2,329 Remote Sports Performance Analyst Data Driven Insights jobs in Kenya
Remote Sports Performance Analyst - Data Driven Insights
Posted 11 days ago
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Job Description
Responsibilities:
- Collect and manage performance data from various sources, including GPS tracking devices, video analysis, physiological sensors, and competition statistics.
- Utilize advanced statistical techniques and data visualization tools to identify trends, patterns, and key performance indicators (KPIs).
- Analyze athlete and team performance during training sessions and competitions to identify strengths and areas for improvement.
- Develop comprehensive performance reports and presentations for coaches, athletes, and management.
- Collaborate closely with coaching staff to translate data insights into effective training programs and strategic game plans.
- Monitor athlete workload and recovery to prevent injuries and optimize performance.
- Stay abreast of the latest advancements in sports science, performance analysis technology, and research methodologies.
- Implement and manage performance tracking software and databases.
- Provide objective feedback on individual player and team tactics.
- Contribute to the development of innovative performance monitoring tools and strategies.
- Maintain confidentiality of sensitive performance data.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field.
- Proven experience as a Sports Performance Analyst or in a similar data-focused role within a sports context.
- Proficiency with performance analysis software (e.g., Hudl, Sportscode, Dartfish) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical modeling, data mining, and research methodologies.
- Knowledge of biomechanics, physiology, and training principles relevant to athletic performance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional ability to communicate complex data clearly and concisely to diverse audiences, both verbally and in writing.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Passion for sports and a deep understanding of athletic performance principles.
- Experience with scripting languages like Python for data analysis is a significant advantage.
This fully remote opportunity is perfect for an individual who is passionate about sports and possesses exceptional analytical capabilities. You will have the chance to make a significant impact on athletic success by providing the insights that drive elite performance, all while enjoying the flexibility of working from home.
Remote Lead Sports Performance Analyst - Data Driven Insights
Posted 20 days ago
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Job Description
This fully remote position requires exceptional analytical, communication, and leadership skills. You will be responsible for developing performance evaluation frameworks, implementing advanced analytics tools, and mentoring a team of performance analysts. The Lead Sports Performance Analyst will collaborate closely with coaching staff to integrate performance insights into training programs and game plans. A strong ability to visualize data and communicate technical findings to non-technical audiences is crucial. This is an exciting opportunity to shape the future of sports performance through innovative data analysis from your remote location.
Responsibilities:
- Lead the analysis of athlete and team performance data across various sports disciplines.
- Develop and implement methodologies for collecting and interpreting performance metrics.
- Utilize advanced statistical and data visualization techniques to identify trends and insights.
- Provide actionable recommendations to coaches and athletes to optimize performance and prevent injuries.
- Develop performance evaluation frameworks and reporting systems.
- Manage and maintain performance databases and analytical software.
- Mentor and guide a team of sports performance analysts.
- Collaborate with coaching staff to integrate performance insights into training and game strategies.
- Stay current with advancements in sports science, analytics, and performance technology.
- Present findings and insights to stakeholders in a clear and concise manner.
Qualifications:
- Master's degree in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in sports performance analysis.
- Proven experience in leading analytical projects and teams.
- Strong understanding of sports physiology, biomechanics, and training methodologies.
- Expertise in data analysis tools and statistical software (e.g., R, Python, SPSS, SQL).
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Excellent communication, presentation, and interpersonal skills for remote collaboration.
- Experience with wearable technology and GPS tracking systems is a plus.
Senior Remote Sports Performance Analyst, Data-Driven Athletics
Posted 20 days ago
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Job Description
Key Responsibilities:
- Collect, process, and analyze performance data from various sports (e.g., GPS, video analysis, physiological metrics).
- Develop and implement metrics and KPIs to measure athlete and team performance.
- Create clear and concise reports, dashboards, and visualizations to communicate findings to coaches and athletes.
- Identify performance trends, strengths, and weaknesses, providing actionable recommendations.
- Collaborate with coaching staff to develop effective training plans and game strategies.
