12 Senior Sports Analytics Specialist Remote jobs in whatjobs
Senior Sports Analytics Specialist (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading entity in the sports industry, is seeking a talented Senior Sports Analytics Specialist to join their fully remote team. This role requires a passionate individual with a strong quantitative background and a deep understanding of sports data. You will be responsible for analyzing performance data, identifying trends, developing predictive models, and providing actionable insights to enhance team strategy, player development, and game outcomes. The ideal candidate thrives on data exploration, possesses excellent statistical modeling skills, and can effectively communicate complex findings to diverse audiences within a virtual setting.
Responsibilities:
Qualifications:
This is a 100% remote role, offering significant flexibility. Our client is dedicated to building a high-performing, globally distributed team. You will be contributing to our sports initiatives, particularly those connected to **Ruiru, Kiambu, KE**, while operating entirely remotely.
Responsibilities:
- Collect, clean, and process large datasets from various sports-related sources (e.g., performance metrics, game statistics, player tracking data).
- Develop and implement statistical models and machine learning algorithms to analyze sports performance and predict outcomes.
- Identify key performance indicators (KPIs) and develop dashboards for monitoring and reporting.
- Collaborate with coaches, athletes, and management to understand their data needs and provide strategic insights.
- Translate complex analytical findings into clear, concise, and actionable recommendations.
- Design and evaluate experiments to test hypotheses related to player performance, strategy, and training.
- Stay current with the latest trends and advancements in sports analytics, data science, and sports technology.
- Communicate insights and findings effectively through reports, presentations, and visualizations.
- Contribute to the development of data-driven decision-making processes within the organization.
- Mentor junior analysts and foster a data-centric culture within the remote team.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, statistical modeling, or sports analytics.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of statistical modeling techniques, machine learning algorithms, and data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports, their rules, and performance metrics.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences in a remote setting.
- Proven ability to work independently, manage projects, and deliver insights in a virtual team environment.
- Experience with sports-specific data platforms is a plus.
This is a 100% remote role, offering significant flexibility. Our client is dedicated to building a high-performing, globally distributed team. You will be contributing to our sports initiatives, particularly those connected to **Ruiru, Kiambu, KE**, while operating entirely remotely.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Analytics Specialist (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their fully remote team. In this pivotal role, you will be responsible for leveraging advanced statistical techniques and data visualization tools to extract actionable insights from sports performance data. You will work closely with coaching staff and management to inform strategic decisions, identify talent, optimize training regimens, and enhance player development across various sports disciplines. The ideal candidate possesses a deep understanding of sports, advanced analytical skills, and the ability to communicate complex findings effectively in a remote setting.
Key Responsibilities:
Qualifications:
This remote position offers a unique opportunity to impact sports performance at a high level. If you are a seasoned sports analytics professional ready to contribute your expertise from a distance, especially to initiatives that could benefit athletes and teams associated with the Ongata Rongai, Kajiado, KE region, we encourage you to apply.
Key Responsibilities:
- Collect, clean, and analyze large datasets related to athlete performance, game statistics, and other relevant metrics.
- Develop and implement statistical models to identify trends, predict outcomes, and assess performance.
- Create compelling data visualizations and reports to communicate insights to stakeholders.
- Collaborate with coaches and team management to translate data insights into practical strategies.
- Identify key performance indicators (KPIs) and develop dashboards for real-time monitoring.
- Contribute to player scouting and talent identification processes through data analysis.
- Evaluate the effectiveness of training programs and game strategies using analytical methods.
- Stay current with advancements in sports analytics, data science, and relevant technologies.
- Maintain data integrity and ensure the security of sensitive performance information.
- Mentor junior analysts and contribute to building a data-driven culture within the remote organization.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a closely related field.
- Proficiency in statistical programming languages such as R or Python, and relevant libraries (e.g., Pandas, NumPy, SciPy).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports, rules, and common performance metrics across various disciplines.
- Excellent analytical, critical thinking, and problem-solving skills.
- Proven ability to communicate complex data findings clearly and concisely to non-technical audiences in a remote setting.
- Experience with database management (SQL) and big data technologies is a plus.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Passion for sports and a commitment to data-driven decision-making.
This remote position offers a unique opportunity to impact sports performance at a high level. If you are a seasoned sports analytics professional ready to contribute your expertise from a distance, especially to initiatives that could benefit athletes and teams associated with the Ongata Rongai, Kajiado, KE region, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
1
Senior Sports Analytics Specialist (Remote)
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Specialist to join their fully remote team. This role is pivotal in extracting actionable insights from vast datasets to enhance athletic performance, optimize team strategies, and improve fan engagement. The ideal candidate will have a deep understanding of sports dynamics, coupled with advanced statistical modeling and data visualization skills. You will work closely with coaches, athletes, and management to translate complex data into clear, impactful recommendations. This fully remote position requires strong self-discipline, excellent communication, and a passion for sports.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models to analyze player and team performance.
