1,451 Remote Sports Analytics Consultant jobs in Kenya
Remote Sports Analytics Manager (Remote)
Posted today
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Job Description
Our client is looking for a data-driven and passionate Remote Sports Analytics Manager to join their dynamic team. This role is fully remote, focusing on leveraging advanced analytics to enhance performance and strategy within the sports domain. You will be responsible for collecting, analyzing, and interpreting complex sports data to provide actionable insights to coaches, athletes, and management. The ideal candidate will possess a strong background in sports science, data analytics, statistics, or a related field, with proven experience in applying analytical techniques to sports performance. Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., R, Python), and database management is essential. You will work on projects ranging from player performance evaluation and injury prevention to game strategy optimization and fan engagement. Key responsibilities include developing predictive models, identifying key performance indicators, and communicating findings through clear reports and presentations. The ability to translate complex data into easily understandable insights for non-technical stakeholders is critical. This position requires exceptional analytical, problem-solving, and communication skills, with a deep understanding of sports dynamics. This is a fantastic opportunity for an analytics professional to contribute to the world of sports and make a tangible impact on team and athlete success, all from a remote location. The successful candidate will be a highly motivated individual with a passion for sports and a commitment to using data to drive excellence.
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Sports Analytics Manager, Remote
Posted 21 days ago
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Job Description
Our client, a forward-thinking organization within the leisure and sports industry, is seeking an experienced Sports Analytics Manager to lead their remote analytics division. This is a pivotal, fully remote, full-time role focused on leveraging data to drive strategic decisions, enhance performance, and deepen fan engagement. The ideal candidate will possess a strong background in sports analytics, statistical modeling, data visualization, and a passion for sports. You will be responsible for developing and implementing advanced analytical frameworks to extract actionable insights from various data sources, including performance metrics, fan behavior, and market trends. Key responsibilities include designing experiments, building predictive models, analyzing team and player performance, and creating insightful reports and dashboards for coaches, management, and marketing teams. The ability to communicate complex data findings clearly and persuasively to diverse stakeholders is paramount. This remote role requires exceptional analytical, technical, and leadership skills. You must be adept at managing remote data science and analytics teams, fostering collaboration, and ensuring the strategic application of insights across the organization. We are looking for a highly analytical and proactive individual with a proven track record of using data to influence decision-making in a sports context. Your expertise will be crucial in optimizing team strategies, player development, and fan experience initiatives. The successful candidate will thrive in a dynamic, data-driven environment and demonstrate a commitment to innovation and excellence in sports analytics. We offer a competitive compensation package and the chance to make a significant impact on the future of sports performance and engagement.
Responsibilities:
Responsibilities:
- Lead the development and implementation of advanced sports analytics strategies.
- Design, build, and maintain statistical models to analyze team and player performance.
- Extract and interpret data from various sources, including performance tracking systems, fan engagement platforms, and market data.
- Develop compelling data visualizations and reports to communicate key insights to stakeholders.
- Collaborate with coaches, management, and marketing teams to translate data insights into actionable strategies.
- Identify trends and opportunities for performance improvement and fan engagement.
- Manage and mentor a remote team of data analysts and scientists.
- Stay abreast of the latest advancements in sports analytics, statistical techniques, and relevant technologies.
- Ensure data integrity and accuracy across all analytical initiatives.
- Present findings and recommendations to senior leadership.
- Master's degree in Statistics, Data Science, Sports Analytics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a closely related field.
- Proven experience in statistical modeling, machine learning, and data visualization.
- Proficiency in programming languages such as Python or R, and database querying languages like SQL.
- Experience with sports-specific data platforms and analytical tools is highly desirable.
- 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 complex data to non-technical audiences.
- Proven leadership experience, with the ability to manage and inspire a remote team.
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Lead Sports Analytics Manager - Remote
Posted 21 days ago
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Job Description
Our client is seeking a visionary and highly analytical Lead Sports Analytics Manager to spearhead their data-driven performance initiatives. This is a fully remote position, perfect for a passionate individual who excels at transforming raw data into actionable insights that drive athletic success. You will be responsible for leading a team of analysts, developing sophisticated statistical models, and designing comprehensive analytics strategies across various sports disciplines. The ideal candidate will possess a deep understanding of sports performance metrics, advanced statistical techniques, and data visualization tools. You will collaborate closely with coaches, athletes, and management to identify key performance indicators (KPIs), interpret complex data sets, and provide strategic recommendations to enhance player development, team strategy, and competitive advantage. Your role will involve overseeing the collection, cleaning, and analysis of large volumes of sports-related data from training, competition, and other sources. You will champion the use of advanced analytics to uncover hidden trends, predict outcomes, and optimize training regimens. This position requires exceptional leadership skills to mentor and guide your team, fostering a culture of continuous learning and innovation. You will present findings and recommendations to stakeholders at all levels, effectively communicating the value of data analytics. The successful candidate will be adept at using tools such as Python, R, SQL, and visualization software like Tableau or Power BI. Experience with machine learning algorithms applied to sports is highly desirable. You will stay abreast of the latest trends in sports science, analytics, and technology to ensure our client remains at the forefront of the industry. Proactive identification of opportunities to leverage data for strategic decision-making is crucial. This role demands a blend of technical expertise, strategic thinking, and strong interpersonal skills to effectively integrate data insights into the core of sports operations. The ability to manage multiple projects simultaneously and deliver high-quality results in a remote setting is essential.
