12 Senior Sports Data Analyst Remote jobs in whatjobs
Senior Sports Data Analyst - Remote
Posted 20 days ago
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Job Description
Our client, a leading organization in the leisure and sports industry, is seeking a highly analytical and data-driven Senior Sports Data Analyst to join their fully remote team. This role is pivotal in extracting actionable insights from complex sports datasets to inform strategy, enhance performance, and drive decision-making across various sporting disciplines. You will be responsible for collecting, cleaning, processing, and analyzing vast amounts of sports-related data, including performance metrics, player statistics, game events, and fan engagement data. The ideal candidate will possess a strong statistical background, advanced proficiency in data analysis tools and programming languages (e.g., Python, R, SQL), and extensive experience in sports analytics. You will work closely with coaches, strategists, performance analysts, and marketing teams to identify key trends, develop predictive models, and create compelling visualizations that communicate findings effectively. Key responsibilities include designing and implementing data collection frameworks, building dashboards, and providing ongoing performance reports. You should be adept at identifying patterns, uncovering hidden insights, and translating raw data into clear, concise recommendations. This position requires exceptional problem-solving skills, a meticulous attention to detail, and the ability to work independently in a fast-paced, collaborative remote environment. You will contribute to strategic planning, scouting, talent identification, and game strategy development. This is an exciting opportunity to leverage your passion for sports and data expertise to make a significant impact on performance and engagement within the industry. If you are a seasoned data professional with a deep understanding of sports and a talent for uncovering meaningful insights, we encourage you to apply. This role is based in **Embu, Embu, KE**, and is offered as a fully remote position.
Responsibilities:
Responsibilities:
- Collect, clean, and analyze large datasets related to sports performance and fan engagement.
- Develop and implement statistical models and predictive algorithms.
- Create compelling data visualizations and reports for stakeholders.
- Collaborate with coaches, strategists, and performance analysts to identify key insights.
- Provide data-driven recommendations to enhance team performance and fan experience.
- Identify trends, patterns, and anomalies in sports data.
- Design and manage data collection processes and databases.
- Stay current with advancements in sports analytics and data science.
- Communicate complex findings clearly and effectively to diverse audiences.
- Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a specialization in sports analytics.
- Proficiency in programming languages such as Python or R, and SQL.
- Strong knowledge of statistical modeling, machine learning, and data mining techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote setting.
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Senior Sports Data Analyst - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading innovator in the sports analytics space, is looking for a highly analytical and passionate Senior Sports Data Analyst to join their fully remote team. This role is perfect for an individual who lives and breathes sports statistics and possesses the technical acumen to extract actionable insights from vast datasets. You will be responsible for analyzing performance metrics, identifying trends, and providing data-driven recommendations to enhance athletic performance, game strategies, and fan engagement. The ideal candidate will have a strong background in statistical modeling, data visualization, and a deep understanding of various sports.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports sources, including live game data, historical records, and athlete performance trackers.
- Develop and implement advanced statistical models to analyze player and team performance, identify key performance indicators (KPIs), and predict outcomes.
- Create compelling data visualizations and dashboards to communicate complex findings to coaches, management, and other stakeholders.
- Collaborate with coaching staff and performance teams to translate data insights into actionable strategies for training, player development, and game planning.
- Identify opportunities for innovation in data collection, analysis techniques, and reporting methods.
- Stay up-to-date with the latest trends and technologies in sports analytics and data science.
- Design and conduct A/B tests and experiments to evaluate the impact of various strategies and interventions.
- Present findings and recommendations clearly and persuasively to both technical and non-technical audiences.
- Mentor junior analysts and contribute to the development of a data-centric culture.
- Ensure data integrity and accuracy throughout all analysis processes.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Sports Science, or a related quantitative field.
- Minimum of 6 years of experience in sports data analysis or a similar analytical role.
- Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R.
- Experience with database management (SQL) and data warehousing concepts.
- Strong understanding of sports rules, strategies, and performance metrics across multiple disciplines.
- Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Proven ability to work effectively in a fully remote, collaborative environment.
- Strong written and verbal communication skills.
- Experience with machine learning techniques applied to sports data is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a passionate and analytical Senior Sports Data Analyst to enhance their sports performance and fan engagement initiatives. This position is fully remote, allowing you to analyze athletic data from anywhere. You will be responsible for collecting, processing, and interpreting vast amounts of sports-related data to provide actionable insights for coaches, athletes, and management. Your work will involve developing advanced analytical models, performance metrics, and predictive strategies to gain a competitive edge. The ideal candidate will possess a deep understanding of sports, strong statistical modeling skills, and expertise in data visualization tools.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and manage diverse sports datasets, including player statistics, game events, and performance metrics.
