2,314 Head Of Sports Analytics Strategy jobs in Kenya
Head of Sports Analytics & Strategy
Posted 10 days ago
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Job Description
Our client is looking for an innovative and data-driven Head of Sports Analytics & Strategy to lead their sports division. This is a fully remote opportunity, allowing you to contribute to cutting-edge sports insights from the comfort of your home. You will be responsible for developing and implementing advanced analytical models to enhance team performance, player development, and strategic decision-making. Your role will involve collecting, processing, and interpreting vast amounts of sports data to identify trends, predict outcomes, and provide actionable recommendations to coaching staff and management.
The ideal candidate will have a deep understanding of sports statistics, machine learning techniques, and data visualization tools. You should possess exceptional analytical skills and the ability to translate complex data into clear, concise strategies. Experience in a leadership role, managing a team of analysts, is highly desirable. You will champion a data-centric culture within the organization, fostering collaboration between analytics, coaching, and performance departments. Responsibilities include designing A/B tests for training regimens, evaluating scouting data, and optimizing game-day strategies. Proficiency in programming languages such as Python or R, and database management systems, is essential. This role requires a forward-thinking individual who can stay abreast of the latest advancements in sports science and analytics. You will present findings and recommendations to executive leadership, influencing key decisions. The opportunity to shape the future of sports performance through data is immense. We are seeking a visionary leader who can drive innovation and excellence in a fully remote setting. This position is based in Naivasha, Nakuru, KE .
The ideal candidate will have a deep understanding of sports statistics, machine learning techniques, and data visualization tools. You should possess exceptional analytical skills and the ability to translate complex data into clear, concise strategies. Experience in a leadership role, managing a team of analysts, is highly desirable. You will champion a data-centric culture within the organization, fostering collaboration between analytics, coaching, and performance departments. Responsibilities include designing A/B tests for training regimens, evaluating scouting data, and optimizing game-day strategies. Proficiency in programming languages such as Python or R, and database management systems, is essential. This role requires a forward-thinking individual who can stay abreast of the latest advancements in sports science and analytics. You will present findings and recommendations to executive leadership, influencing key decisions. The opportunity to shape the future of sports performance through data is immense. We are seeking a visionary leader who can drive innovation and excellence in a fully remote setting. This position is based in Naivasha, Nakuru, KE .
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Head of Sports Analytics & Strategy - Remote
Posted 14 days ago
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Job Description
Our client, a forward-thinking sports management group with a global reach, is seeking an innovative Head of Sports Analytics & Strategy to join their fully remote team. This pivotal role will leverage data-driven insights to enhance athletic performance, optimize team strategies, and drive success across various sporting disciplines. You will be responsible for developing and implementing advanced analytical frameworks, identifying key performance indicators, and translating complex data into actionable recommendations for coaches, athletes, and management. Key duties include overseeing the collection and analysis of performance data, developing predictive models, and staying abreast of emerging trends in sports analytics technology and methodology. The ideal candidate will possess a deep understanding of statistical analysis, machine learning, and data visualization techniques as applied to sports. Exceptional leadership, communication, and presentation skills are essential, along with the ability to collaborate effectively with diverse stakeholders in a remote environment. This position requires a highly analytical, results-oriented individual with a passion for sports and a proven track record of leveraging data to achieve strategic objectives. A master's degree in Data Science, Statistics, Sports Science, or a related quantitative field is required, along with substantial experience in sports analytics or performance analysis. If you are a visionary leader ready to revolutionize sports strategy through data, this exciting remote opportunity, connected to the vibrant sports scene of **Kitale, Trans-Nzoia, KE**, is for you.
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Remote Head of Sports Analytics and Strategy
Posted 18 days ago
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Job Description
Our client is looking for a forward-thinking and analytical Remote Head of Sports Analytics and Strategy to lead their data-driven approach to athletic performance and competitive strategy. This is a fully remote position, allowing you to shape the future of sports through insightful analysis from anywhere. You will be responsible for overseeing the collection, interpretation, and application of vast amounts of sports data, including player performance metrics, team statistics, and opponent analysis. Your role will involve developing advanced analytical models to identify trends, predict outcomes, and provide actionable recommendations to coaches, management, and athletes. You will lead a team of sports analysts, guiding their research and ensuring the quality and impact of their findings. Collaboration with coaching staff to integrate data insights into training regimens, game planning, and player development is a key aspect of this role. The ideal candidate will possess a strong background in statistics, data science, or a related quantitative field, with a proven passion for and understanding of sports. Proficiency in data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python, SPSS) is essential. Experience in developing predictive models, performance benchmarking, and strategic scenario planning is highly valued. You will be instrumental in uncovering hidden advantages and optimizing team performance. This position requires exceptional communication skills to translate complex data into clear, understandable insights for non-technical stakeholders. You will foster a data-centric culture within the organization, driving continuous improvement in competitive effectiveness. This is a unique opportunity to impact athletic success at a high level while enjoying the flexibility of a remote work setup, contributing from your location in Nakuru, Nakuru, KE .
