1,014 Sports Analytics jobs in the United States
Sports Analytics Consultant
95814 Sacramento, California
$85000 Annually
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Our client, a leading sports analytics firm, is seeking a passionate and analytical Sports Analytics Consultant to join their team in Sacramento, California, US . This hybrid role will involve working with professional sports teams and organizations to leverage data and advanced analytics to improve performance, strategy, and decision-making. The ideal candidate will possess a strong understanding of sports, combined with expertise in data analysis, statistical modeling, and visualization tools. You will be responsible for collecting, cleaning, and analyzing large datasets related to player performance, game statistics, and scouting information. Responsibilities include developing predictive models, identifying key performance indicators (KPIs), and generating actionable insights to support coaching staff and management. You will work closely with clients to understand their unique challenges and translate complex data findings into clear, concise, and impactful reports and presentations. Experience with statistical software such as R, Python (with libraries like Pandas, NumPy, Scikit-learn), or SPSS is essential. Proficiency in data visualization tools like Tableau or Power BI is also highly desirable. The ability to communicate technical concepts to non-technical stakeholders is crucial. You will contribute to projects ranging from player recruitment and talent identification to in-game strategy and fan engagement. This role requires a creative problem-solver with a keen eye for detail and a passion for sports. The hybrid nature of this position allows for a balance of focused independent work and in-person collaboration with team members and clients in our Sacramento office.
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Sports Analytics Manager
48201 Detroit, Michigan
$95000 Annually
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Our client is seeking a highly analytical and sports-savvy Sports Analytics Manager to lead their data-driven insights team. This is a fully remote position, ideal for an individual passionate about sports and adept at leveraging data to enhance team performance, fan engagement, and strategic decision-making. You will be responsible for overseeing the collection, analysis, and interpretation of vast datasets related to player performance, game statistics, and fan behavior. Your insights will guide coaching staff, management, and marketing departments in making informed choices. The ideal candidate will have a strong background in statistical modeling, data visualization, and a deep understanding of various sports disciplines. You will lead and mentor a remote team of analysts, ensuring the delivery of actionable intelligence. This role demands excellent communication skills to convey complex findings clearly and concisely to non-technical stakeholders. You will play a pivotal role in shaping the future of sports strategy through robust data analysis.
Responsibilities:
Responsibilities:
- Lead the development and implementation of data analytics strategies for sports teams and leagues.
- Oversee the collection, cleaning, and processing of diverse sports-related data sets.
- Conduct advanced statistical analyses and predictive modeling to identify trends and insights.
- Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights.
- Collaborate with coaching staff, management, and marketing teams to translate data into actionable strategies.
- Mentor and manage a remote team of sports analysts, fostering their professional growth.
- Identify opportunities for new analytical approaches and data sources.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Present findings and recommendations to stakeholders at all levels of the organization.
- Ensure data integrity and accuracy throughout the analytics process.
- Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a related field, with at least 2 years in a management or lead role.
- Proven experience in statistical modeling, data mining, and machine learning techniques.
- Proficiency in data analysis tools and programming languages such as Python, R, SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their associated metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Experience managing and mentoring remote teams.
- A passion for sports and a data-driven approach to decision-making.
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1
Sports Analytics Manager
02108 Boston, Massachusetts
$115000 Annually
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Our client is seeking a passionate and data-driven Sports Analytics Manager to lead their analytics initiatives in a fully remote capacity. This role is ideal for an individual with a deep understanding of sports, coupled with advanced analytical and statistical modeling skills. You will be responsible for leveraging data to provide actionable insights that enhance team performance, strategy, and decision-making. The ideal candidate will have a proven ability to translate complex data into clear, concise recommendations for coaches, management, and other stakeholders. This is an exciting opportunity to make a significant impact on the competitive edge of our client's sports operations.
Key Responsibilities:
Qualifications:
This is a unique opportunity for a sports analytics expert to contribute at a high level, from anywhere, and influence the success of our client's athletic endeavors.
Key Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, team strategies, and game outcomes.
- Collect, clean, and manage large datasets from various sports-related sources.
- Visualize data and present findings and recommendations in a clear, compelling manner to stakeholders.
- Collaborate with coaching staff and management to identify key performance indicators and strategic opportunities.
- Stay abreast of the latest trends and innovations in sports analytics and sports science.
- Design and interpret experiments to test hypotheses related to player development and team performance.
- Build and maintain dashboards for real-time monitoring of key metrics.