- Develop and implement statistical models to analyze player and team performance, identify trends, and forecast outcomes.
- Create insightful dashboards and reports to communicate findings to coaches, athletes, and stakeholders.
- Collaborate with sports science teams to translate data insights into actionable training and strategy recommendations.
- Design and evaluate key performance indicators (KPIs) specific to various sports disciplines.
- Utilize data visualization tools to present complex information in an easily understandable format.
- Stay abreast of the latest advancements in sports analytics, data science, and relevant technologies.
- Identify opportunities to leverage data for improving player development, injury prevention, and strategic decision-making.
- Ensure data integrity and accuracy throughout the analysis process.
- Potentially contribute to scouting and recruitment analysis through data-driven insights.
- Bachelor's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in sports analytics or a closely related data analysis role.
- Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.
- Proficiency in data analysis and visualization tools such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, SQL, Tableau, or Power BI.
- A deep passion for and knowledge of various sports.
- Excellent analytical, critical thinking, and problem-solving skills.
- Effective communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently, manage multiple projects, and deliver results in a remote setting.
- Experience with sports-specific data sources and analytics platforms is a significant advantage.
- Must be legally authorized to work in Kenya.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge sports analytics company, is seeking a highly analytical and passionate Senior Sports Data Analyst to join their fully remote team. This role is ideal for someone who thrives on uncovering insights from complex datasets and has a profound understanding of sports performance metrics. You will be responsible for collecting, cleaning, analyzing, and interpreting vast amounts of sports data to provide actionable recommendations for teams, athletes, and stakeholders. The ideal candidate possesses strong statistical modeling skills, proficiency in data visualization tools, and a deep knowledge of various sports. This is a remote-first position offering the flexibility to work from anywhere while contributing to high-level sports decision-making.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports sources (e.g., game statistics, player tracking, biometric data).
- Develop and apply statistical models and machine learning algorithms to analyze player and team performance.
- Identify key performance indicators (KPIs) and trends that can provide a competitive advantage.
- Create compelling data visualizations and dashboards to communicate findings to coaches, managers, and other stakeholders.
- Provide data-driven insights and recommendations to support strategic decisions in areas such as player development, game strategy, and scouting.
- Collaborate with sports professionals to understand their data needs and tailor analyses accordingly.
- Stay up-to-date with the latest advancements in sports analytics, data science, and relevant technologies.
- Contribute to the development of proprietary analytical tools and methodologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Present complex findings in a clear and concise manner to both technical and non-technical audiences.
- Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a specialization in sports analytics.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with SQL for data extraction and manipulation.
- Strong understanding of statistical concepts, modeling techniques, and machine learning algorithms.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- In-depth knowledge of various sports, including their rules, strategies, and key performance metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex data insights clearly.
- Proven ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a dynamic leader in sports analytics, is looking for a highly skilled Senior Sports Data Analyst to join their remote team. This position offers the flexibility to work from anywhere, contributing to data-driven decision-making in the world of sports. You will be responsible for collecting, cleaning, analyzing, and interpreting complex sports datasets to provide actionable insights for coaches, athletes, and management. Key responsibilities include developing predictive models, designing performance metrics, creating insightful visualizations, and communicating findings clearly and effectively. The ideal candidate will possess a strong background in statistics, data science, and a deep passion for sports. Proven experience with data analysis tools and programming languages such as Python or R, and SQL is essential. You will collaborate with various stakeholders to understand their analytical needs and translate them into robust data solutions. This role requires exceptional analytical, problem-solving, and communication skills, with the ability to work autonomously in a remote environment. You will contribute to the development of innovative analytical strategies that enhance team performance and strategic planning. Staying abreast of the latest trends in sports analytics and relevant technologies is crucial. This is an exciting opportunity to leverage your expertise in data to make a tangible impact on athletic performance and sports strategy. Your insights will help shape the future of sports performance analysis. We are seeking an individual who is detail-oriented, results-driven, and eager to contribute to a high-performing remote team dedicated to advancing sports intelligence. Embrace the challenge of uncovering hidden patterns and driving competitive advantages through data.
This advertiser has chosen not to accept applicants from your region.
4
Senior Sports Data Analyst (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading sports analytics firm, is seeking a talented Senior Sports Data Analyst to join their fully remote team. This role is pivotal in transforming vast amounts of sports data into actionable insights that inform strategic decisions for sports organizations, media partners, and betting platforms. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets from various sports, developing predictive models, and communicating findings effectively. The ideal candidate possesses a strong background in statistics, data science, and a deep passion for sports. You will work with cutting-edge tools and technologies to uncover patterns, evaluate player performance, optimize team strategies, and enhance fan engagement. This position offers the flexibility to work from home while contributing to the future of sports analytics.
