2 Sports Data Analyst Remote jobs in whatjobs
Sports Data Analyst - Remote
Posted 19 days ago
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Job Description
Our client, a dynamic leader in the sports technology and analytics sector, is looking for a passionate and skilled Sports Data Analyst to join their innovative, fully remote team. This role is crucial for transforming raw sports data into actionable insights that enhance performance analysis, strategic decision-making, and fan engagement. You will work with diverse datasets from various sports, employing statistical methods and data visualization techniques to uncover trends and patterns. The ideal candidate has a strong analytical mindset, a deep understanding of sports, and a proven ability to communicate complex findings clearly.
Key Responsibilities:
The successful candidate will have a Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field. Proven experience in data analysis, preferably within the sports industry, is essential. Proficiency in data analysis tools and languages such as Python (Pandas, NumPy, Scikit-learn), R, SQL, and data visualization tools (e.g., Tableau, Power BI) is required. A strong understanding of sports rules and dynamics is highly advantageous. Excellent analytical, problem-solving, and communication skills are crucial for this remote position. Our client is committed to a remote-first culture that fosters collaboration and innovation.
Key Responsibilities:
- Collecting, cleaning, and processing large datasets from various sports events and sources.
- Performing statistical analysis to identify trends, patterns, and insights related to player performance, team strategies, and game outcomes.
- Developing and maintaining data visualizations and dashboards to communicate key findings to stakeholders.
- Collaborating with sports analysts, coaches, and performance staff to understand their data needs and provide relevant insights.
- Building predictive models to forecast game outcomes or player performance.
- Conducting research on new data sources and analytical methodologies.
- Ensuring data accuracy and integrity throughout the analysis process.
- Staying up-to-date with the latest trends and innovations in sports analytics.
- Contributing to the development of data-driven tools and reports.
- Presenting findings and recommendations in a clear and concise manner.
The successful candidate will have a Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field. Proven experience in data analysis, preferably within the sports industry, is essential. Proficiency in data analysis tools and languages such as Python (Pandas, NumPy, Scikit-learn), R, SQL, and data visualization tools (e.g., Tableau, Power BI) is required. A strong understanding of sports rules and dynamics is highly advantageous. Excellent analytical, problem-solving, and communication skills are crucial for this remote position. Our client is committed to a remote-first culture that fosters collaboration and innovation.
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Job Description
Our client, a leader in the sports technology and analytics sector, is looking for a passionate and analytical Sports Data Analyst to join their fully remote team. This role involves collecting, processing, and interpreting vast amounts of sports data to provide actionable insights and support strategic decision-making for teams, athletes, and media partners. You will work with various data sources, including performance metrics, game statistics, and fan engagement data, to identify trends, evaluate performance, and predict outcomes. Responsibilities include developing and maintaining data models, creating visualizations and reports, and communicating complex findings in a clear and concise manner to both technical and non-technical audiences. A strong understanding of statistical methods and data analysis techniques is essential. You should be proficient in data analysis tools such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI). The ideal candidate will have a deep passion for sports and a solid understanding of sports analytics principles. A Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field is required, along with at least 3 years of experience in data analysis, preferably within the sports industry. Excellent analytical, problem-solving, and communication skills are crucial for success in this remote role. You must be comfortable working independently, managing multiple projects, and meeting tight deadlines. Experience with machine learning techniques and predictive modeling is a plus. This is a unique opportunity to blend your love for sports with your analytical prowess, contributing to cutting-edge insights for our client, supporting their operations connected to **Naivasha, Nakuru, KE**.
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