recommendations.
- Design and implement methodologies for talent identification and player scouting using data.
- Create compelling visualizations and reports to communicate complex analytical findings to stakeholders.
- Stay current with the latest trends and technologies in sports analytics and data science.
- Mentor junior analysts and contribute to the growth of the analytics team.
- Ensure data integrity and accuracy throughout all analytical processes.
- Contribute to the strategic decision-making of the sports organization through rigorous data analysis.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, with a proven track record of impactful contributions.
- In-depth knowledge of statistical modeling, machine learning techniques, and data mining.
- Proficiency in programming languages such as Python or R, and relevant data analysis libraries.
- Experience with data visualization tools (e.g., Tableau, Power BI) and database management.
- Strong understanding of various sports, their rules, and key performance indicators.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience managing projects and leading a team is highly desirable.
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