Responsibilities:
Responsibilities:
- Collect, clean, and process large, complex datasets from various sports leagues and events.
- Perform in-depth statistical analysis to identify trends, patterns, and performance metrics.
- Develop and implement advanced statistical and machine learning models to predict outcomes, evaluate player performance, and optimize strategies.
- Visualize data and present findings in a clear, concise, and compelling manner to clients and stakeholders.
- Collaborate with clients (sports teams, media companies, betting operators) to understand their data needs and deliver tailored insights.
- Stay current with the latest advancements in data science, sports analytics, and relevant technologies.
- Develop and maintain robust data pipelines and analytical frameworks.
- Identify opportunities to improve data collection, processing, and analytical methodologies.
- Contribute to the development of analytical products and services.
- Communicate complex analytical concepts effectively to both technical and non-technical audiences.
- Ensure data integrity and accuracy throughout the analytical process.
- Master's degree or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in data analysis or data science, with a significant focus on sports analytics.
- Proven expertise in statistical modeling, machine learning techniques, and data visualization tools.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with database management and SQL.
- Strong understanding of sports rules, strategies, and performance metrics across multiple disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey complex findings clearly.
- Ability to work independently, manage priorities, and meet deadlines in a remote work environment.
- Experience with big data technologies (e.g., Spark) is a plus.
- A genuine passion for sports and a desire to leverage data to drive innovation in the industry.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst (Remote)
Posted 16 days ago
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Job Description
Our client, a leading entity in the sports analytics and performance sector, is actively seeking a highly analytical and experienced Senior Sports Data Analyst to join their dynamic, fully remote team. This role is crucial for transforming raw sports data into actionable insights that enhance team performance, strategy, and player development. The ideal candidate will possess a strong background in data science, statistics, and a profound passion for sports. You will be responsible for collecting, cleaning, and analyzing large datasets from various sporting events and player statistics. Your work will involve developing predictive models, identifying key performance indicators (KPIs), and creating compelling visualizations and reports for coaches, athletes, and management. Proficiency in programming languages like Python or R, along with experience in statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI), is essential. You will collaborate closely with sports scientists, coaches, and other analysts to understand their analytical needs and deliver tailored insights. This position requires exceptional attention to detail, strong critical thinking, and the ability to communicate complex analytical findings clearly and concisely to both technical and non-technical audiences. The ability to work independently, manage multiple analytical projects, and thrive in a fast-paced, remote environment is paramount. This is an exciting opportunity to leverage your data expertise to make a tangible impact on athletic performance and sports strategy. The geographical reference for this role is **Kericho, Kericho, KE**, however, the position is 100% remote.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and preprocess large volumes of sports data from various sources.
- Conduct in-depth statistical analysis of game data, player performance, and team strategies.
- Develop and implement machine learning models for performance prediction and insights.
- Create compelling data visualizations and dashboards to communicate findings.
- Generate regular reports and presentations for coaching staff, athletes, and management.
- Identify key performance indicators (KPIs) and trends relevant to athletic success.
- Collaborate with sports scientists and coaches to define analytical requirements.
- Stay abreast of the latest trends and advancements in sports analytics and data science.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of innovative analytical tools and methodologies.
- Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a specialization in sports analytics.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of sports rules, strategies, and performance metrics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to explain complex findings.
- Ability to work independently and manage multiple projects in a remote setting.
- Demonstrated passion for sports and data-driven decision-making.
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Senior Sports Data Analyst - Remote
Posted 18 days ago
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Job Description
Our client, a cutting-edge sports analytics firm, is seeking a highly analytical and experienced Senior Sports Data Analyst to join their remote team. You will play a pivotal role in collecting, processing, and interpreting vast amounts of sports data to provide actionable insights that drive strategic decision-making for sports organizations, teams, and athletes. Your responsibilities will include designing and implementing data collection strategies, developing advanced statistical models, creating compelling data visualizations, and communicating complex findings to non-technical stakeholders. You will work with a variety of sports data sources, including performance metrics, biomechanical data, scouting reports, and fan engagement analytics. The ideal candidate will possess a strong quantitative background, with expertise in statistical analysis, machine learning, and data mining techniques. Proficiency in programming languages such as Python or R, and experience with SQL databases and data visualization tools (e.g., Tableau, Power BI) are essential. A deep understanding of various sports, their rules, and key performance indicators is highly desirable. You should have a proven track record of delivering data-driven insights that have had a tangible impact on sports performance or business outcomes. Excellent communication and presentation skills are critical, enabling you to translate complex data into clear, concise, and impactful recommendations. A Master's degree or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field, coupled with 5+ years of experience in sports analytics or a similar data-intensive role, is required. If you are a data-driven innovator passionate about the intersection of sports and technology, looking for a challenging remote opportunity, we encourage you to apply. Your analytical prowess will be key to shaping the future of sports performance.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst - Remote
Posted 17 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and passionate Senior Sports Data Analyst to join their growing team. This is a fully remote position, allowing you to leverage your expertise from anywhere. The ideal candidate will have a deep understanding of sports, combined with advanced statistical modeling and data analysis skills. You will be responsible for collecting, cleaning, and analyzing large datasets related to athletic performance, game statistics, and player data across various sports. Your insights will be crucial in identifying trends, evaluating player performance, informing strategic decisions for teams or sports organizations, and potentially developing predictive models. This role demands strong proficiency in data analysis tools and programming languages such as Python or R, along with experience in sports analytics platforms. Key responsibilities include developing dashboards and visualizations to communicate findings, conducting statistical analysis of game outcomes, player metrics, and team strategies, and collaborating with coaches, scouts, and management to translate data into actionable insights. The ability to work independently, manage multiple projects, and effectively communicate complex analytical results to both technical and non-technical audiences is essential. This is a fantastic opportunity for a data-driven sports enthusiast to make a significant impact in a remote capacity. While this role supports operations and initiatives that may involve sports activities in Ruiru, Kiambu, KE , the position is entirely remote, offering significant flexibility. Our client is committed to advancing the understanding and application of data in the sports world.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports sources.