- Mentor and guide junior analysts within the team.
- Ensure data integrity and the application of statistical rigor in all analyses.
- Contribute to strategic planning through data-informed insights.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- 5+ years of experience in sports analytics or a related field.
- Strong proficiency in statistical software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and database querying (SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of various sports and their associated metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Proven ability to work independently and manage projects in a remote setting.
This is a unique opportunity for a sports analytics expert to contribute at a high level, from anywhere, and influence the success of our client's athletic endeavors.
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2
Sports Analytics Manager
64108 Kansas City, Missouri
$95000 Annually
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Our client, a premier professional sports organization, is seeking a talented and passionate Sports Analytics Manager to join their team in **Kansas City, Missouri, US**. This role is instrumental in leveraging data to enhance team performance, optimize player development, and inform strategic decisions across various aspects of the organization. You will lead a team of analysts, overseeing the collection, analysis, and interpretation of vast datasets related to player statistics, game performance, training regimens, and fan engagement. The ideal candidate will possess a Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field, coupled with significant experience in sports analytics. A deep understanding of sports, coupled with advanced statistical modeling, machine learning techniques, and data visualization skills, is essential. You will work closely with coaches, general managers, scouting departments, and marketing teams to provide actionable insights that drive success. Responsibilities include developing predictive models, identifying performance trends, evaluating player acquisitions, and optimizing game strategies. This position demands excellent leadership, communication, and data storytelling abilities. The role involves a hybrid work model, balancing on-site analysis and team collaboration with the flexibility to work remotely. We are looking for an individual who is passionate about sports, possesses a rigorous analytical approach, and can translate complex data into clear, impactful recommendations. This is an exciting opportunity to contribute to the competitive edge of a leading sports franchise and shape the future of sports analytics.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports analysts.
- Develop and implement advanced statistical models and machine learning algorithms to analyze player and team performance.
- Identify key performance indicators (KPIs) and metrics for evaluating success.
- Collect, clean, and manage large datasets from various sources (e.g., game data, tracking data, physiological data).
- Provide actionable insights and recommendations to coaching staff, management, and other stakeholders.
- Create compelling data visualizations and reports to communicate findings effectively.
- Conduct research on emerging trends and technologies in sports analytics.
- Collaborate with scouting and player development departments to inform talent identification and strategy.
- Stay abreast of the competitive landscape and opponent tendencies.
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, with at least 2 years in a leadership role.
- Proven experience with statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R.
- Experience with database management and SQL.
- Strong understanding of various sports, with a focus on the relevant sport for the organization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation abilities.
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3
Sports Analytics Manager
27513 Whispering Pines, North Carolina
$120000 Annually
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Our client is seeking a dynamic and data-driven Sports Analytics Manager to lead their analytics initiatives in a fully remote capacity. This role is ideal for an individual passionate about sports and possessing advanced analytical skills. You will be responsible for leveraging data to provide actionable insights that enhance team performance, strategy, and fan engagement across various sports. Your work will involve analyzing player statistics, game data, scouting reports, and other relevant datasets to identify trends, predict outcomes, and optimize decision-making. You will collaborate closely with coaching staff, management, and business operations teams to translate complex data findings into practical strategies. The ideal candidate will have a strong background in statistical modeling, data visualization, and sports science, coupled with excellent communication skills to present findings effectively. This is a unique opportunity to shape the future of sports performance through advanced analytics.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced analytical models to support team strategy and performance optimization.
- Analyze player statistics, game data, and performance metrics to identify key insights and trends.
- Utilize data visualization tools to create compelling dashboards and reports for coaches and management.
- Collaborate with coaching staff to translate analytical findings into actionable on-field strategies.
- Work with scouting departments to evaluate talent and identify potential player acquisitions.
- Conduct predictive modeling for game outcomes, player performance, and competitive analysis.
- Explore and integrate new data sources and technologies to enhance analytical capabilities.
- Stay current with the latest trends and innovations in sports analytics and sports science.
- Manage and mentor a team of sports analysts.
- Communicate complex analytical findings clearly and effectively to non-technical stakeholders.
- Contribute to initiatives aimed at improving fan engagement and business operations through data insights.
Qualifications:
- Master's degree in Sports Analytics, Statistics, Data Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related analytical field.
- Proven experience in statistical modeling, machine learning, and data visualization.
- Proficiency in programming languages such as Python or R for data analysis.
- Experience with sports-specific data and performance metrics.
