152 Analytics Manager jobs in Kenya
Sports Analytics Manager
Posted 2 days ago
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Sports Analytics Manager
Posted 2 days ago
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Job Description
Remote Sports Analytics Manager
Posted today
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Responsibilities:
- Develop and implement data collection strategies for various sports metrics, including performance, physiological, and tactical data.
- Utilize statistical modeling, machine learning, and data mining techniques to uncover trends and insights.
- Analyze game footage, player statistics, and other relevant data to identify areas for improvement and strategic advantage.
- Create compelling data visualizations and reports to communicate complex findings to coaches, athletes, and management.
- Collaborate with coaching staff and performance teams to translate data insights into practical training and game strategies.
- Stay current with the latest advancements in sports analytics, technology, and research methodologies.
- Manage and mentor a team of junior analysts, fostering a culture of data excellence.
- Develop predictive models for player performance, injury risk, and game outcomes.
- Work with technology partners to integrate new data sources and analytical tools.
- Present findings and recommendations in a clear and persuasive manner through virtual presentations.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar quantitative analysis role.
- Proven experience with statistical software (e.g., R, Python, SPSS) and database management (SQL).
- Strong knowledge of machine learning algorithms and data mining techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports, including rules, strategies, and performance indicators across multiple disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Demonstrated ability to work independently and manage projects in a remote environment.
- Experience in leading and developing analytical teams is a plus.
Senior Sports Analytics Manager
Posted today
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Job Description
Responsibilities:
- Develop and implement advanced analytical frameworks and models to extract meaningful insights from sports data.
- Analyze player performance, game statistics, scouting data, and fan behavior to identify trends and opportunities.
- Design and conduct predictive modeling to forecast game outcomes, player performance, and market trends.
- Create compelling data visualizations and reports to communicate findings to stakeholders with varying levels of technical expertise.
- Collaborate with coaching staff to develop data-driven strategies for player development, game planning, and tactical adjustments.
- Work with marketing and business development teams to understand fan engagement patterns and optimize strategies.
- Identify and implement new data sources and analytical tools to enhance capabilities.
- Stay abreast of the latest advancements in sports analytics, data science, and machine learning techniques.
- Manage and mentor junior analysts, fostering a culture of continuous learning and innovation.
- Ensure data integrity, accuracy, and adherence to privacy standards.
- Present findings and recommendations to senior leadership, coaches, and other key stakeholders.
- Contribute to the development of analytical tools and dashboards for real-time insights.
- Champion a data-driven culture throughout the organization.
- Master's degree or PhD in Statistics, Data Science, Mathematics, Sports Management, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, data science, or a related analytical role.
- Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports performance metrics, game strategies, and industry trends.
- Excellent communication, presentation, and storytelling skills, with the ability to explain complex data concepts to non-technical audiences.
- Demonstrated ability to work independently and collaboratively in a remote environment.
- Strong project management and organizational skills.
- Experience with sports-specific databases and analytics platforms is a plus.
Remote Sports Analytics Manager
Posted 1 day ago
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Job Description
Responsibilities:
- Lead the collection, cleaning, and analysis of sports data from various sources.
- Develop and implement advanced statistical models and predictive analytics for performance optimization.
- Manage and mentor a team of sports data analysts.
- Translate complex data findings into actionable insights for coaches and management.
- Create compelling data visualizations and reports to communicate insights effectively.
- Conduct in-depth performance analysis of players, teams, and opponents.
- Identify trends and opportunities for strategic advantage in gameplay and operations.
- Collaborate with cross-functional teams to integrate data insights into decision-making processes.
- Stay abreast of the latest advancements in sports analytics and data science techniques.
- Ensure data integrity and accuracy throughout the analysis process.
- Master's degree in Statistics, Data Science, Sports Analytics, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics, with at least 2 years in a leadership or management role.
- Proven experience in designing and implementing statistical models for sports performance.
- Proficiency in data analysis and programming languages such as Python, R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports, game dynamics, and relevant performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Experience working in a remote team environment is a plus.
Senior Sports Analytics Manager
Posted 2 days ago
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Job Description
The ideal candidate possesses a strong quantitative background, extensive experience in sports analytics, and the ability to manage and mentor a remote team of analysts. You will oversee the collection, processing, and interpretation of vast datasets, including performance metrics, player statistics, and strategic game data. This position requires exceptional communication skills to present findings clearly and persuasively, influencing strategic planning and enhancing competitive advantages. You should be adept at utilizing statistical software and possess a deep understanding of various sports disciplines.
Responsibilities:
- Lead the development and implementation of advanced analytical models for sports performance, player evaluation, and strategic planning.
- Oversee the collection, cleaning, and management of large datasets related to athlete performance, game statistics, and operational data.
- Identify and track key performance indicators (KPIs) to measure success and identify areas for improvement.
