279 Sports Betting Platforms jobs in the United States
Senior Sports Analyst
Posted today
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Job Description
Responsibilities:
- Collect, clean, and analyze large datasets related to sports performance, game statistics, player analytics, and betting markets.
- Develop and refine statistical models to predict game outcomes, player performance, and other key sports metrics.
- Generate insightful reports, visualizations, and presentations summarizing complex data findings for both technical and non-technical audiences.
- Collaborate with editorial teams to provide data-driven context and analysis for articles, broadcasts, and social media content.
- Assist in the development and evaluation of fantasy sports strategies and tools.
- Monitor industry trends and competitor analysis within the sports analytics space.
- Identify emerging patterns and anomalies in sports data to uncover unique insights.
- Contribute to the continuous improvement of data collection and analysis methodologies.
- Stay up-to-date with the latest advancements in sports analytics, statistics, and relevant software.
- Provide expert commentary and insights for internal stakeholders and potentially external media engagements.
- Work with product teams to identify opportunities for data-driven feature development.
- Ensure data integrity and accuracy throughout all analytical processes.
- Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Sports Management, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, data analysis, or statistical modeling, with a strong passion for sports.
- Proficiency in statistical programming languages such as R or Python.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Solid understanding of various statistical techniques, including regression analysis, predictive modeling, and time-series analysis.
- Familiarity with sports rules, strategies, and common performance metrics across multiple major sports leagues (e.g., NFL, NBA, MLB, Soccer).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey complex findings clearly.
- Ability to work independently and manage projects effectively in a remote setting.
- Experience with database querying (SQL) is a plus.
Senior Sports Analyst
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct comprehensive data analysis to identify trends, patterns, and insights across various sports leagues and events.
- Develop and maintain performance metrics and key performance indicators (KPIs) for athletes, teams, and strategic initiatives.
- Create detailed reports and visualizations to communicate findings to stakeholders, including coaches, management, and marketing teams.
- Collaborate with cross-functional teams to define data requirements and analytical needs.
- Implement and refine statistical models for player evaluation, game strategy, and fan engagement.
- Stay abreast of the latest advancements in sports analytics technology and methodologies.
- Mentor junior analysts and contribute to the development of a data-driven culture.
- Ensure data integrity and accuracy throughout the analysis process.
- Present findings and recommendations clearly and persuasively in both written and verbal formats.
- Contribute to the development of predictive models for player performance and event outcomes.
- Bachelor's or Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar data analysis role.
- Proficiency in data analysis software such as R, Python, SQL, or similar.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Strong understanding of statistical principles and modeling techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal abilities, with the capacity to explain complex data to diverse audiences.
- Passion for sports and a deep understanding of various sports disciplines.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience with machine learning techniques is a plus.
Lead Sports Analyst
Posted 4 days ago
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Job Description
- Developing and implementing advanced statistical models to evaluate player and team performance.
- Analyzing game footage and biometric data to identify trends and insights.
- Creating comprehensive reports and visualizations to communicate findings to stakeholders.
- Collaborating with coaching staff to provide data-driven recommendations for game strategy and player development.
- Mentoring junior analysts and overseeing data collection processes.
- Staying current with the latest technologies and methodologies in sports analytics.
- Designing and conducting A/B testing for new strategies and approaches.
- Identifying key performance indicators (KPIs) for athletes and teams.
- Maintaining and enhancing the analytical databases and tools.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Sports Science, or a related quantitative field. Master's degree preferred.
- Minimum of 7 years of experience in sports analytics or a related field.
- Proven expertise in statistical analysis and modeling (e.g., regression, time series, machine learning).
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).
- Strong understanding of various sports and their performance metrics.
- Excellent communication and presentation skills, with the ability to translate complex data into understandable insights.
- Experience leading projects and mentoring junior team members.
- Ability to work independently and manage multiple projects in a remote environment.
- Knowledge of sports analytics software is a plus.
