174 Sports Analyst jobs in the United Kingdom
Senior Sports Data Analyst
Posted 1 day ago
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Job Description
Key Responsibilities:
- Develop and implement sophisticated statistical models and algorithms to analyze player and team performance data.
- Design and conduct A/B tests and other experiments to evaluate the effectiveness of training regimes and tactical approaches.
- Visualize complex data findings into clear, concise, and compelling reports and presentations for both technical and non-technical stakeholders.
- Collaborate closely with coaches, sports scientists, and other performance staff to understand their data needs and deliver tailored insights.
- Stay abreast of the latest advancements in sports science, data analytics, and machine learning relevant to performance enhancement.
- Mentor junior analysts and contribute to the continuous improvement of data collection and analysis methodologies.
- Ensure data integrity and accuracy throughout the analysis pipeline.
- Build predictive models for game outcomes, player injury risk, and optimal team composition.
- Manage and maintain databases, ensuring efficient data retrieval and storage.
- Communicate complex findings effectively through dashboards and interactive visualizations.
Qualifications:
- Master's degree or PhD in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a similar data-intensive field.
- Proficiency in statistical programming languages such as R or Python.
- Experience with SQL and database management.
- Expertise in data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of probability, statistical modeling, and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
- A genuine passion for sports and a deep understanding of athletic performance metrics.
Remote Sports Data Analyst
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, clean, and process sports data from various sources.
- Analyze performance data to identify key trends and insights.
- Develop and implement statistical models for performance prediction.
- Create compelling visualizations and reports for stakeholders.
- Collaborate with coaches and performance staff to inform strategy.
- Identify and track key performance indicators (KPIs).
- Contribute to the development of data-driven tools and platforms.
- Stay current with advancements in sports analytics and data science.
- Communicate findings effectively to technical and non-technical audiences.
- Ensure data accuracy and integrity throughout the analysis process.
- Proven experience in data analysis, preferably within the sports industry.
- Strong proficiency in statistical programming languages (Python, R) and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports analytics concepts and methodologies.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Bachelor's degree in Statistics, Data Science, Sports Science, or a related quantitative field.
Senior Sports Data Analyst
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and maintain sophisticated data models to analyze player performance, team tactics, and game outcomes.
- Utilize statistical software and programming languages (e.g., Python, R) to process, clean, and interpret large datasets from various sources including real-time match data, GPS tracking, and physiological sensors.
- Create compelling visualizations and reports to communicate complex findings to non-technical stakeholders, including senior management and sports professionals.
- Identify key performance indicators (KPIs) and establish benchmarks for success across different sports.
- Conduct in-depth research into emerging trends and technologies in sports analytics, recommending and implementing innovative solutions.
- Mentor junior analysts, fostering a culture of continuous learning and data-driven decision-making.
- Contribute to the development of data collection strategies and ensure data integrity and accuracy.
- Work collaboratively in a remote environment, utilizing project management tools and communication platforms effectively.
- Present findings and recommendations to diverse audiences, influencing strategic planning and operational adjustments.
Qualifications:
- A Master's degree or PhD in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Proven experience (5+ years) in sports analytics, with a strong portfolio demonstrating successful projects.
- Advanced proficiency in statistical analysis, machine learning techniques, and data mining.
- Expertise in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Proficiency in database management (SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
- Experience working in a remote setting and strong self-discipline.
- A genuine passion for sports and a deep understanding of sporting principles.
Remote Sports Data Analyst
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Gather, clean, and organize data from various sports-related sources, including live match feeds, historical databases, and performance metrics.
- Develop and implement statistical models and algorithms to identify trends, predict outcomes, and evaluate player/team performance.
- Create compelling visualizations and reports to communicate complex findings to stakeholders, including coaches, analysts, and management.
- Collaborate with internal teams to understand data needs and deliver tailored analytical solutions.
- Monitor the accuracy and integrity of data, ensuring reliable and consistent insights.
- Stay abreast of the latest advancements in sports analytics, data science techniques, and relevant technologies.
- Contribute to the development of data-driven strategies to optimize performance and competitive advantage.
- Develop dashboards and performance tracking tools for various sports disciplines.
- Assist in designing and conducting A/B tests for new analytical approaches.
- Provide ad-hoc data analysis to support urgent business and performance-related queries.
Qualifications and Experience:
- A Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field.
- Proven experience in data analysis, with a focus on sports analytics being a significant advantage.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of SQL for database querying and management.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Familiarity with statistical modeling, machine learning techniques, and hypothesis testing.
- A genuine passion for sports and a strong understanding of various sporting events and their dynamics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This role is fully remote and offers a competitive salary, flexible working hours, and the chance to make a real impact in the world of sports analytics.
