What Jobs are available for Senior Sports Analytics Consultant Remote in Kenya?
Showing 5000+ Senior Sports Analytics Consultant Remote jobs in Kenya
Senior Sports Analytics Consultant - Remote
Posted 4 days ago
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Job Description
Responsibilities:
- Develop and implement advanced statistical models and analytical frameworks for sports performance data.
- Analyze player statistics, game footage, and biometric data to identify trends and insights.
- Provide strategic recommendations to coaches and management on team strategy, player development, and scouting.
- Utilize data visualization tools to present complex analytical findings in a clear and understandable format.
- Collaborate with sports teams to define key performance indicators (KPIs) and track progress towards goals.
- Conduct research on emerging trends and technologies in sports analytics.
- Develop predictive models for player performance, injury risk, and game outcomes.
- Work with clients to understand their unique challenges and tailor analytical solutions.
- Contribute to the development of proprietary analytical tools and methodologies.
- Communicate complex findings effectively to both technical and non-technical stakeholders.
- Stay abreast of the latest developments in sports science, data analytics, and performance metrics.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, data science, or a related field.
- Proven experience working with large datasets and advanced statistical modeling techniques.
- Proficiency in programming languages such as Python or R, and data manipulation tools (e.g., SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports performance metrics and game dynamics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex information clearly.
- Experience working in a remote team setting and collaborating effectively across distances.
- A passion for sports and a desire to leverage data to improve athletic performance and business outcomes.
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Sports Analytics Manager (Remote)
Posted 17 days ago
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Job Description
Key responsibilities include developing and implementing analytical frameworks, identifying key performance indicators (KPIs), and generating insightful reports and visualizations to communicate complex findings effectively. You will also manage a team of data analysts, providing mentorship and guidance to ensure high-quality output. Collaboration with coaching staff and performance teams across different geographic locations will be essential, requiring strong virtual communication and project management skills. The ideal candidate will have a strong background in sports science, statistics, or data science, with a proven ability to apply analytical methods to solve real-world sports problems. Proficiency in data analysis tools such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI) is required. A Bachelor's or Master's degree in a quantitative field and a minimum of 5 years of experience in sports analytics are necessary. A genuine passion for sports and a commitment to driving performance through data are essential. This remote role offers an exciting opportunity to shape the future of sports performance from anywhere in the world.
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Senior Sports Analytics Manager (Remote)
Posted 24 days ago
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Remote Sports Analytics Manager (Remote)
Posted 5 days ago
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Senior Sports Analytics Consultant - Remote Performance Analyst
Posted 9 days ago
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Job Description
Responsibilities:
- Collect, clean, and analyze diverse sports-related datasets.
- Develop and implement advanced statistical models and machine learning algorithms.
- Create compelling data visualizations to illustrate key findings and trends.
- Provide actionable insights to improve athletic performance, strategy, and player development.
- Collaborate with coaches, athletes, and management to understand their analytical needs.
- Identify opportunities for data-driven innovation within sports operations.
- Develop custom reports and dashboards for performance tracking.
- Stay abreast of the latest advancements in sports analytics and data science.
- Contribute to the development of analytical tools and platforms.
- Communicate complex analytical findings effectively to diverse audiences.
- 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 analysis and analytics, with a significant focus on sports analytics.
- Proficiency in statistical modeling, machine learning, and data visualization techniques.
- Experience with programming languages such as Python or R, and SQL.
- Strong understanding of sports performance metrics and data sources.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex data clearly.
- Demonstrated ability to work independently and collaboratively in a remote environment.
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Senior Sports Analytics Manager - Remote Insights
Posted 26 days ago
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Job Description
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 12 days ago
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Senior Sports Analytics and Strategy Consultant - Remote
Posted 2 days ago
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Job Description
Key Responsibilities:
- Analyze vast datasets related to player performance, team dynamics, fan behavior, and market trends to identify key insights and opportunities.
- Develop and implement advanced statistical models and predictive analytics to forecast outcomes and inform strategic decisions.
- Provide expert consultation to sports teams, leagues, and organizations on performance optimization, talent identification, and competitive strategy.
- Design and evaluate strategies for enhancing fan engagement, marketing effectiveness, and revenue generation.
- Create compelling data visualizations and reports to communicate complex findings and recommendations to stakeholders.
- Collaborate with clients to understand their unique challenges and develop tailored, data-driven solutions.
- Stay abreast of the latest trends and technologies in sports analytics, data science, and the broader sports industry.
- Present findings and strategic proposals to executive leadership and key decision-makers.
- Mentor junior analysts and contribute to the development of best practices within the consultancy.
- Contribute to business development efforts by identifying new opportunities and developing proposals.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Sports Management, Economics, or a related quantitative field.
- Minimum of 6-8 years of experience in sports analytics, data science, or a related strategic consulting role within the sports industry.
- Proven expertise in statistical modeling, machine learning techniques, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI).
- In-depth knowledge of various sports, their rules, performance metrics, and competitive landscapes.
- Strong understanding of business strategy and how data can be leveraged to achieve organizational goals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptive communication, presentation, and interpersonal skills, with the ability to clearly articulate complex ideas to diverse audiences.
- Demonstrated ability to work independently and collaboratively in a remote environment.
- Experience in client-facing roles and managing projects from inception to completion.
- Passion for sports and a commitment to driving innovation through data.
This fully remote opportunity offers a competitive remuneration package and the chance to work with leading organizations in the global sports arena. The nominal location for this role is **Thika, Kiambu, KE**, but it is fully remote.
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Supply Chain Analytics Manager (Remote)
Posted 25 days ago
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Job Description
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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Senior Marketing Analytics Manager - Remote
Posted 26 days ago
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Job Description
Key Responsibilities:
- Develop and maintain key performance indicators (KPIs) for all marketing channels and campaigns.
- Conduct in-depth analysis of marketing data from various sources (web analytics, CRM, ad platforms, etc.).
- Build and manage marketing dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
- Perform attribution modeling and ROI analysis to measure the effectiveness of marketing investments.
- Identify trends, opportunities, and challenges within the marketing data and provide strategic recommendations.
- Collaborate closely with marketing channel managers, product teams, and leadership to drive data-informed decisions.
- Develop A/B testing strategies and analyze test results to optimize campaign performance.
- Stay up-to-date with the latest analytical techniques and marketing technologies.
- Ensure data integrity and accuracy across all marketing data sources.
- Present complex analytical findings in a clear, concise, and compelling manner to remote audiences.
- Bachelor's or Master's degree in Marketing Analytics, Statistics, Economics, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in marketing analytics, data analysis, or a similar role.
- Advanced proficiency in SQL for data extraction and manipulation.
- Expertise in web analytics tools such as Google Analytics.
- Strong experience with data visualization tools like Tableau, Power BI, or Looker.
- Solid understanding of statistical concepts and techniques, including regression analysis.
- Experience with marketing automation platforms and CRM systems is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for effective remote collaboration and presentation.
- Ability to work independently and manage multiple projects simultaneously in a remote environment.
- Familiarity with A/B testing methodologies and optimization.
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