Responsibilities:
Responsibilities:
- Lead and mentor a team of sports analytics professionals.
- Develop and implement advanced statistical models and analytical frameworks for sports performance.
- Oversee data collection, cleaning, and processing for diverse sports datasets.
- Analyze performance data to identify trends, predict outcomes, and provide strategic insights.
- Collaborate with coaches, athletes, and management to define KPIs and inform decision-making.
- Develop data visualization tools and reports to effectively communicate findings.
- Research and integrate new analytical techniques and technologies.
- Present complex analytical results to non-technical audiences.
- Ensure the integrity and accuracy of all data analyses.
- Master's or Ph.D. in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- 5+ years of experience in sports analytics, with proven leadership capabilities.
- Expertise in statistical modeling, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Deep understanding of sports performance metrics and analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Ability to lead and inspire a remote team.
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Senior Sports Analytics Manager, Remote
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and data-driven Senior Sports Analytics Manager to lead insights generation for their sports division. This is a fully remote position, allowing you to leverage your expertise to enhance performance and strategy from your home office. The ideal candidate will have a strong background in sports analytics, data science, statistical modeling, and performance analysis. Your responsibilities will include collecting, cleaning, and analyzing complex datasets related to player performance, team dynamics, and strategic outcomes. You will develop predictive models, identify key performance indicators (KPIs), and translate data findings into actionable insights for coaches, athletes, and management. A deep understanding of various sports and their specific metrics is essential. Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) and experience with data visualization tools (e.g., Tableau, Power BI) are required. You will be responsible for managing analytics projects, mentoring junior analysts, and collaborating with stakeholders to ensure data-informed decision-making. Experience in performance enhancement, scouting analytics, or fan engagement strategies is highly desirable. The role requires exceptional communication skills to present complex findings clearly and concisely to both technical and non-technical audiences. We are looking for a proactive individual with a passion for sports and a commitment to leveraging data to drive competitive advantage. This is an outstanding opportunity to make a significant impact on sports performance and strategy in a flexible, remote-first environment. If you are a seasoned analytics professional with a love for sports, we encourage you to apply.
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Senior Sports Analytics Manager - Remote Insights
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and strategic Senior Sports Analytics Manager to join their growing team. This role is fully remote, allowing you to leverage data to drive performance and strategic decisions from anywhere. You will be responsible for developing and implementing advanced analytical frameworks to assess player performance, team strategy, and game outcomes across various sports. Your work will directly influence coaching decisions, player development programs, and overall competitive strategy. The ideal candidate possesses a strong quantitative background, deep knowledge of sports, and exceptional skills in data visualization and statistical modeling. Collaboration with coaches, athletes, and front-office staff in a virtual setting is a key component of this role.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced analytical models for player and team performance evaluation.
- Collect, clean, and analyze large datasets from various sports sources, including in-game statistics, tracking data, and scouting reports.
- Translate complex data findings into clear, actionable insights for coaches, athletes, and management.
- Develop predictive models for game outcomes, player potential, and strategic decision-making.
- Create compelling data visualizations and dashboards to communicate key insights effectively.
- Collaborate closely with coaching staff to understand their analytical needs and provide tailored solutions.
- Stay abreast of the latest trends and technologies in sports analytics and data science.
- Mentor junior analysts and contribute to the development of the analytics team.
- Ensure data integrity and manage data pipelines for efficient analysis.
- Communicate findings and recommendations clearly through presentations and reports in a remote setting.
Qualifications:
- Master's degree in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in sports analytics or a related field, with a proven track record of impactful contributions.
- Deep understanding of various sports, their rules, strategies, and performance metrics.
- Proficiency in statistical programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, dplyr).
- Experience with database management and SQL.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, critical thinking, and problem-solving skills.
- Superior communication and presentation skills, with the ability to explain complex data to non-technical audiences remotely.
- Proven ability to work independently and as part of a distributed team.
- A passion for sports and a data-driven approach to performance improvement.