- Strong understanding of various sports, their rules, and strategic elements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to influence decision-making.
- Familiarity with sports analytics software and platforms is a plus.
- Ability to work effectively in a remote, collaborative team environment.
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4
Sports Analytics Manager
46204 Indianapolis, Indiana
$95000 Annually
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Posted 2 days ago
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Our client, a prominent professional sports organization, is looking for a talented and data-driven Sports Analytics Manager. This hybrid role combines on-site collaboration with remote work flexibility, allowing you to contribute to our strategic decision-making processes. You will lead the development and application of advanced analytics to gain insights into player performance, game strategy, and fan engagement. This position requires a strong quantitative background, excellent communication skills, and a deep passion for sports. Responsibilities include:
The ideal candidate will possess a Master's degree in Statistics, Data Science, Mathematics, Sports Management, or a related quantitative field, with at least 5 years of experience in sports analytics or a similar analytical role. Proven experience with statistical software (e.g., R, Python) and database management (e.g., SQL) is required. Strong knowledge of sports metrics and performance indicators is essential. Excellent communication, presentation, and interpersonal skills are necessary to effectively convey complex analytical findings to a diverse audience. This hybrid role requires regular presence at our facilities in Indianapolis, Indiana, US .
- Leading the development and implementation of data analytics strategies to support team performance and business objectives.
- Collecting, cleaning, and analyzing large datasets related to player statistics, game events, and fan behavior.
- Developing predictive models and statistical analyses to identify trends, forecast outcomes, and inform strategic decisions.
- Collaborating with coaching staff, scouting departments, and front office personnel to translate data insights into actionable recommendations.
- Creating compelling data visualizations and reports to communicate findings effectively to stakeholders.
- Staying abreast of the latest advancements in sports analytics, data science, and machine learning techniques.
- Managing and mentoring a team of junior analysts.
- Identifying opportunities for leveraging new data sources and analytical tools.
- Ensuring data integrity and the ethical use of analytical insights.
- Contributing to the overall analytical strategy of the organization.
The ideal candidate will possess a Master's degree in Statistics, Data Science, Mathematics, Sports Management, or a related quantitative field, with at least 5 years of experience in sports analytics or a similar analytical role. Proven experience with statistical software (e.g., R, Python) and database management (e.g., SQL) is required. Strong knowledge of sports metrics and performance indicators is essential. Excellent communication, presentation, and interpersonal skills are necessary to effectively convey complex analytical findings to a diverse audience. This hybrid role requires regular presence at our facilities in Indianapolis, Indiana, US .
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5
Sports Analytics Manager
21201 Baltimore, Maryland
$100000 Annually
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Posted 3 days ago
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Job Description
Our client, a prominent organization in the sports industry, is seeking an experienced Sports Analytics Manager to join their innovative team. This role will be based in **Baltimore, Maryland**, with a hybrid work arrangement, blending in-office collaboration with remote flexibility. You will be responsible for collecting, analyzing, and interpreting vast datasets related to athletic performance, game strategies, and fan engagement. The ideal candidate will possess a strong background in statistical modeling, data visualization, and predictive analytics, applied specifically within a sports context. Your insights will be crucial in informing coaching decisions, player development, scouting efforts, and strategic business planning. You will lead a team of analysts, guiding them in their research and ensuring the accuracy and relevance of their findings. Key responsibilities include developing and maintaining data infrastructure, creating dashboards and reports for stakeholders, identifying key performance indicators (KPIs), and proactively seeking opportunities to leverage data for competitive advantage. You should be adept at translating complex analytical results into actionable recommendations for non-technical audiences. A deep understanding of various sports, their rules, and the intricacies of performance metrics is essential. This position requires excellent communication, leadership, and project management skills. You will work closely with coaches, scouts, and front-office staff, fostering a data-driven culture. This is a unique opportunity to influence decision-making at the highest levels of professional sports and contribute to the success of the team.
