2 Sports Data Analyst Performance Strategist Remote jobs in whatjobs
Sports Data Analyst & Performance Strategist (Remote)
Posted 10 days ago
Job Viewed
Job Description
Our client is looking for a dynamic and data-driven Sports Data Analyst & Performance Strategist to join their innovative, fully remote team. This role is perfect for an individual passionate about sports and possessing a strong analytical skillset to extract actionable insights from complex datasets. You will be responsible for collecting, processing, and analyzing performance data from various sports, including player statistics, team metrics, and match outcomes. Your insights will be crucial in informing strategic decisions related to team performance, player development, and game strategy. The ideal candidate will have a solid understanding of statistical analysis, data visualization techniques, and sports-specific analytics. Proficiency in tools like Python (with libraries like Pandas, NumPy, Scikit-learn), R, or SQL is essential, along with experience in creating compelling dashboards and reports. You will collaborate with coaches, performance staff, and management to identify key performance indicators (KPIs) and develop predictive models to forecast outcomes and identify areas for improvement. This role requires excellent communication skills to translate complex data findings into clear, concise recommendations for non-technical stakeholders. You must be a self-starter, capable of working independently and managing your time effectively in a remote setting. The ability to identify trends, patterns, and anomalies in sports data will be key to success. We are seeking someone who is proactive, curious, and dedicated to leveraging data to enhance athletic performance and strategic decision-making within the sports industry. This remote position offers a fantastic opportunity to contribute to athletic success and strategic planning for teams and organizations, with a focus on providing insights relevant to sports environments associated with **Nyeri, Nyeri, KE**, while the work is fully remote.
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Sports Data Analyst & Performance Strategist (Remote)
Posted 14 days ago
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Job Description
Our client is seeking a highly analytical and sports-savvy individual to join their team as a Sports Data Analyst & Performance Strategist. This is a fully remote role, offering flexibility and the chance to significantly impact athletic performance through data-driven insights. You will be responsible for collecting, analyzing, and interpreting vast amounts of sports data to identify trends, evaluate player and team performance, and develop effective strategies. The ideal candidate possesses a strong quantitative background, a deep understanding of various sports, and the ability to translate complex data into actionable recommendations for coaches and athletes.
Responsibilities:
Responsibilities:
- Collect, clean, and organize performance data from various sources, including wearable technology, video analysis, and statistical databases.
- Develop and implement statistical models to analyze player and team performance metrics.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Create compelling data visualizations and reports to communicate findings to coaches, athletes, and management.
- Provide data-driven insights and recommendations to optimize training programs, game strategies, and player development.
- Collaborate with coaching staff to understand their needs and translate them into data analysis requirements.
- Stay current with advancements in sports analytics tools, technologies, and methodologies.
- Evaluate the effectiveness of implemented strategies and make adjustments as needed.
- Contribute to the development of predictive models for player performance and injury risk.
- Maintain data integrity and ensure the security of sensitive performance information.
- Present findings and insights in a clear and concise manner, both written and verbal.
- Bachelor's degree in Statistics, Data Science, Sports Science, Kinesiology, or a related quantitative field; Master's degree preferred.
- Minimum of 4 years of experience in sports data analysis or performance analysis.
- Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, SciPy), R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of sports statistics, biomechanics, and performance principles.
- Familiarity with sports-specific data sources and analytics platforms is highly desirable.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Proven ability to work independently and manage time effectively in a remote work environment.
- Passion for sports and a commitment to leveraging data for athletic improvement.
This advertiser has chosen not to accept applicants from your region.
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