Sports Data Analyst - Performance Insights
Posted 3 days ago
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Job Description
Key duties include developing and implementing statistical models, utilising advanced data visualisation tools, and creating comprehensive performance reports. You will work with a variety of data sources, including performance metrics, biomechanical data, and scouting information. The ideal candidate will possess a strong understanding of sports analytics principles, excellent programming skills (e.g., Python, R), and proficiency in SQL for database management. Experience with machine learning techniques and predictive modelling is highly desirable.
You will collaborate closely with coaching staff, sports scientists, and other performance personnel to ensure data-driven insights are effectively integrated into training and game strategies. The ability to communicate complex findings in a clear, concise, and compelling manner to both technical and non-technical audiences is paramount. This hybrid role requires a proactive approach to problem-solving and a passion for the intersection of sports and data.
We are looking for an individual with a proven track record in sports data analysis, preferably within a professional sports environment. A degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Sports Science is required. Excellent analytical, critical thinking, and communication skills are essential.
This position offers a hybrid working model, combining remote flexibility with in-office collaboration. The role is based in Leeds, West Yorkshire, UK .
Senior Sports Analyst - Remote
Posted 1 day ago
Job Viewed
Job Description
- Developing and implementing advanced statistical models to analyze player and team performance across various sporting disciplines.
- Collecting, cleaning, and interpreting large datasets from diverse sources, ensuring data integrity and accuracy.
- Creating compelling reports, presentations, and dashboards to communicate findings and recommendations to stakeholders, including coaches, management, and athletes.
- Collaborating with cross-functional teams to define key performance indicators (KPIs) and establish data-driven performance benchmarks.
- Staying abreast of the latest trends and innovations in sports analytics, scouting, and performance science.
- Mentoring junior analysts and fostering a culture of data-driven decision-making.
- Utilizing advanced statistical software and programming languages such as R, Python, or similar.
- Contributing to the development of predictive models for player recruitment, injury prevention, and game strategy.
Qualifications:
- Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in sports analytics or a related analytical role.
- Proficiency in statistical programming languages (R, Python) and database management (SQL).
- Strong understanding of probability, statistical inference, and machine learning algorithms.
- Exceptional communication and presentation skills, with the ability to translate complex data into understandable insights.
- Proven ability to work independently and manage multiple projects simultaneously in a remote environment.
- Experience with sports-specific data platforms and visualization tools (e.g., Tableau, Power BI) is a significant plus.
This role is based remotely, with the primary point of reference for administrative purposes being Bradford, West Yorkshire, UK . If you are passionate about sports and have a talent for uncovering insights hidden within data, we encourage you to apply.
Remote Sports Analyst & Performance Coach
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Utilise advanced data analytics tools and software to collect, process, and interpret performance data from athletes and teams (e.g., video analysis, GPS data, physiological metrics).
- Develop comprehensive performance reports, highlighting key trends, strengths, weaknesses, and actionable recommendations for improvement.
- Design and implement bespoke remote training programmes and performance enhancement strategies tailored to individual athlete needs and team objectives.
- Provide regular virtual coaching sessions, offering technical feedback, tactical guidance, and motivational support.
- Collaborate closely with athletes, coaches, and sports scientists via video conferencing and online communication platforms.
- Stay abreast of the latest research, technologies, and methodologies in sports science, performance analysis, and coaching.
- Contribute to the development of new analytical tools and coaching methodologies.
- Maintain detailed records of athlete progress, training plans, and performance outcomes.
- Ensure data privacy and security in all aspects of work.
- Communicate effectively with clients to build strong working relationships and foster trust.
- Bachelor's or Master's degree in Sports Science, Performance Analysis, Coaching, Kinesiology, or a related field.
- Proven experience as a Sports Analyst and/or Performance Coach, with a strong portfolio of successful case studies.
- Expertise in sports performance data analysis software (e.g., Hudl, Sportscode, Kinexon, Catapult).
- In-depth knowledge of various sports, their technical demands, and performance metrics.
- Familiarity with strength and conditioning principles and training methodologies.
- Excellent ability to interpret complex data and translate it into clear, actionable insights.
- Outstanding verbal and written communication skills, with the ability to engage and motivate clients remotely.
- Proficiency with online collaboration tools (e.g., Zoom, Teams, Slack) and cloud-based platforms.
- Strong self-management and organisational skills to excel in a remote work environment.
- A passion for sports and a dedication to helping athletes achieve their full potential.
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Sports Performance Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Collect, process, and analyze performance data from training sessions and competitions using specialized software and tools.