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Head of Remote Sports Analytics and Strategy
Posted 11 days ago
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Job Description
Our client, a forward-thinking organization in the Leisure & Sports sector, is actively searching for an accomplished Head of Remote Sports Analytics and Strategy. This is a fully remote position, requiring a visionary leader to drive data-driven decision-making across various sporting disciplines. You will be instrumental in developing and implementing sophisticated analytical frameworks, leveraging cutting-edge technology to interpret performance metrics, and translating complex data into actionable strategic insights. This role demands a deep understanding of sports dynamics, statistical modeling, and predictive analytics. You will lead a global team of analysts and strategists, fostering a collaborative and results-oriented environment, regardless of geographical dispersion. Your ability to communicate complex findings clearly to diverse stakeholders, including coaches, management, and athletes, will be paramount.
Key responsibilities include:
The successful candidate will possess a Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field. A minimum of 8 years of experience in sports analytics, with at least 3 years in a leadership role, is essential. Proven expertise in statistical software (R, Python) and database management is required. Strong knowledge of sports rules, strategies, and performance metrics across various disciplines is a must. Exceptional communication, presentation, and stakeholder management skills are critical for this fully remote role. Demonstrated ability to lead and motivate a distributed team effectively is highly valued. This position, while based in Thika, Kiambu, KE , offers complete remote work flexibility.
Key responsibilities include:
- Developing and overseeing the execution of data analytics strategies for multiple sports.
- Leading and mentoring a remote team of sports analysts, data scientists, and performance strategists.
- Designing and implementing advanced statistical models and machine learning algorithms to identify trends and predict outcomes.
- Collaborating with coaching staff and performance teams to enhance player development and team performance.
- Identifying key performance indicators (KPIs) and developing dashboards for real-time monitoring.
- Conducting in-depth research into new analytical techniques and technologies relevant to sports.
- Presenting findings and strategic recommendations to senior leadership, ensuring clear understanding and adoption.
- Managing data integrity and ensuring the secure handling of sensitive performance information.
- Fostering a culture of continuous learning and innovation within the analytics department.
- Liaising with external partners and technology providers to explore new analytical tools and opportunities.
The successful candidate will possess a Master's degree in Statistics, Data Science, Sports Science, or a related quantitative field. A minimum of 8 years of experience in sports analytics, with at least 3 years in a leadership role, is essential. Proven expertise in statistical software (R, Python) and database management is required. Strong knowledge of sports rules, strategies, and performance metrics across various disciplines is a must. Exceptional communication, presentation, and stakeholder management skills are critical for this fully remote role. Demonstrated ability to lead and motivate a distributed team effectively is highly valued. This position, while based in Thika, Kiambu, KE , offers complete remote work flexibility.
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Head of Sports Analytics & Performance Strategy
Posted 20 days ago
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Job Description
Our client is seeking a visionary and highly experienced Head of Sports Analytics & Performance Strategy to lead our data-driven approach to athletic excellence. This is a fully remote leadership position, allowing you to shape our performance culture from anywhere. You will be responsible for developing and implementing a comprehensive analytics strategy that underpins all aspects of athlete development, training, and competition. This includes leveraging cutting-edge data science techniques, predictive modeling, and performance tracking to gain a competitive edge.
The ideal candidate will possess a deep understanding of sports science, biomechanics, and statistical modeling, coupled with extensive experience in applying these principles to elite sports environments. You should have a proven track record of building and leading high-performing analytics teams, managing complex data infrastructure, and translating data insights into actionable strategies that have demonstrably improved athletic outcomes. Expertise in various analytical software, machine learning platforms, and data visualization tools is essential. Your role will involve close collaboration with coaches, medical staff, and executive leadership to align the analytics strategy with overarching team goals. Exceptional communication and presentation skills are crucial for conveying complex analytical findings to diverse audiences. This is a unique opportunity to redefine performance at the highest level through advanced data utilization.