- Conduct post-match/game analysis to evaluate team and individual performance.
- Research and recommend new technologies and methodologies for performance analysis.
- Ensure data integrity and confidentiality.
- Stay updated on the latest advancements in sports science and performance analytics.
- Contribute to the development of personalized athlete development programs.
- Bachelor's degree in Sports Science, Data Science, Statistics, or a related field; Master's degree preferred.
- Minimum of 5 years of experience in sports performance analysis or a similar role.
- Proficiency in data analysis software (e.g., R, Python, SPSS) and visualization tools (e.g., Tableau, Power BI).
- Experience with sports-specific performance tracking technologies (e.g., Catapult, STATSports, Hudl).
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superb communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Passion for sports and a deep understanding of athletic performance principles.
- Experience in team sports analytics is highly desirable.
Remote Sports Performance Analyst - Data-Driven Athlete Development
Posted 6 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and organize performance data from multiple sources (e.g., GPS trackers, heart rate monitors, video analysis software, electronic health records).
- Analyze athlete performance metrics to identify strengths, weaknesses, and areas for improvement.
- Develop and implement statistical models and predictive analytics to forecast performance trends and injury risks.
- Generate comprehensive reports and visualizations to present findings to coaches, athletes, and management.
- Collaborate with coaching staff to translate data insights into effective training programs and game strategies.
- Monitor athlete load, fatigue, and recovery to inform training intensity and injury prevention strategies.
- Evaluate the effectiveness of training interventions and performance enhancement techniques.
- Stay up-to-date with the latest advancements in sports science, performance analytics, and relevant technologies.
- Contribute to the development of new data collection protocols and analytical methodologies.
- Ensure data integrity, accuracy, and confidentiality throughout the analysis process.
Qualifications:
- Bachelor's or Master's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field.
- Proven experience in sports performance analysis, preferably within a professional or elite sports setting.
- Proficiency in statistical software (e.g., R, SPSS, Python) and data visualization tools (e.g., Tableau, Power BI).
- Experience with sports-specific data platforms and video analysis software (e.g., Hudl, Catapult).
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and presentation skills, with the ability to convey complex data insights effectively.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Passion for sports and a desire to contribute to athlete success.
Senior Sports Performance Analyst - Data Driven Insights
Posted 20 days ago
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Job Description
Responsibilities:
- Collect and process performance data from various sources, including video analysis, GPS tracking, and physiological sensors.
- Conduct in-depth statistical analysis of athlete and team performance to identify strengths, weaknesses, and areas for improvement.
- Develop and present clear, concise reports and visualizations to coaches, athletes, and management.
- Identify key performance indicators (KPIs) and track progress towards performance goals.
- Collaborate with coaching staff to develop personalized training and game strategies based on data insights.
- Stay current with the latest trends and technologies in sports analytics and performance science.
- Assist in the development and implementation of new data collection and analysis methodologies.
- Manage and maintain the performance database, ensuring data integrity and accuracy.
- Communicate complex findings effectively to both technical and non-technical audiences.
- Contribute to a culture of continuous improvement and data-driven decision-making within a remote team structure.
Qualifications:
- Bachelor's degree in Sports Science, Biomechanics, Statistics, Data Science, or a related field.
- Minimum of 5 years of experience in sports performance analysis, preferably within professional sports.
- Proven experience with performance analysis software (e.g., Hudl Sportscode, Dartfish) and statistical packages (e.g., R, Python, SPSS).
- Strong understanding of biomechanics and physiological principles relevant to athletic performance.
- Excellent data visualization skills and the ability to present complex information clearly.
- Strong analytical and problem-solving abilities.
- Excellent communication and interpersonal skills, with the ability to build rapport with athletes and staff.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Passion for sports and a deep understanding of athletic training principles.
- Experience with GPS and heart rate monitoring systems is highly desirable.
Graduate Trainee - Data Analytics and Business Intelligence
Posted 6 days ago
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Graduate Trainee - Data Analytics & Business Intelligence
Posted 20 days ago
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Remote Graduate Trainee - Data Analytics & Business Intelligence
Posted 1 day ago
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Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and maintenance of dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
- Perform basic data analysis to identify trends, patterns, and anomalies under the supervision of senior analysts.