- Perform statistical analysis on player performance, team strategies, and game outcomes.
- Develop and maintain data models and algorithms for predictive analytics.
- Create compelling data visualizations and dashboards to communicate insights.
- Collaborate with coaches, athletes, and management to identify key performance indicators (KPIs) and analytical needs.
- Translate complex data findings into actionable recommendations for strategic decision-making.
- Stay abreast of new technologies and methodologies in sports analytics.
- Ensure data integrity and accuracy throughout the analysis process.
- Prepare detailed reports and presentations on analytical findings.
- Contribute to the development of data-driven strategies for sports performance improvement.
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a specialization in sports analytics preferred.
- Proficiency in data analysis languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with SQL databases and data warehousing concepts.
- Strong understanding of statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
- Passion for sports and a solid understanding of sports rules and dynamics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, able to convey technical information clearly to diverse audiences.
- Ability to work independently and manage projects effectively in a remote setting.
- Familiarity with sports performance tracking systems is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Data Analyst (Remote)
Posted 17 days ago
Job Viewed
Job Description
Our client, a premier sports analytics firm dedicated to revolutionizing performance insights, is actively seeking an accomplished Senior Sports Data Analyst to join their fully remote analytics division. This pivotal role involves the deep dive into vast datasets generated from athletic performance, competitor analysis, and fan engagement to uncover actionable insights that drive strategic decision-making for sports organizations and media partners. The ideal candidate possesses a strong quantitative background, exceptional analytical skills, and a profound understanding of sports, statistics, and data science methodologies. You will be responsible for developing advanced analytical models, creating compelling visualizations, and communicating complex findings to stakeholders with varying levels of technical expertise. This position offers a unique opportunity to work on cutting-edge projects at the intersection of sports, technology, and data, all from the convenience of your home office. You will collaborate with a global team of analysts, data scientists, and sports professionals, contributing to the optimization of player development, game strategy, and fan experience. We are looking for a passionate, detail-oriented individual who can transform raw data into strategic advantages. Your ability to identify trends, predict outcomes, and present data-driven recommendations will be paramount. This role demands a forward-thinking mind capable of pushing the boundaries of sports analytics. This is an excellent opportunity for a seasoned analyst to apply their expertise remotely, impacting the world of sports originating from **Kitale, Trans-Nzoia, KE**.
Responsibilities:
Responsibilities:
- Collect, clean, and analyze large datasets from various sports sources (e.g., player performance metrics, game statistics, tracking data).
- Develop and implement statistical models and machine learning algorithms to predict outcomes, identify trends, and optimize performance.
- Create compelling data visualizations and dashboards to communicate insights effectively to coaches, athletes, and management.
- Collaborate with sports teams and organizations to understand their analytical needs and deliver tailored solutions.
- Identify key performance indicators (KPIs) and track progress against strategic goals.
- Conduct in-depth research on sports-related data trends and emerging analytical techniques.
- Present complex analytical findings and recommendations to diverse audiences in a clear and concise manner.
- Stay current with the latest advancements in data science, sports analytics, and relevant technologies.
- Mentor junior analysts and contribute to the team's knowledge base.
- Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- A minimum of 7 years of professional experience in data analysis, with a significant focus on sports analytics.
- Expertise in statistical modeling, machine learning, and predictive analytics.
- Proficiency in programming languages such as Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports rules, strategies, and performance metrics across multiple disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data insights.
- Proven ability to work effectively in a remote, collaborative environment.
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