7 Senior Remote Sports Analytics Specialist jobs in whatjobs
Senior Remote Sports Analytics Specialist
Posted 18 days ago
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Job Description
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.
Senior Remote Sports Analytics Specialist
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and manage large datasets from various sports events and performance metrics.
- Perform advanced statistical analysis to identify trends, patterns, and insights in sports performance.
- Develop and implement predictive models for player and team performance.
- Evaluate the effectiveness of training programs and game strategies.
- Visualize data and create comprehensive reports for coaches, athletes, and management.
- Collaborate with sports professionals to understand their analytical needs and provide tailored solutions.
- Stay current with the latest advancements in sports analytics and data science methodologies.
- Contribute to the development of analytical tools and dashboards.
- Communicate complex findings clearly and concisely in a remote setting.
- Identify opportunities to leverage data for competitive advantage.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
- 5+ years of experience in sports analytics or data analysis.
- Proficiency in statistical programming languages (Python, R) and SQL.
- Experience with data visualization tools (Tableau, Power BI).
- Strong understanding of statistical modeling and machine learning techniques.
- Knowledge of sports performance metrics and analytical frameworks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills for remote delivery.
- Ability to work independently and manage projects in a remote environment.
- A genuine passion for sports and data-driven decision-making.
Senior Remote Sports Analytics Specialist
Posted 17 days ago
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Job Description
Key Responsibilities:
- Develop and implement advanced analytical models to assess player and team performance.
- Collect, clean, and manage large datasets from various sports sources.
- Identify key performance indicators (KPIs) and track trends to provide strategic recommendations.
- Create compelling data visualizations and reports for coaches, management, and stakeholders.
- Collaborate with coaching staff to translate data insights into practical game strategies.
- Contribute to scouting and player evaluation processes through data analysis.
- Analyze fan engagement data to inform marketing and communication strategies.
- Stay abreast of emerging technologies and methodologies in sports analytics.
- Mentor junior analysts and contribute to the development of the analytics team.
- Present findings and insights clearly and concisely to diverse audiences.
Senior Remote Sports Analytics Specialist
Posted 17 days ago
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Job Description
The ideal candidate will have a strong quantitative background, with experience in statistical modeling, machine learning, and data visualization tools (e.g., Python, R, Tableau, Power BI). A genuine passion for sports and a comprehensive understanding of various sports methodologies are essential. You should be adept at identifying key performance indicators (KPIs) and translating raw data into actionable strategies. Excellent communication and presentation skills are required to effectively convey findings and recommendations to diverse stakeholders, including non-technical audiences. This role demands a proactive, self-motivated individual who can work independently and manage multiple projects concurrently in a remote environment. You must be detail-oriented, results-driven, and eager to contribute to innovative solutions within the leisure and sports industry. Our client is committed to using data to achieve excellence and provide unparalleled experiences, and this role is central to that mission. The company's main operational focus is in Mlolongo, Machakos, KE , but this position is fully remote.
Senior Remote Sports Analytics Specialist
Posted 14 days ago
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Job Description
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze sports data.
- Analyze player performance data to identify trends, strengths, and weaknesses.
- Create predictive models for game outcomes, player performance, and injury risk.
- Provide data-driven insights and actionable recommendations to coaching staff and management.
- Design and develop dashboards and reports for visualizing key performance indicators (KPIs).
- Collaborate with athletes and coaches to understand their data needs and provide tailored analysis.
- Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Manage and maintain sports databases, ensuring data integrity and accuracy.
- Communicate complex analytical findings clearly and concisely to diverse audiences.
- Contribute to strategic planning and decision-making processes through insightful data analysis.
- Master's degree in Data Science, Statistics, Sports Science, or a related quantitative field.
- 5+ years of experience in sports analytics, data science, or a similar analytical role.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong understanding of statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
- Knowledge of various sports data sources and analytics platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders.
- Proven ability to work independently and manage multiple projects in a remote setting.
- Passion for sports and a strong understanding of athletic performance metrics.
- Experience with SQL and database management.
Senior Remote Sports Analytics Specialist
Posted 16 days ago
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Job Description
Senior Remote Sports Analytics Specialist
Posted 9 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and organize large datasets related to sports performance and analytics.
- Apply statistical methods and machine learning techniques to analyze data.
- Develop predictive models to forecast game outcomes and player performance.
- Create insightful visualizations and reports to communicate findings to stakeholders.
- Collaborate with coaches and athletes to understand their needs and provide data-driven recommendations.
- Identify key performance indicators (KPIs) and track progress towards team goals.
- Research and evaluate new data sources and analytical tools.
- Stay current with advancements in sports analytics and data science.
- Contribute to strategic decision-making through expert data interpretation.
- Maintain data integrity and ensure confidentiality of sensitive information.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related data analysis role.
- Proven expertise in statistical modeling, data mining, and machine learning techniques.
- Proficiency in programming languages commonly used in data science (e.g., R, Python, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical information clearly and concisely.
- Demonstrated ability to work independently and as part of a remote team.
- Passion for sports and a keen interest in performance optimization.
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