- Collect, clean, and manage large datasets from various sports-specific sources (e.g., tracking data, game statistics, biometric data).
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Identify key performance indicators (KPIs) and trends relevant to athletic success and strategic decision-making.
- Collaborate with coaching staff to develop game strategies and training plans based on data insights.
- Provide analytical support for player recruitment and talent identification.
- Stay current with the latest trends and technologies in sports analytics and performance science.
- Develop predictive models for various aspects of game performance and athlete well-being.
- Work with technology partners to refine data collection methods and analytical tools.
- Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Contribute to a data-driven culture within the sports organization.
- Mentor junior analysts and contribute to the team's knowledge base.
- Evaluate the effectiveness of implemented strategies through ongoing analysis.
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar quantitative analysis role.
- Proven experience in statistical modeling, data mining, and machine learning techniques.
- Proficiency in programming languages commonly used in data analysis (e.g., Python, R).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data concepts.
- Demonstrated ability to work independently and manage projects effectively in a remote environment.
- Experience with sports performance tracking software or systems is a plus.
- Passion for sports and a commitment to leveraging data for performance enhancement.
This advertiser has chosen not to accept applicants from your region.
2
Senior Sports Analytics Specialist (Remote)
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and passionate Senior Sports Analytics Specialist to join their leading, fully remote Leisure & Sports division. This exciting role involves leveraging data to gain insights into athletic performance, game strategies, and fan engagement. As a remote specialist, you will contribute to optimizing team performance and informing strategic decisions from anywhere.
Your responsibilities will include collecting, cleaning, and analyzing large datasets related to sports performance, player statistics, and game events. You will develop predictive models, identify key performance indicators (KPIs), and create insightful reports and visualizations to communicate findings to coaches, management, and other stakeholders. This role requires a deep understanding of statistical analysis, data mining techniques, and sports-specific metrics.
Key tasks involve designing and implementing analytical frameworks to evaluate player performance, assess training effectiveness, and scout potential talent. You will also contribute to the development of game strategy by analyzing opponent tendencies and identifying optimal tactical approaches. Collaboration with coaching staff and sports scientists to translate data-driven insights into actionable recommendations will be a crucial part of your role.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field, with a minimum of 5 years of experience in sports analytics. Proven experience in statistical modeling, data visualization tools (e.g., Tableau, Power BI), and programming languages such as Python or R is essential. A strong understanding of various sports, their rules, and relevant performance metrics is required.
Qualifications:
Your responsibilities will include collecting, cleaning, and analyzing large datasets related to sports performance, player statistics, and game events. You will develop predictive models, identify key performance indicators (KPIs), and create insightful reports and visualizations to communicate findings to coaches, management, and other stakeholders. This role requires a deep understanding of statistical analysis, data mining techniques, and sports-specific metrics.
Key tasks involve designing and implementing analytical frameworks to evaluate player performance, assess training effectiveness, and scout potential talent. You will also contribute to the development of game strategy by analyzing opponent tendencies and identifying optimal tactical approaches. Collaboration with coaching staff and sports scientists to translate data-driven insights into actionable recommendations will be a crucial part of your role.
The ideal candidate will possess a Bachelor's or Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field, with a minimum of 5 years of experience in sports analytics. Proven experience in statistical modeling, data visualization tools (e.g., Tableau, Power BI), and programming languages such as Python or R is essential. A strong understanding of various sports, their rules, and relevant performance metrics is required.
Qualifications:
- Bachelor's/Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics.
- Proficiency in statistical analysis, predictive modeling, and data mining.
- Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
- Strong programming skills in Python or R.
- In-depth knowledge of various sports and performance metrics.
- 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 projects effectively in a remote environment.
- Passion for sports and data-driven decision-making.
This advertiser has chosen not to accept applicants from your region.
3
Senior Sports Analytics Specialist - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client, a leader in the Leisure & Sports industry, is seeking a highly skilled and analytical Senior Sports Analytics Specialist to join their fully remote team. This role is dedicated to leveraging data to provide deep insights into athletic performance, game strategies, and fan engagement. The ideal candidate will possess a strong background in data analysis, statistical modeling, and a passion for sports. You will be responsible for collecting, cleaning, and analyzing large datasets related to athlete performance, team statistics, and market trends. Your findings will directly inform coaching decisions, player development strategies, and business operations. Proficiency in data visualization tools and programming languages commonly used in analytics (e.g., Python, R, SQL) is essential. This is an exciting opportunity to apply your analytical expertise to the dynamic world of sports from the convenience of a remote work environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, process, and analyze diverse sports-related data, including performance metrics, player statistics, and market data.
