2,289 Sports Analytics Consultant jobs in Kenya
Sports Analytics Manager
Posted 21 days ago
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Job Description
- 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.
Senior Sports Analytics Manager
Posted 21 days ago
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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.
Sports Analytics Manager, Remote
Posted 21 days ago
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Job Description
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.
Remote Sports Analytics Manager
Posted 21 days ago
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Job Description
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.
Sports Analytics Manager - Performance Insights
Posted 11 days ago
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Job Description
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.
Senior Leisure & Sports Analytics Manager
Posted 6 days ago
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Job Description
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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Lead Sports Analytics Manager - Remote
Posted 21 days ago
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Job Description
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.
Senior Sports Analytics Manager, Remote
Posted 21 days ago
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