15 Senior Sports Analytics Consultant jobs in whatjobs
Senior Sports Analytics Consultant
Posted 20 days ago
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Job Description
Responsibilities:
- Collect, process, and analyze diverse sports data sets (performance, physiological, scouting, etc.).
- Develop and implement statistical models and machine learning algorithms for sports analytics.
- Create compelling data visualizations and dashboards to communicate insights effectively.
- Provide data-driven recommendations to coaches, athletes, and management to improve performance and strategy.
- Identify key performance indicators (KPIs) and track progress towards goals.
- Evaluate the effectiveness of training methodologies and game strategies.
- Conduct research on emerging trends and technologies in sports analytics.
- Collaborate with coaches and technical staff to integrate analytics into training and game planning.
- Prepare reports and presentations on analytical findings and recommendations.
- Ensure data integrity, accuracy, and security.
- Stay updated on the latest developments in sports science and analytics.
- Master's degree in Statistics, Data Science, Sports Science, Biomechanics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a closely related field.
- Strong proficiency in statistical analysis and machine learning techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python with libraries like Pandas, Scikit-learn).
- Knowledge of sports performance metrics and relevant data sources.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Passion for sports and a good understanding of athletic performance principles.
- Ability to work collaboratively in a team environment and interact effectively with athletes and coaches.
- Experience with video analysis software is a plus.
- Familiarity with SQL and database management.
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the analysis of performance data from various sports, including player tracking, physiological metrics, and game statistics.
- Develop and implement advanced statistical models and machine learning algorithms to identify performance trends, predict outcomes, and optimize strategies.
- Collaborate closely with coaches, athletes, and sports scientists to understand their needs and deliver tailored analytical solutions.
- Translate complex analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Create compelling data visualizations and reports to effectively communicate insights.
- Stay current with the latest research, methodologies, and technologies in sports analytics and data science.
- Contribute to the development of new analytical products and services.
- Mentor junior analysts and consultants, sharing expertise and fostering a culture of data-driven decision-making.
- Manage multiple client projects simultaneously, ensuring timely delivery and high-quality results.
- Present findings and recommendations to clients in a professional and persuasive manner.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a closely related field, with a proven track record of applying data science to sports performance.
- Strong proficiency in statistical modeling, machine learning techniques, and programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) and database management.
- In-depth understanding of various sports and the types of data generated within them.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Demonstrated ability to work independently and manage client relationships in a remote setting.
- Passion for sports and a deep understanding of the challenges and opportunities in performance optimization.
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the design and implementation of advanced analytical frameworks for sports performance data.
- Develop and maintain machine learning models for player performance prediction, injury risk assessment, and strategic game analysis.
- Collaborate with coaching staff, athletes, and management to understand their analytical needs and translate them into data-driven solutions.
- Create compelling visualizations and reports to communicate complex findings to both technical and non-technical audiences.
- Stay abreast of the latest trends and technologies in sports analytics, data science, and machine learning.
- Mentor junior analysts and contribute to the growth of our analytics capabilities.
- Ensure data integrity and the ethical use of sensitive performance data.
- Manage multiple projects simultaneously, adhering to strict deadlines and quality standards.
- Contribute to the development of new analytical products and services.
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 sports analytics, with a proven track record of delivering impactful results.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills for data extraction and manipulation.
- Extensive experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Deep understanding of statistical modeling, machine learning algorithms, and experimental design.
- Familiarity with various sports domains and their unique data challenges.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Demonstrated ability to work independently and collaboratively in a remote team setting.
- Passion for sports and a keen eye for strategic insights.
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
- Analyze performance data from various sports to identify trends, patterns, and key insights.
- Develop and implement statistical models and machine learning algorithms to predict outcomes and optimize performance.
- Create compelling data visualizations and reports to communicate complex findings to technical and non-technical audiences.
- Collaborate with coaches, athletes, and performance staff to understand their needs and provide data-driven recommendations.
- Design and evaluate key performance indicators (KPIs) for individual athletes and teams.
- Stay current with the latest advancements in sports analytics, statistical modeling, and relevant technologies.
- Contribute to the development of new analytical tools and methodologies.
- Ensure data integrity, accuracy, and confidentiality throughout the analysis process.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Identify opportunities to leverage data for strategic advantage in player recruitment, training, and game planning.
- 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.
- Proven experience in statistical modeling, data mining, and machine learning techniques.
- Proficiency in statistical programming languages such as R or Python.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Strong understanding of sports performance metrics and methodologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts effectively.
- Ability to work independently and manage multiple projects in a remote environment.
- A genuine passion for sports and data-driven decision-making.
Senior Sports Analytics Consultant
Posted 20 days ago
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Job Description
Senior Sports Analytics Consultant
Posted 18 days ago
Job Viewed
Job Description
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement advanced analytical models to evaluate player performance, team dynamics, and strategic decision-making in sports.