- Develop and implement statistical models to identify trends, predict outcomes, and evaluate strategies.
- Create compelling data visualizations and dashboards to communicate insights to coaches, management, and stakeholders.
- Provide data-driven recommendations to enhance athletic performance, training programs, and game strategies.
- Collaborate with coaches, athletes, and other performance staff to understand their data needs.
- Monitor and evaluate the effectiveness of implemented strategies.
- Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
- Contribute to the development of predictive models and simulation tools.
- Ensure data integrity and accuracy throughout the analysis process.
- Prepare reports and present findings to various audiences.
- Mentor junior analysts on the team.
Qualifications:
- Bachelor's degree in Data Science, Statistics, Sports Science, Mathematics, Computer Science, or a related quantitative field. Master's degree preferred.
- Minimum of 6 years of experience in data analysis, with a specialization in sports analytics or a related field.
- Proven expertise in statistical modeling, data mining, and machine learning techniques.
- Proficiency in programming languages such as Python or R, and database querying languages like SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of various sports and their associated performance metrics.
- 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 projects effectively in a remote setting.
- Passion for sports and a desire to contribute to athletic success.
This advertiser has chosen not to accept applicants from your region.
4
Senior Sports Analytics Specialist (Remote)
Posted 15 days ago
Job Viewed
Job Description
Our client is searching for a highly analytical and sports-savvy Senior Sports Analytics Specialist to join their remote team. This position is ideal for an individual passionate about sports and adept at transforming data into actionable insights. You will be responsible for collecting, cleaning, and analyzing large datasets related to athletic performance, game statistics, fan engagement, and operational efficiency within the sports sector. Your insights will directly influence strategic decision-making, player development, marketing campaigns, and fan experience initiatives. Key duties include developing predictive models, creating compelling data visualizations, and presenting complex findings in a clear and concise manner to stakeholders. You will work with various sports teams, leagues, and organizations, providing data-driven recommendations to enhance performance and business outcomes. The ideal candidate will possess a strong background in statistical analysis, data mining, and proficiency in programming languages such as Python or R, along with experience in SQL and data visualization tools (e.g., Tableau, Power BI). A deep understanding of various sports and their unique data points is crucial. This role is fully remote, offering the flexibility to work from anywhere, and requires strong self-discipline and excellent virtual communication skills. You will collaborate with cross-functional teams using digital collaboration platforms. The original location for this role is Garissa, Garissa, KE . We are looking for someone who can not only analyze data but also translate it into compelling narratives that drive change and improve outcomes. A Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field is required, along with a minimum of 5 years of experience in sports analytics or a related analytical role. If you are ready to leverage your analytical prowess to shape the future of sports, we want to hear from you.
This advertiser has chosen not to accept applicants from your region.
5
Senior Sports Analytics Specialist (Remote)
Posted 11 days ago
Job Viewed
Job Description
Our client is looking for a talented and experienced Senior Sports Analytics Specialist to join their innovative team. This position is fully remote, allowing you to contribute your expertise from anywhere in Kenya. You will be responsible for analyzing vast datasets related to various sports, identifying key performance indicators (KPIs), and providing actionable insights to enhance athlete performance, team strategies, and fan engagement. This role requires a deep understanding of statistical modeling, data visualization, and machine learning techniques applied to the sports domain. You will work closely with coaches, athletes, and management to translate complex data into understandable recommendations. Your responsibilities will include developing predictive models, evaluating training methodologies, and assessing game strategies. The ideal candidate possesses a strong passion for sports combined with exceptional analytical and problem-solving skills. You will utilize advanced software and tools to process and interpret data, ensuring accuracy and efficiency. This is a unique opportunity to shape how data influences decision-making in the competitive world of professional sports. You will also be involved in the development and implementation of new analytical frameworks and contribute to the ongoing research and development within the sports science field. Strong communication skills are essential to present findings clearly and concisely to diverse audiences, from technical staff to executive leadership. This role demands a proactive and curious mindset, always seeking to uncover new trends and opportunities within sports data. The ability to work independently and manage multiple projects simultaneously in a remote setting is crucial for success. You will play a pivotal role in helping our client achieve its performance goals through data-driven strategies. We are seeking individuals who can not only analyze data but also provide strategic guidance based on their findings. Collaboration with external partners and other departments may also be a requirement.
Location: Remote, with primary focus on insights relevant to teams and leagues associated with Naivasha, Nakuru, KE .
Location: Remote, with primary focus on insights relevant to teams and leagues associated with Naivasha, Nakuru, KE .
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6
Senior Sports Analytics Specialist (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is actively seeking a talented Senior Sports Analytics Specialist to join their remote-first team. This position offers an exciting opportunity to leverage data to drive performance and strategic decision-making within the sports industry. You will be responsible for collecting, analyzing, and interpreting complex datasets related to athletic performance, game statistics, and player metrics. Your insights will directly influence coaching strategies, player development, and competitive analysis.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze sports data.