Responsibilities:
The ideal candidate will possess a deep understanding of sports science, biomechanics, and statistical modeling, coupled with extensive experience in applying these principles to elite sports environments. You should have a proven track record of building and leading high-performing analytics teams, managing complex data infrastructure, and translating data insights into actionable strategies that have demonstrably improved athletic outcomes. Expertise in various analytical software, machine learning platforms, and data visualization tools is essential. Your role will involve close collaboration with coaches, medical staff, and executive leadership to align the analytics strategy with overarching team goals. Exceptional communication and presentation skills are crucial for conveying complex analytical findings to diverse audiences. This is a unique opportunity to redefine performance at the highest level through advanced data utilization.
Responsibilities:
- Develop and execute a strategic vision for sports analytics and performance optimization.
- Lead, mentor, and manage a team of sports scientists, data analysts, and performance specialists.
- Oversee the collection, integration, and analysis of diverse data sources (performance, physiological, biomechanical, medical).
- Implement advanced analytical models, including predictive analytics and machine learning, to identify performance trends and opportunities.
- Collaborate with coaching staff to translate data insights into actionable training and game strategies.
- Develop and manage the technology infrastructure required for data collection and analysis.
- Communicate complex analytical findings clearly and effectively to athletes, coaches, and executive management.
- Drive innovation in performance measurement, feedback systems, and athlete monitoring.
- Establish and maintain best practices for data integrity, security, and ethical use.
- Stay at the forefront of research and development in sports science, analytics, and artificial intelligence.
- Ph.D. or Master's degree in Sports Science, Data Science, Statistics, Computer Science, or a related quantitative field.
- Minimum of 10 years of experience in sports analytics or performance science, with at least 5 years in a leadership role.
- Proven experience building and managing high-performing analytics teams in an elite sports setting.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency with analytical tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch).
- Deep understanding of various sports and their specific performance metrics.
- Exceptional leadership, strategic thinking, and problem-solving abilities.
- Outstanding communication, presentation, and interpersonal skills.
- Demonstrated ability to thrive and lead effectively in a fully remote environment.
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4
Graduate Trainee - Data Analytics and Business Intelligence
Posted 6 days ago
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Job Description
Our client, a rapidly expanding analytics firm, is offering an exceptional Graduate Trainee program designed for ambitious and data-curious individuals. This is a fully remote internship, providing a unique opportunity to gain hands-on experience in data analytics and business intelligence from anywhere in Kenya. As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects that drive business decisions. You will be involved in data collection, cleaning, transformation, and visualization. Key responsibilities include assisting in the development of reports and dashboards, conducting exploratory data analysis, and supporting the team in identifying trends and insights. You will gain exposure to various analytical tools and techniques, including SQL, Python, R, and BI platforms like Tableau or Power BI. The program is structured to provide comprehensive training and mentorship, fostering your professional growth. The ideal candidate will have recently graduated with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A strong academic record and a demonstrable passion for data analysis are essential. Familiarity with basic statistical concepts and programming languages (SQL, Python, or R) is highly advantageous. Excellent analytical, problem-solving, and communication skills are required. You must be a quick learner, highly motivated, detail-oriented, and able to work effectively both independently and as part of a remote team. This internship is an ideal stepping stone for individuals seeking to launch a career in data analytics and business intelligence, offering invaluable practical experience and industry exposure.
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Graduate Trainee - Data Analytics & Business Intelligence
Posted 20 days ago
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Job Description
Our client is offering a prestigious Graduate Trainee program focused on Data Analytics and Business Intelligence, designed for ambitious recent graduates eager to launch their careers in a high-demand field. This is a fully remote opportunity, providing comprehensive training and hands-on experience without the need for physical presence. As a Graduate Trainee, you will work closely with senior data scientists and business analysts, learning to collect, clean, analyze, and interpret complex datasets to derive actionable insights. You will be involved in developing reports, dashboards, and visualizations using tools like Tableau, Power BI, or similar platforms to communicate findings effectively. The program will cover essential data analysis techniques, statistical modeling, and the fundamentals of business intelligence. You will gain exposure to various data sources and learn how to extract, transform, and load (ETL) data efficiently. A key aspect of this traineeship is understanding business needs and translating them into data-driven solutions. You will have opportunities to contribute to real-world projects, assisting in identifying trends, forecasting future outcomes, and providing recommendations to improve business performance. Excellent analytical and problem-solving skills, a strong aptitude for numbers, and a keen attention to detail are essential. Familiarity with SQL and a programming language like Python or R is advantageous. This is an excellent stepping stone for a career in data science, analytics, or business intelligence. We are looking for individuals who are eager to learn, highly motivated, and can work effectively in a remote setting. This program supports our ongoing initiatives and aims to develop future talent for our organization, with an emphasis on foundational learning for roles supporting various business functions.