This is an exciting opportunity for a passionate sports analytics professional looking to make a significant impact on athletic performance through data. Join our forward-thinking team and help shape the future of sports analytics. We are committed to fostering a collaborative and innovative remote work culture, providing the tools and support you need to excel.
Professional Sports Analyst
Posted 6 days ago
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Job Description
Senior Sports Analyst
Posted 7 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and process large datasets from various sports sources.
- Develop and implement statistical models and machine learning algorithms for performance prediction and player evaluation.
- Conduct in-depth analysis of game data, player statistics, and team performance.
- Create compelling data visualizations and reports to communicate findings to management and operational teams.
- Identify trends and patterns that can provide a competitive edge.
- Collaborate with cross-functional teams to define key performance indicators and reporting requirements.
- Stay up-to-date with the latest advancements in sports analytics and data science methodologies.
- Contribute to the development of new analytical tools and platforms.
- Present findings and recommendations clearly and concisely.
Qualifications:
- Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
- 5+ years of experience in data analysis, statistical modeling, or predictive analytics.
- Proven experience in sports analytics or a strong passion for sports with demonstrable analytical skills.
- Proficiency in programming languages such as Python or R.
- Experience with SQL and database management.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Ability to work independently and manage multiple projects in a remote setting.
This remote opportunity is based conceptually around Omaha, Nebraska, US , offering you the chance to make a significant impact from your home office. If you have a knack for numbers and a love for sports, we encourage you to apply.
Senior Sports Analyst & Strategist
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, process, and analyze large datasets from various sports, including performance metrics, game statistics, and player data.
- Develop and implement advanced analytical models to identify key performance indicators and areas for improvement.
- Create comprehensive reports and visualizations to communicate findings to coaches, athletes, and management.
- Collaborate with coaching staff to develop game strategies and player development plans based on data insights.
- Stay current with emerging trends and technologies in sports analytics and performance science.
- Design and execute data-driven experiments to test hypotheses and evaluate the impact of different strategies.
- Provide real-time analytical support during games and competitions.
- Mentor junior analysts and contribute to building a data-driven culture within the organization.
- Maintain and improve existing analytical tools and databases.
- Present findings and recommendations in a clear, concise, and persuasive manner.
Qualifications:
- Bachelor's or Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics, performance analysis, or a related field.
- Proficiency in statistical programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of sports dynamics and performance metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex technical information to non-technical audiences.
- Experience working with large datasets and databases.
- Ability to work effectively in a hybrid environment, balancing remote and in-office responsibilities.
- Passion for sports and a desire to contribute to athletic success.
Senior Sports Analyst & Strategist
Posted 5 days ago
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Job Description
Responsibilities:
- Analyze vast amounts of sports data (performance metrics, player statistics, game outcomes, etc.) to uncover insights and patterns.
- Develop and refine advanced analytical models to predict performance, identify talent, and evaluate strategies.
- Translate complex analytical findings into clear, concise, and actionable recommendations for coaches, athletes, and management.
- Collaborate with sports organizations to understand their specific needs and tailor analytical approaches accordingly.
- Create compelling data visualizations and reports to communicate insights effectively.
- Stay abreast of the latest trends in sports analytics, statistical modeling, and relevant technologies.
- Identify new data sources and methodologies to enhance analytical capabilities.
- Contribute to the development of proprietary analytical tools and platforms.
- Present findings and strategic recommendations to diverse audiences, including technical and non-technical stakeholders.
- Mentor junior analysts and contribute to the growth of the analytics team.
- Maintain a deep understanding of various sports, their rules, and strategic nuances.
Qualifications:
- Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Sports Management, or a related quantitative field.
- 5+ years of experience in sports analytics, data analysis, or a similar role, with a focus on strategy development.
- Proven experience in statistical modeling, machine learning techniques, and data mining.
- Proficiency in programming languages such as Python or R, and experience with SQL.
- Strong understanding of sports dynamics, rules, and strategic elements across multiple disciplines.