- Develop key performance indicators (KPIs) and statistical models to track and evaluate individual and team performance.
- Prepare comprehensive performance reports and video analyses for coaching staff and athletes.
- Identify trends, strengths, and weaknesses in team and individual performance.
- Utilize data to inform tactical decisions and game planning.
- Collaborate closely with coaches, strength and conditioning staff, and medical teams to integrate performance insights into training programs.
- Research and implement new technologies and methodologies in sports performance analysis.
- Maintain a database of performance statistics and video footage.
- Contribute to the development of individual athlete development plans based on performance data.
- Ensure the integrity and accuracy of all collected data.
- Bachelor's degree in Sports Science, Performance Analysis, Data Science, or a related field; Master's degree is a plus.
- Proven experience as a Sports Performance Analyst, preferably within a professional or elite sporting environment.
- Proficiency with performance analysis software (e.g., Hudl, Sportscode, Dartfish) and statistical packages (e.g., R, Python).
- Strong understanding of biomechanics, physiology, and training principles relevant to sport.
- Excellent data visualization and presentation skills.
- Ability to interpret complex data and translate it into actionable insights.
- Strong communication and interpersonal skills, with the ability to work effectively with coaches and athletes.
- Meticulous attention to detail and organizational skills.
- Ability to work independently and manage workload effectively in a remote setting.
- Knowledge of (mention specific sport if applicable, e.g., football, rugby, basketball) is advantageous.
Sports Performance Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Collect, manage, and analyze performance data from various sources, including video analysis, GPS tracking, and other biometric data.
- Develop and utilize statistical models and visualization techniques to identify trends, strengths, and weaknesses of individual athletes and the team.
- Prepare comprehensive performance reports for coaches and athletes, highlighting key findings and recommendations.
- Assist in the tactical analysis of opponents, providing detailed scouting reports.
- Collaborate with coaches to develop individualized training plans based on performance data.
- Operate and maintain performance analysis software and hardware.
- Provide real-time feedback during training sessions and matches where appropriate.
- Stay current with advancements in sports science, performance analysis techniques, and technology.
- Contribute to the overall development of the performance pathway and talent identification processes.
- Ensure data integrity and security.
- Present findings and insights to various stakeholders within the organization.
Qualifications:
- Bachelor's degree in Sports Science, Performance Analysis, Biomechanics, Data Science, or a related field. A Master's degree is desirable.
- Proven experience in sports performance analysis, ideally within a team sport environment.
- Proficiency with performance analysis software (e.g., Hudl, Sportscode, Nacsport) and statistical analysis tools (e.g., R, Python).
- Strong understanding of biomechanics, physiology, and training principles relevant to sports performance.
- Excellent data visualization and presentation skills.
- Ability to interpret complex data and translate it into clear, actionable insights.
- Strong communication and interpersonal skills, with the ability to build rapport with coaches and athletes.
- A keen understanding of various sports and their tactical nuances.
- Ability to work flexible hours, including evenings and weekends, as required by match schedules and training.
- Experience with GPS tracking systems (e.g., Catapult) is a significant advantage.
Sports Performance Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Collect, organize, and analyze performance data from various sources (e.g., GPS, video analysis, physiological testing).
- Utilize advanced statistical methods and data visualization tools to identify patterns and trends in athlete and team performance.
- Provide objective, data-driven insights to coaches and athletes to optimize training programs and game strategies.
- Prepare comprehensive performance reports and presentations for review by coaching staff and management.
- Conduct post-match and post-training analysis, identifying strengths, weaknesses, and areas for development.
- Work closely with coaching staff to develop individual athlete development plans based on performance data.
- Stay current with the latest advancements in sports science, performance analysis techniques, and relevant technologies.
- Assist in the scouting and recruitment process by analyzing potential talent.
- Maintain and manage databases of performance information.
- Contribute to a data-informed culture within the performance department.
- Bachelor's degree in Sports Science, Performance Analysis, Data Science, or a related field. A Master's degree is preferred.
- Minimum of 3 years of experience in a sports performance analysis role, ideally within a professional or elite sporting environment.
- Proficiency in sports video analysis software (e.g., Hudl, Sportscode) and data analysis tools (e.g., R, Python, SPSS).
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent analytical, statistical, and problem-solving skills.
- Exceptional ability to communicate complex data insights clearly and concisely to non-technical audiences.
- Ability to work flexible hours, including evenings and weekends, to support competition schedules.
- Proactive, detail-oriented, and able to manage multiple tasks effectively.
- Experience working in a hybrid environment is beneficial.
- Passion for sports and a commitment to athletic excellence.