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Remote Graduate Trainee - Data Analytics & Business Intelligence
Posted 1 day ago
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Job Description
Our client, a global leader in providing innovative data solutions, is offering an exciting opportunity for a motivated and aspiring Graduate Trainee to join their fully remote Data Analytics & Business Intelligence team. This program is designed for recent graduates eager to launch their careers in the fast-paced world of data analysis. You will gain hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to derive actionable business insights. Working under the guidance of experienced data professionals, you will contribute to various projects, develop your technical skills, and learn to translate data into compelling stories that drive strategic decisions. This is an exceptional chance to immerse yourself in data science, business intelligence tools, and advanced analytical techniques within a supportive, remote work environment.
Responsibilities:
Qualifications:
This graduate program offers a unique pathway to a rewarding career in data analytics, providing comprehensive training and mentorship in a fully remote setting.
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.
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7
Junior Analyst - Data & Business Intelligence
Posted 9 days ago
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Job Description
Our client is seeking ambitious and analytical recent graduates for a Junior Analyst role in Data & Business Intelligence, offered as a fully remote position. This is an exceptional opportunity to launch your career in a data-driven environment, gaining hands-on experience in data analysis, reporting, and business intelligence. You will work closely with senior analysts and various business units to collect, interpret, and present data, supporting informed decision-making across the organization. Responsibilities include assisting in the development and maintenance of dashboards and reports, performing data cleaning and validation, and identifying trends and patterns within datasets. You will also contribute to the creation of ad-hoc analyses and presentations to communicate findings effectively. The ideal candidate possesses a strong quantitative background, with a degree in fields such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Proficiency in data analysis tools and methodologies is a plus, and a willingness to learn is essential. Experience with SQL, Excel, and any data visualization tools (e.g., Tableau, Power BI) is advantageous. As this is a fully remote role, excellent communication, problem-solving, and time management skills are required. You must be a proactive, detail-oriented individual who can work independently and collaboratively within a virtual team. We are looking for eager learners who are passionate about data and eager to contribute to business success, with the conceptual foundation supporting operations near Kitale, Trans-Nzoia, KE . This program offers comprehensive training and mentorship, providing a clear pathway for professional growth and development within our client's organization. We encourage applications from individuals who are eager to make a tangible impact through data.
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8
Principal Data Scientist, Analytics & Strategy
Posted 11 days ago
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Job Description
Our client, a leading management consultancy, is seeking a Principal Data Scientist to join their entirely remote analytics team. This senior role is critical for driving data-informed strategic decision-making for their diverse client base. You will be responsible for leading advanced analytics projects, developing predictive models, and translating complex data insights into actionable business strategies. The ideal candidate will possess a profound understanding of statistical modeling, machine learning, and data visualization techniques, coupled with strong business acumen and the ability to communicate technical findings to non-technical audiences.
Key Responsibilities:
Key Responsibilities:
- Lead the design and implementation of sophisticated data science solutions for clients across various industries.
- Develop and deploy machine learning models for predictive analytics, forecasting, and optimization.
- Perform complex data mining, cleansing, and transformation tasks to prepare datasets for analysis.
- Collaborate with client teams to understand their business challenges and identify opportunities for data-driven solutions.
- Present complex analytical findings and strategic recommendations to senior stakeholders in a clear and concise manner.
- Mentor and guide junior data scientists and analysts.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of best practices and methodologies within the analytics practice.
- Ensure the ethical and responsible use of data in all analytical endeavors.
- Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or Physics.
- Minimum of 8 years of experience as a Data Scientist, with a significant portion in a consulting environment.
- Expertise in statistical modeling, machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python or R, and experience with SQL.
- Strong experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Proven ability to lead projects and mentor team members in a remote setting.
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