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Senior Sports Analytics Manager - Remote Performance Optimization
Posted 6 days ago
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Job Description
Our client, a forward-thinking organization in the leisure and sports sector, is seeking a highly analytical Senior Sports Analytics Manager to lead their remote performance analytics initiatives. This role is crucial for leveraging data to enhance athletic performance, optimize team strategies, and improve overall sports operations. As a fully remote professional, you will be responsible for collecting, analyzing, and interpreting complex datasets related to player statistics, game performance, training regimes, and injury prevention. Your key responsibilities will include developing predictive models, creating performance dashboards, and providing actionable insights to coaches, athletes, and management. The ideal candidate will possess a strong background in sports science, data analytics, or a related quantitative field, with a proven track record in applying analytical techniques to sports contexts. Proficiency in data analysis tools and programming languages such as Python, R, SQL, and experience with visualization tools like Tableau or Power BI are essential. Excellent communication skills are required to translate complex data findings into clear, concise recommendations for diverse stakeholders in a virtual environment. This role demands a proactive, detail-oriented individual who can manage multiple projects independently and contribute to a collaborative remote team. You will play a key role in shaping data-driven decision-making processes within the organization, driving improvements in performance and strategic planning, all while enjoying the flexibility of a fully remote work arrangement from anywhere. While our reach extends to Garissa, Garissa, KE , this position is entirely remote, offering a unique opportunity to influence sports performance through advanced analytics. If you are a passionate data expert with a deep understanding of sports, we encourage you to apply for this exciting remote role.
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5
Supply Chain Analytics Manager (Remote)
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and strategic Supply Chain Analytics Manager to lead their data-driven initiatives within the logistics and warehousing domain, operating entirely remotely. This role is crucial for transforming vast amounts of supply chain data into actionable insights that will optimize performance, reduce costs, and enhance efficiency across the entire network. The ideal candidate will possess deep expertise in data analysis, statistical modeling, supply chain metrics, and advanced analytics tools. You will be responsible for developing dashboards, predictive models, and strategic recommendations to guide decision-making for a global, remote team.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced analytics strategies to optimize supply chain operations, including inventory management, transportation, and warehousing.
- Design, build, and maintain comprehensive dashboards and reports to track key performance indicators (KPIs) across the supply chain.
- Utilize statistical modeling and machine learning techniques to forecast demand, identify trends, and predict potential disruptions.
- Analyze complex datasets to identify opportunities for cost reduction, efficiency improvements, and service level enhancements.
- Collaborate closely with logistics, warehousing, and operations teams to understand their analytical needs and provide data-driven solutions.
- Develop and implement data quality standards and ensure the accuracy and reliability of supply chain data.
- Present findings and recommendations to senior management and cross-functional teams, translating complex data into clear business insights.
- Stay abreast of the latest advancements in supply chain analytics tools and methodologies.
- Mentor and guide junior analysts within the remote team.
- Champion a data-driven culture throughout the supply chain organization.
- Master's degree in Supply Chain Management, Data Science, Statistics, Operations Research, or a related quantitative field.
- A minimum of 7-9 years of experience in supply chain analytics, operations research, or a similar analytical role.
- Proven experience in developing and implementing advanced analytical models and dashboards for supply chain optimization.
- Expertise in data analysis tools and programming languages such as SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
- Strong understanding of supply chain processes, including inventory management, warehousing, transportation, and logistics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to effectively convey complex data insights to diverse, remote audiences.
- Experience working with large datasets and distributed data platforms.
- Ability to work independently, manage multiple projects, and prioritize effectively in a remote setting.
- Experience in predictive modeling and forecasting techniques is highly desirable.
- Knowledge of supply chain operations relevant to the region of Thika, Kiambu, KE would be an asset.
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Remote Supply Chain Analytics Manager
Posted 21 days ago
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Job Description
Our client is looking for a highly analytical and strategically minded Remote Supply Chain Analytics Manager to optimize their global logistics and warehousing operations. This fully remote position requires an individual who can leverage data to drive efficiency, reduce costs, and enhance overall supply chain performance. You will be instrumental in developing and implementing advanced analytics models, dashboards, and reporting tools to provide actionable insights across the entire supply chain lifecycle, from procurement and inventory management to distribution and last-mile delivery. The successful candidate will possess a strong background in supply chain management, advanced data analysis techniques, and proficiency with relevant software.
Key Responsibilities:
Key Responsibilities:
- Develop and implement sophisticated analytical models to identify trends, forecast demand, and optimize inventory levels across multiple warehouses.
- Design, build, and maintain automated dashboards and reports using BI tools (e.g., Tableau, Power BI) to monitor key supply chain performance indicators (KPIs).
- Analyze transportation costs, delivery times, and carrier performance to identify areas for improvement and cost savings.
- Collaborate with logistics and operations teams to identify operational bottlenecks and implement data-driven solutions.