- Translate complex data findings into clear, concise, and actionable insights for coaches, athletes, and executive leadership.
- Present analytical reports and strategic recommendations through compelling data visualizations and presentations.
- Manage and mentor a remote team of sports analysts, fostering a collaborative and high-performing environment.
- Collaborate with coaching staff and technical teams to integrate analytical insights into training and game strategies.
- Stay abreast of the latest trends and innovations in sports analytics, data science, and sports technology.
- Develop and maintain relationships with data providers and external analytics partners.
- Ensure the integrity and accuracy of all data analysis and reporting.
- Contribute to the development of predictive models for player performance, injury risk, and team success.
- Communicate effectively across different departments to champion data-driven decision-making.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Economics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics, with a proven track record of delivering impactful insights.
- Extensive experience with statistical software (e.g., R, Python, SPSS) and data visualization tools (e.g., Tableau, Power BI).
- Demonstrated ability to build and manage complex analytical models.
- Deep understanding of various sports, their performance metrics, and strategic nuances.
- Excellent leadership, communication, and presentation skills, with the ability to convey technical information to diverse audiences.
- Proven experience managing remote teams and projects effectively.
- Strong analytical, critical thinking, and problem-solving abilities.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Experience with machine learning techniques and predictive modeling is highly desirable.
- Passion for sports and a commitment to leveraging data for competitive advantage.
Senior Sports Analytics Manager
Posted 2 days ago
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Job Description
Key Responsibilities:
- Develop and implement sophisticated analytical models to extract actionable insights from sports data (e.g., player performance, game statistics, fan engagement).
- Oversee the collection, cleaning, and processing of diverse datasets from various sports sources.
- Translate complex data findings into clear, concise, and compelling reports and presentations for coaches, management, and other stakeholders.
- Identify key performance indicators (KPIs) and develop dashboards for monitoring progress and success.
- Lead research initiatives to explore new analytical methodologies and technologies in sports.
- Collaborate with technical teams to develop and integrate analytical tools and platforms.
- Mentor and guide junior analysts, fostering a data-driven culture within the organization.
- Stay current with industry trends, emerging technologies, and best practices in sports analytics.
- Manage multiple analytics projects simultaneously, ensuring timely delivery of results.
- Communicate effectively with individuals across different departments and levels of the organization.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- A minimum of 6 years of experience in sports analytics or a related field, with a strong understanding of sports performance and strategy.
- Proficiency in statistical programming languages such as R or Python, and experience with data manipulation libraries (e.g., pandas, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of machine learning techniques and their application in sports.
- Excellent analytical, critical thinking, and problem-solving skills.
- Demonstrated ability to communicate complex analytical concepts to both technical and non-technical audiences.
- Strong project management and leadership skills.
- Passion for sports and a deep understanding of various sports dynamics.
- Ability to work independently and manage workload effectively in a remote environment.
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Senior Marketing Analytics Manager
Posted 3 days ago
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Key responsibilities will include:
- Developing and implementing a comprehensive marketing analytics framework to measure campaign performance and business impact.
- Analyzing marketing data from various sources (e.g., digital advertising platforms, website analytics, CRM, social media) to identify trends and opportunities.
- Creating dashboards and reports to visualize key performance indicators (KPIs) and communicate insights to stakeholders.
- Providing data-driven recommendations for optimizing marketing spend, channel mix, and campaign targeting.
- Conducting A/B testing and other experimental designs to evaluate the effectiveness of marketing initiatives.
- Forecasting marketing performance and setting realistic goals and benchmarks.
- Collaborating with marketing, product, and sales teams to ensure alignment and drive cohesive strategies.
- Staying current with industry best practices in marketing analytics, data science, and relevant technologies.
- Identifying and implementing new tools and methodologies to enhance analytics capabilities.
- Mentoring junior analysts and fostering a data-centric culture within the marketing team.
Remote Sports Analytics Manager
Posted 5 days ago
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Job Description
Key Responsibilities:
- Lead and manage a team of sports analysts.
- Oversee the collection, processing, and analysis of sports performance data.
- Develop and implement advanced analytical models and strategies.
- Identify key performance indicators (KPIs) and track progress against goals.
- Create insightful reports and visualizations for coaches and athletes.
- Collaborate with coaching staff to integrate data-driven insights into training and strategy.
- Stay current with the latest trends and technologies in sports analytics.
- Manage data integrity and ensure the security of sensitive information.
- Present findings and recommendations to stakeholders.
- Master's degree in Sports Science, Data Science, Statistics, Mathematics, or a related field.
- Proven experience in sports analytics, performance analysis, or data science.
- Strong leadership and team management skills.
- Expertise in statistical analysis and modeling techniques.
- Proficiency in sports analytics software and data visualization tools.
- Strong programming skills in Python, R, and SQL.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively independently and as part of a remote team.
Sports Analytics Manager - Remote
Posted 7 days ago
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