- Excellent data visualization skills using tools like Tableau, Power BI, or similar.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Superb communication and presentation skills, with the ability to explain complex data to various stakeholders.
- Experience working in a remote or distributed team environment is a plus.
- Passion for sports and a deep understanding of the competitive landscape.
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Remote Sports Analyst - Performance Data
Posted 1 day ago
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Job Description
Responsibilities:
- Collect, clean, and process large datasets related to athlete performance.
- Perform statistical analysis to identify performance trends and correlations.
- Develop predictive models for injury risk and performance outcomes.
- Analyze athlete data from various sources, including wearable devices and performance tracking systems.
- Create compelling data visualizations to communicate insights effectively.
- Provide data-driven recommendations to coaches, athletes, and sports scientists.
- Evaluate the effectiveness of training programs and interventions.
- Stay current with advancements in sports science, analytics, and relevant technologies.
- Collaborate with cross-functional teams to integrate analytical findings into performance strategies.
- Contribute to the development of new analytical tools and methodologies.
- Bachelor's or Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related quantitative field.
- Proven experience in sports analytics, performance analysis, or a similar role.
- Strong statistical analysis and modeling skills.
- Proficiency in programming languages like Python or R for data analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent understanding of sports physiology, biomechanics, and performance metrics.
- Strong problem-solving and critical thinking abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage multiple projects in a remote environment.
- Experience with wearable technology data is a plus.
Remote Lead Sports Analyst & Strategist
Posted 2 days ago
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Job Description
Responsibilities:
- Lead and mentor a team of sports analysts, fostering a collaborative and high-performance environment.
- Develop, implement, and refine sophisticated statistical models and machine learning algorithms for performance analysis and prediction.
- Analyze vast datasets related to player performance, game statistics, and opponent tendencies.
- Translate complex data findings into clear, concise, and actionable recommendations for coaching staff and management.
- Collaborate with athletes and coaches to provide insights for training programs and game strategies.
- Identify emerging trends and innovative approaches in sports analytics.
- Present findings and strategic recommendations to executive leadership and key stakeholders.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of proprietary analytics platforms and tools.
- 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 or mentoring capacity.
- Proven expertise in statistical modeling, predictive analytics, and machine learning techniques.
- Proficiency in data analysis and visualization tools (e.g., Python, R, SQL, Tableau).
- Deep understanding of sports principles, strategy, and performance metrics across multiple disciplines.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with sports performance tracking technologies is a plus.
- This is a 100% remote position, ideal for candidates located anywhere within the US, but with a specific interest in candidates with exposure to the sporting culture and analytical demands of the Durham, North Carolina, US region.
Senior Sports Analyst & Performance Coach
Posted 6 days ago
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Job Description
- Collect and analyze athlete performance data using advanced analytics tools and technologies.
- Develop detailed reports and presentations to communicate findings to athletes and coaching staff.
- Design and implement individualized performance training programs.
- Provide expert coaching and feedback to athletes to improve skills and technique.
- Utilize video analysis software to identify strengths and weaknesses.
- Collaborate with coaches to develop game strategies and tactical plans.
- Monitor athlete workload, fatigue, and recovery to prevent injuries and optimize performance.
- Stay current with the latest research and advancements in sports science and performance coaching.
- Mentor junior analysts and coaches.
- Contribute to the overall strategic planning of the performance department.
- Bachelor's degree in Sports Science, Kinesiology, Exercise Physiology, or a related field. Master's degree preferred.
- Minimum of 5 years of experience in sports analysis and performance coaching at a professional or collegiate level.
- Proven expertise in data analysis, performance metrics, and statistical modeling.
- Proficiency with sports analytics software (e.g., Catapult, Hudl, Sportscode) and wearable technology.
- Strong understanding of biomechanics, exercise physiology, and sports nutrition.
- Excellent communication, presentation, and interpersonal skills.
- Ability to motivate and inspire athletes.
- Demonstrated leadership and team collaboration abilities.
- Knowledge of specific sports rules, strategies, and performance requirements.