- Develop and manage supply chain risk assessment models and contingency plans.
- Evaluate and recommend technology solutions to enhance supply chain visibility and efficiency.
- Present complex data analysis and insights in a clear and concise manner to stakeholders at all levels.
- Stay current with industry best practices and emerging technologies in supply chain analytics and logistics.
- Mentor and develop junior analysts within the supply chain team.
- Contribute to the strategic planning and decision-making processes for the supply chain department.
- Bachelor's degree in Supply Chain Management, Logistics, Statistics, Data Science, Engineering, or a related quantitative field. Master's degree preferred.
- Minimum of 6 years of experience in supply chain management or logistics, with at least 3 years focused on data analytics.
- Proven expertise in statistical analysis, forecasting, and optimization techniques.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills.
- Strong knowledge of SQL for data extraction and manipulation. Experience with Python or R for statistical modeling is a plus.
- Familiarity with Enterprise Resource Planning (ERP) systems and Warehouse Management Systems (WMS).
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation abilities, with the capacity to translate complex data into business recommendations.
- Ability to thrive in a fast-paced, autonomous remote work environment.
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Senior HR Technology and Analytics Manager (Remote)
Posted 21 days ago
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Job Description
Our client is seeking an accomplished Senior HR Technology and Analytics Manager to lead their remote HR technology initiatives and data analytics efforts. This role is instrumental in leveraging HR technology to enhance workforce insights, streamline HR processes, and support strategic decision-making. You will be responsible for the selection, implementation, and ongoing optimization of HR information systems (HRIS), talent management platforms, and other HR technologies. Furthermore, you will drive the development and execution of HR analytics strategies, transforming raw data into actionable insights on workforce planning, talent acquisition, employee engagement, and performance management. Key responsibilities include managing HR technology vendors, ensuring data integrity and security, designing and building HR dashboards and reports, and providing analytical support to HR business partners and senior leadership. The ideal candidate will possess a deep understanding of HRIS platforms (e.g., Workday, SAP SuccessFactors), HR analytics tools (e.g., Power BI, Tableau), and statistical analysis methods. Proven experience in project management, change management, and a strong business acumen are essential. Excellent communication and stakeholder management skills are required to effectively translate complex data into clear, business-relevant recommendations. This is a fully remote position, requiring strong self-discipline and the ability to collaborate effectively in a virtual setting. A Bachelor's degree in Human Resources, Information Systems, Data Science, or a related field, with a minimum of 6 years of experience in HR technology and analytics, is required. Certifications in HR analytics or HRIS implementation are a plus. Join our client in shaping a data-driven HR function and optimizing the employee experience through technology. The strategic direction and analytical insights generated by this role will be particularly relevant to the workforce considerations in Eldoret, Uasin Gishu, KE .
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Senior Marketing Analytics Manager - Remote
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and strategic Senior Marketing Analytics Manager to lead their data-driven marketing initiatives. This is a fully remote position requiring a deep expertise in marketing performance measurement, data analysis, and strategic insight generation. You will be responsible for transforming raw marketing data into actionable intelligence that informs campaign optimization, budget allocation, and overall marketing strategy. The ideal candidate will possess advanced analytical skills, proficiency in data visualization tools, and the ability to communicate complex findings to diverse stakeholders in a remote setting.
Key Responsibilities:
Key Responsibilities:
- Develop and maintain key performance indicators (KPIs) for all marketing channels and campaigns.
- Conduct in-depth analysis of marketing data from various sources (web analytics, CRM, ad platforms, etc.).
- Build and manage marketing dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
- Perform attribution modeling and ROI analysis to measure the effectiveness of marketing investments.
- Identify trends, opportunities, and challenges within the marketing data and provide strategic recommendations.
- Collaborate closely with marketing channel managers, product teams, and leadership to drive data-informed decisions.
- Develop A/B testing strategies and analyze test results to optimize campaign performance.
- Stay up-to-date with the latest analytical techniques and marketing technologies.
- Ensure data integrity and accuracy across all marketing data sources.
- Present complex analytical findings in a clear, concise, and compelling manner to remote audiences.
- Bachelor's or Master's degree in Marketing Analytics, Statistics, Economics, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in marketing analytics, data analysis, or a similar role.
- Advanced proficiency in SQL for data extraction and manipulation.
- Expertise in web analytics tools such as Google Analytics.
- Strong experience with data visualization tools like Tableau, Power BI, or Looker.
- Solid understanding of statistical concepts and techniques, including regression analysis.
- Experience with marketing automation platforms and CRM systems is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for effective remote collaboration and presentation.
- Ability to work independently and manage multiple projects simultaneously in a remote environment.
- Familiarity with A/B testing methodologies and optimization.
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