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6
Sports Analytics Manager
63101 St. Louis, Missouri
$95000 Annually
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Posted 3 days ago
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Our client, a prominent organization in the St. Louis, Missouri, US sports industry, is seeking an experienced Sports Analytics Manager. This critical role will involve leveraging data to drive strategic decision-making, improve team performance, and enhance fan engagement across various sporting disciplines. The ideal candidate will possess a strong analytical background, extensive experience with statistical modeling and data visualization tools, and a deep understanding of sports dynamics. Responsibilities include collecting, cleaning, and analyzing large datasets related to player performance, game statistics, and fan behavior. You will develop predictive models, generate actionable insights, and present findings to coaching staff, management, and other stakeholders. Key duties involve collaborating with coaches and front office personnel to identify key performance indicators and tailor analytical approaches to specific needs. The successful candidate must be proficient in data analysis software (e.g., R, Python, SQL) and have a proven ability to translate complex data into clear, concise recommendations. A passion for sports and a proactive, results-oriented mindset are essential. This is a unique opportunity to contribute to the success of a leading sports entity and make a significant impact through data-driven insights.
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7
Sports Analytics Manager
10001 New York, New York
$115000 Annually
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Posted 4 days ago
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Job Description
Our client is looking for a dynamic and analytical Sports Analytics Manager to lead their insights division. This role will be instrumental in leveraging data to enhance team performance, strategy, and fan engagement across various sports disciplines. You will manage a team of data scientists and analysts, guiding them in the collection, processing, and interpretation of complex datasets related to player performance, game statistics, scouting data, and market trends. The ideal candidate will have a deep understanding of statistical modeling, machine learning techniques, and data visualization tools, coupled with a genuine passion for sports. Responsibilities include developing predictive models for player recruitment and game outcomes, creating performance dashboards for coaches and management, and identifying innovative ways to use data to gain a competitive edge. You will also be responsible for communicating analytical findings and strategic recommendations to key stakeholders, including executive leadership and coaching staff, in a clear and actionable manner. This role requires strong leadership skills, the ability to foster a collaborative team environment, and a commitment to driving data-informed decision-making within a fast-paced sports organization. Experience with sports-specific data platforms and a proven ability to translate complex analytical results into practical insights for non-technical audiences are essential. The ability to work effectively in a hybrid model, balancing in-office collaboration with remote flexibility, is key.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports data analysts and scientists.
- Develop and implement advanced analytical models to optimize team strategy and player performance.
- Oversee the collection, cleaning, and management of diverse sports datasets.
- Create compelling data visualizations and reports for coaching staff, management, and other stakeholders.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Conduct research on emerging trends in sports analytics and data science.
- Present analytical findings and strategic recommendations in a clear and concise manner.
- Collaborate with other departments (e.g., marketing, operations) to leverage data insights.
- Ensure data integrity and accuracy across all analytical initiatives.
- Stay current with the latest advancements in data analytics and sports technology.
- Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
- 5+ years of experience in data analytics, with a focus on sports or performance analysis.
- Proven experience in managing and leading analytical teams.
- Strong proficiency in statistical programming languages (e.g., Python, R) and database querying (e.g., SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of machine learning algorithms and their application.
- Excellent understanding of sports principles and performance metrics.
- Strong communication, presentation, and interpersonal skills.
- Ability to translate complex data into actionable business insights.
- Experience working in a hybrid remote/in-office setting.
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8
Sports Analytics Manager
49503 Grand Rapids, Michigan
$70000 Annually
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Posted 4 days ago
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Our client, a prominent professional sports franchise based in Grand Rapids, Michigan, US , is seeking a talented and data-driven Sports Analytics Manager. This role is critical for leveraging data to enhance team performance, strategy, and player development across various sports disciplines. The Sports Analytics Manager will be responsible for developing and implementing advanced analytical models, interpreting complex datasets, and providing actionable insights to coaching staff, front office personnel, and management. Key responsibilities include identifying key performance indicators, designing and conducting statistical analyses of game data, player statistics, and scouting reports, developing predictive models for player performance and game outcomes, and communicating findings clearly and effectively through reports and presentations. The ideal candidate will possess a Master's degree in Statistics, Data Science, Sports Analytics, or a related quantitative field, with at least four years of experience in sports analytics or a similar data-intensive role. Proficiency in statistical software packages (e.g., R, Python, SPSS) and database management (SQL) is essential. A deep understanding of sports (basketball, baseball, hockey, etc.) and a passion for leveraging data to gain a competitive edge are crucial. This role requires strong analytical, problem-solving, and communication skills, with the ability to translate complex data into accessible insights for non-technical stakeholders. You will work closely with coaches and players, requiring strong interpersonal skills and the ability to build trust. This position is located in Grand Rapids, Michigan, US , and offers a competitive salary, benefits, and the opportunity to contribute directly to the success of a leading sports organization. Join us and shape the future of sports performance analysis in Grand Rapids, Michigan, US .
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