3 Remote Senior Sports Analytics Specialist jobs in whatjobs
Remote Senior Sports Analytics Specialist
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Sports Analytics Specialist to join their dynamic team. This is a fully remote position, offering flexibility and the opportunity to work from anywhere within Kenya. The ideal candidate will possess a deep understanding of sports data, statistical modeling, and data visualization techniques. You will be responsible for collecting, cleaning, and analyzing large datasets from various sports leagues and events. Your insights will directly influence strategic decision-making, player development, and performance optimization.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical models to identify trends, predict outcomes, and evaluate player performance.
- Collaborate with coaching staff and management to translate complex data findings into actionable insights and recommendations.
- Design and build dashboards and reports using data visualization tools to present findings clearly and concisely to stakeholders.
- Stay abreast of the latest trends and technologies in sports analytics and machine learning.
- Mentor junior analysts and contribute to the development of analytical best practices.
- Ensure data integrity and accuracy throughout the analytical process.
- Conduct ad-hoc analysis to support specific team initiatives and research questions.
- Manage multiple projects simultaneously, meeting deadlines and delivering high-quality results.
- Master's or Ph.D. in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- Proven experience (5+ years) in sports analytics or a similar data-intensive role.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., pandas, NumPy, scikit-learn).
- Expertise in SQL for data extraction and manipulation.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong understanding of various sports rules, strategies, and performance metrics.
- Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- A passion for sports and a keen eye for detail.
- Experience working in a remote-first environment is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Sports Analytics Specialist
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their dynamic team in a fully remote capacity. This role is crucial for leveraging data to enhance athletic performance, strategy, and decision-making within various sports disciplines. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to player performance, game statistics, and other relevant metrics. The ideal candidate possesses a strong quantitative background, a passion for sports, and expertise in statistical modeling, machine learning, and data visualization. Responsibilities include developing and implementing advanced analytical models, creating insightful reports and dashboards, and presenting findings to coaches, athletes, and management. You will work closely with sports teams and performance staff to identify key trends, opportunities for improvement, and potential areas of risk. This role demands excellent communication skills, with the ability to translate complex data insights into actionable recommendations. As a remote team member, you will manage your projects independently, collaborate effectively through virtual channels, and contribute to a data-centric culture. This is a unique opportunity to apply your analytical skills to the exciting world of sports and make a tangible impact on competitive outcomes. You will be at the forefront of using data to revolutionize sports performance. The successful candidate will be a proactive problem-solver, detail-oriented, and adept at working with diverse data sources and tools.
Qualifications:
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
- 5+ years of experience in sports analytics or a similar data analysis role.
- Proven expertise in statistical analysis, predictive modeling, and machine learning techniques.
- Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of various sports, their rules, and performance metrics.
- Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Passion for sports and a keen eye for detail.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Sports Analytics Specialist
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading innovator in sports technology and performance analysis, is seeking a highly skilled and motivated Remote Senior Sports Analytics Specialist to join their dynamic team. This is a fully remote position, offering flexibility and the opportunity to work from anywhere within Kenya. You will be instrumental in developing and implementing advanced analytical models that drive strategic decisions across various sports disciplines. Your expertise will directly impact player development, team performance, and competitive strategy. You will collaborate with coaches, athletes, and management to translate complex data into actionable insights, identifying trends, predicting outcomes, and evaluating performance metrics. Responsibilities include data collection, cleaning, and preprocessing from diverse sources such as wearable sensors, video analysis, and statistical databases. You will design, build, and maintain predictive models, machine learning algorithms, and data visualizations using cutting-edge tools and programming languages. Furthermore, you will conduct deep-dive analyses to uncover performance drivers, identify areas for improvement, and provide data-driven recommendations. Presenting your findings clearly and concisely to both technical and non-technical stakeholders will be a crucial part of your role. The ideal candidate possesses a strong academic background in a quantitative field such as Statistics, Data Science, Mathematics, Computer Science, or a related discipline, coupled with significant practical experience in sports analytics. Proficiency in programming languages like Python or R, along with experience in SQL for database management, is essential. Familiarity with data visualization tools (e.g., Tableau, Power BI) and a solid understanding of statistical modeling and machine learning techniques are required. A genuine passion for sports and a proven ability to communicate complex analytical concepts effectively are paramount. If you are a data-driven strategist with a love for sports and thrive in a remote, collaborative environment, this is the perfect opportunity for you to make a significant impact. This role is based remotely, with an emphasis on the Ruiru, Kiambu, KE region's talent pool, but open to qualified candidates nationwide.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and refine sophisticated analytical models for sports performance.
- Conduct in-depth data analysis to identify key performance indicators and trends.
- Build and maintain machine learning models for predictive analytics.
- Collaborate with cross-functional teams to implement data-driven strategies.
- Present complex findings to stakeholders in an understandable format.
- Ensure data integrity and accuracy throughout the analysis process.
- Stay abreast of the latest advancements in sports analytics and data science.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
- 5+ years of experience in sports analytics or a similar quantitative role.
- Expert proficiency in Python or R for data analysis and machine learning.
- Strong SQL skills for data querying and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent understanding of statistical methods and machine learning algorithms.
- Exceptional communication and presentation skills.
- A passion for sports and a deep understanding of athletic performance.
This advertiser has chosen not to accept applicants from your region.
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