- Collaborate with team members to understand business requirements and translate them into data-driven solutions.
- Help in the creation of visualizations and presentations to communicate findings to stakeholders.
- Learn and apply statistical methods and data mining techniques.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Gain exposure to various data analysis methodologies and tools.
- Assist in documenting data processes, methodologies, and findings.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Proficiency in Microsoft Excel; familiarity with SQL is a significant advantage.
- Basic understanding of data analysis concepts and statistical principles.
- Eagerness to learn and adapt to new technologies and analytical tools.
- Excellent written and verbal communication skills, suitable for remote collaboration.
- Self-motivated and able to work independently with good time management skills.
- A proactive approach to learning and contributing to team goals.
- Passion for data and its potential to drive business value.
- Previous internship or project experience in data analysis is a plus, but not mandatory.
This graduate program offers a unique pathway to a rewarding career in data analytics, providing comprehensive training and mentorship in a fully remote setting.
Senior Real Estate Data Analyst - Market Intelligence
Posted 20 days ago
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Job Description
Responsibilities:
- Collect, clean, and validate large datasets related to property transactions, market values, rental rates, occupancy levels, and demographic information.
- Develop and maintain sophisticated data models to forecast real estate market trends and identify emerging opportunities.
- Utilize statistical software and data visualization tools to analyze market dynamics and generate actionable insights.
- Prepare comprehensive market analysis reports, presentations, and dashboards for internal stakeholders, including investment teams and property managers.
- Monitor key performance indicators (KPIs) for various real estate segments and provide regular updates on market performance.
- Conduct in-depth research on specific geographic areas and property types to understand supply, demand, and competitive landscapes.
- Collaborate with cross-functional teams, including acquisitions, development, and marketing, in a remote setting to provide data-driven recommendations.
- Identify potential risks and challenges within the real estate market and propose mitigation strategies.
- Stay abreast of industry best practices, new data sources, and analytical methodologies in real estate analytics.
- Develop and automate reporting processes to enhance efficiency and accuracy.
- Present complex data findings in a clear, concise, and compelling manner to diverse audiences.
- Contribute to the strategic planning process by providing data-driven market intelligence.
- Ensure data integrity and accuracy across all analytical outputs.
- Explore new data sources and analytical techniques to enhance market insights.
- Bachelor's degree in Economics, Finance, Statistics, Real Estate, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in data analysis, with a significant focus on the real estate industry.
- Proven expertise in collecting, analyzing, and interpreting large datasets using tools like SQL, Python, R, or similar.
- Strong proficiency with data visualization tools such as Tableau, Power BI, or similar.
- Solid understanding of real estate market dynamics, property valuation methods, and investment principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
- Highly organized, detail-oriented, and able to manage multiple projects simultaneously in a remote environment.
- Ability to work independently and proactively.
- Experience with GIS software for spatial analysis is a plus.
Junior Data Analyst - Business Intelligence
Posted 20 days ago
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Job Description
Key Responsibilities:
- Assist in gathering and organizing data from various internal and external sources.
- Perform data cleaning, transformation, and validation to ensure data accuracy and integrity.
- Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Power BI, Tableau, Excel).
- Support the creation of ad-hoc analyses to address specific business questions and challenges.
- Identify trends, patterns, and anomalies in data sets and communicate findings effectively.
- Collaborate with team members on data analysis projects and contribute to team goals.
- Learn and apply statistical methods and data mining techniques.
- Assist in documenting data processes, methodologies, and report definitions.
- Provide support to business users regarding data interpretation and report usage.
- Contribute to continuous improvement of data quality and reporting processes.
Qualifications:
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Basic understanding of database concepts and SQL is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Strong analytical and critical thinking skills.
- Excellent communication and interpersonal abilities.
- Ability to work independently and as part of a team.
- Eagerness to learn and adapt in a rapidly evolving field.