- Collect, clean, and process diverse datasets from various sources, including in-game statistics, sensor data, and scouting reports.
- Translate complex analytical findings into clear, concise, and actionable recommendations for coaches, management, and athletes.
- Identify key performance indicators (KPIs) and develop dashboards to monitor progress and measure the impact of implemented strategies.
- Utilize statistical software and programming languages (e.g., Python, R) to conduct sophisticated data analysis and predictive modeling.
- Collaborate with clients to understand their unique challenges and tailor analytical solutions to meet their specific needs.
- Stay current with the latest trends and innovations in sports analytics, sports science, and relevant technologies.
- Present findings and recommendations to clients through engaging reports and presentations.
- Contribute to the development of new analytical tools and methodologies within the firm.
- Mentor junior analysts and contribute to knowledge sharing within the team.
- Ensure data integrity and the highest standards of analytical rigor are maintained throughout all projects.
- Provide insights into fan engagement and business performance related to sports properties.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics, with a demonstrated track record of delivering impactful insights.
- Proficiency in statistical modeling, machine learning techniques, and data visualization tools.
- Expertise in programming languages such as Python or R, and SQL for data manipulation.
- Deep understanding of sports operations, strategies, and performance metrics across various disciplines.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote or hybrid environment, with strong self-management and organizational skills.
- Ability to manage multiple projects simultaneously and meet demanding deadlines.
- Passion for sports and a keen interest in how data can revolutionize performance.
- Experience with sports-specific data platforms and technologies is a significant advantage.
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Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and implement advanced analytical models to extract insights from sports data.
- Analyze performance data of athletes and teams to identify trends, strengths, and weaknesses.
- Provide data-driven recommendations on player performance, strategy, and talent recruitment.
- Collaborate with sports organizations to understand their specific analytical needs and objectives.
- Design and conduct experiments to evaluate the effectiveness of different strategies and interventions.
- Communicate complex analytical findings and insights clearly and effectively to non-technical stakeholders.
- Stay up-to-date with the latest advancements in sports analytics, statistical methods, and data science techniques.
- Develop compelling data visualizations to present findings and recommendations.
- Contribute to the development of new analytical products and services.
- Mentor junior analysts and share best practices within the team.
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 related quantitative consulting role.
- Proven expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn).
- Strong knowledge of various sports and their performance metrics.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex information effectively.
- Experience working remotely and managing projects independently.
- A passion for sports and a drive to leverage data to improve performance.
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze large datasets from various sports to identify key performance indicators and trends.
- Develop and implement statistical and machine learning models for player performance, game prediction, and strategic insights.
- Create compelling data visualizations and reports to communicate complex findings to non-technical stakeholders.
- Provide strategic recommendations to clients based on data analysis to improve team performance, player development, and fan engagement.
- Collaborate with clients to understand their specific analytical needs and challenges.
- Stay current with advancements in sports analytics, data science methodologies, and relevant technologies.
- Manage multiple client projects simultaneously, ensuring timely and high-quality delivery.
- Contribute to the development of proprietary analytical tools and frameworks.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- A minimum of 6 years of experience in sports analytics or a related data science role, with demonstrable experience in the sports industry.
- Proficiency in statistical programming languages such as Python or R, and associated data science libraries.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of various sports, their rules, and performance metrics.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Superb communication and presentation skills, with the ability to explain complex data insights clearly.
- Proven ability to work effectively and independently in a fully remote environment, managing client relationships remotely.
This is an exciting remote opportunity to influence strategic decisions in the sports world through advanced analytics. While the company has a base in Mlolongo, Machakos, KE , this role is entirely remote.
Senior Sports Analytics Consultant
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Analyze vast datasets related to player performance, game statistics, and training regimes using advanced statistical methods and machine learning algorithms.
- Develop predictive models to forecast game outcomes, identify optimal strategies, and assess player potential.
- Provide data-driven recommendations to coaches, athletes, and sports management on performance improvement and tactical adjustments.
- Design and implement performance tracking systems and dashboards for real-time monitoring.
- Collaborate with sports scientists, coaches, and athletes to understand their needs and translate them into analytical requirements.
- Present complex analytical findings in a clear, concise, and actionable manner through reports and presentations.
- Stay current with the latest research and technological advancements in sports analytics and data science.
- Contribute to the development of new analytical methodologies and tools.
- Mentor junior analysts and contribute to knowledge sharing within the team.
- Potentially travel occasionally for on-site consultations and data collection.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in sports analytics or a similar data-intensive analytical role.
- Deep understanding of statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R and experience with SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong knowledge of various sports and their performance metrics.
- Excellent communication, presentation, and interpersonal skills, with the ability to build rapport with clients and stakeholders.
- Proven ability to work effectively in both independent and collaborative settings.
- Experience working within the sports industry in or around **Bungoma, Bungoma, KE** is an advantage, but not essential due to the hybrid nature of the role.