- Collect, clean, and validate data from various sources, including performance trackers, game footage, and statistical databases.
- Translate complex analytical findings into clear, actionable insights for coaches, athletes, and management.
- Create compelling data visualizations and reports to communicate key trends and recommendations.
- Collaborate with sports science staff, coaches, and athletes to understand their analytical needs and provide tailored support.
- Monitor and evaluate the effectiveness of implemented strategies based on data analysis.
- Stay abreast of the latest developments in sports analytics, data science, and relevant technologies.
- Identify opportunities to leverage new data sources and analytical techniques to enhance performance.
- Contribute to the development of proprietary analytical tools and platforms.
- Ensure data integrity and confidentiality.
- Master's degree in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related data analysis role.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Strong experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).
- Demonstrated ability to apply statistical modeling and machine learning techniques to real-world problems.
- Deep understanding of various sports, their rules, and performance metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with sports performance tracking technology is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Senior Sports Analytics Specialist (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client is a cutting-edge sports technology company dedicated to enhancing athletic performance through data-driven insights. We are seeking a talented and passionate Senior Sports Analytics Specialist to join our fully remote team. In this role, you will leverage advanced analytical techniques to extract meaningful insights from vast datasets related to athlete performance, game statistics, and training regimens. Your work will directly influence coaching strategies, player development programs, and competitive decision-making. The ideal candidate will have a strong background in sports science, statistics, and data analysis, coupled with a deep understanding of various sports. You should be proficient in data visualization tools and statistical modeling software, and possess excellent communication skills to present complex findings to coaches, athletes, and management in an accessible manner.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and analyze large datasets from various sports-related sources (e.g., performance tracking devices, game statistics, video analysis).
- Develop and implement statistical models to identify key performance indicators (KPIs) and predict outcomes.
- Create compelling data visualizations and dashboards to communicate insights effectively.
- Provide actionable recommendations to coaches and athletes to optimize performance and strategy.
- Collaborate with sports scientists, coaches, and other stakeholders to understand their analytical needs.
- Design and evaluate experiments to test hypotheses related to training and performance.
- Stay current with the latest advancements in sports analytics, machine learning, and data science.
- Mentor junior analysts and contribute to the development of analytical frameworks.
- Ensure data integrity and accuracy throughout the analysis process.
- Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Master's or PhD degree in Sports Science, Statistics, Data Science, Biomechanics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related data analysis role.
- Proficiency in statistical programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports mechanics, physiology, and performance metrics.
- Familiarity with machine learning techniques and their application in sports.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
8
Senior Sports Analytics Specialist (Remote)
Posted 3 days ago
Job Viewed
Job Description
Our client, a pioneering entity at the intersection of sports, technology, and performance, is seeking a highly analytical and insightful Senior Sports Analytics Specialist to join their fully remote data science and performance analysis team. This role is instrumental in leveraging advanced statistical techniques and data modeling to uncover performance insights, inform strategic decision-making, and optimize athlete and team performance across various sports disciplines. You will work with extensive datasets generated from player tracking, game statistics, and performance metrics, translating complex data into actionable strategies for coaches, athletes, and management. The ideal candidate possesses a profound understanding of sports, advanced quantitative skills, and a passion for innovation in sports analytics.
Key Responsibilities:
Key Responsibilities:
- Develop and implement sophisticated analytical models to assess player performance, team strategy, and competitive dynamics.
- Collect, clean, and analyze large datasets from various sources, including player tracking systems, game statistics, and sensor data.
- Translate complex data findings into clear, concise, and actionable insights for coaches, athletes, and front-office staff.
- Create compelling visualizations and reports to communicate analytical outcomes and strategic recommendations.
- Collaborate with coaching staff, sports scientists, and performance analysts to integrate data-driven insights into training, game planning, and player development.
- Identify key performance indicators (KPIs) and develop measurement frameworks to track progress and evaluate the effectiveness of strategic initiatives.
- Stay abreast of the latest advancements in sports analytics, data science, machine learning, and relevant technologies.
- Contribute to the development of proprietary analytical tools and platforms.
- Conduct research into emerging trends and methodologies within sports science and analytics.
- Present findings and recommendations to senior management and other stakeholders.
- Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, performance analysis, or a closely related quantitative field.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports mechanics, strategy, and performance metrics within one or more major sports.
- Experience working with large datasets and statistical software packages (e.g., SPSS, SAS).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical audiences.
- Demonstrated ability to work independently and collaboratively in a remote team environment.
- Passion for sports and a drive to leverage data for performance improvement.
This advertiser has chosen not to accept applicants from your region.
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