314 Sports Research jobs in Kenya

• Develop, implement, and manage comprehensive engineering apprenticeship programs aligned with industry needs and company objectives.
• Lead the recruitment and selection process for apprentices, partnering with educational institutions and outreach organizations.
• Collaborate with engineering departments and subject matter experts to define apprenticeship curriculum, learning objectives, and on-the-job training components.
• Establish and maintain strong relationships with apprentice mentors, providing them with support and resources.
• Monitor apprentice progress, conduct regular performance reviews, and provide constructive feedback to ensure successful completion of the program.
• Develop and manage program budgets, ensuring cost-effectiveness and resource allocation.
• Ensure compliance with all relevant apprenticeship regulations, standards, and reporting requirements.
• Organize and facilitate program events, workshops, and networking opportunities for apprentices and stakeholders.
• Collect and analyze program data, generating reports on key metrics such as enrollment, completion rates, skill attainment, and post-program employment.
• Act as a key liaison between apprentices, mentors, engineering managers, and external partners.
• Continuously evaluate and improve program content and delivery methods based on feedback and industry trends.
• Champion the apprenticeship program within the organization and externally.

• Bachelor's degree in Engineering, Human Resources, Education, Business Administration, or a related field.
• Minimum of 5 years of experience in program management, talent development, or a related role, with a focus on apprenticeship or technical training programs.
• Strong understanding of engineering disciplines and the skills required for successful careers in the field.
• Excellent organizational, project management, and time management skills.
• Exceptional interpersonal and communication skills, with the ability to build rapport and influence stakeholders at all levels.
• Experience in remote program management and coordinating virtual learning activities.
• Proficiency in MS Office Suite and experience with learning management systems (LMS) or HRIS platforms is desirable.
• Ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
• A passion for mentorship, education, and career development.
• Demonstrated ability to adapt to changing needs and innovate program delivery.

About this Position
Executes engineering processes ensuring that quality products are delivered on-time at competitive cost

What You´ll Do

• Liaises with other stakeholders in order to provide professional support and advice
• Strives for improvements and efficiencies in Engineering and Maintenance processes
• Monitors KPIs for engineering processes
• Execute and monitor Capex and Opex projects
• Maintains up-to-date knowledge of technical development and trends in the field of expertise

What makes you a good fit

• Problem solving
• Innovative
• Decision Making
• Project management
• Process safety

Some perks of joining Henkel

• Globally wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Performance Bonus
• Annual 1 month bonus
• Comprehensive Accident and Life Assurance cover of 5yrs - 8yrs Gross salary
• Comprehensive Health Insurance cover for employee+4 dependents

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.

• Planning, executing, and finalizing R&D projects according to strict deadlines and within budget, utilizing appropriate tools and techniques.
• Defining project scope, goals, and deliverables in collaboration with senior management and stakeholders.
• Developing comprehensive project plans, including resource allocation, timelines, and risk assessments.
• Managing project budgets, tracking expenditures, and ensuring financial accountability.
• Coordinating the efforts of internal team members and third-party vendors or consultants.
• Communicating project updates, issues, and risks to stakeholders through regular reports and meetings.
• Facilitating effective communication and collaboration among remote R&D teams, including scientists, researchers, and technical staff.
• Identifying and managing project dependencies and critical paths.
• Proactively managing changes in project scope, identifying potential crises, and devising contingency plans.
• Ensuring that all projects are delivered according to quality standards and regulatory requirements.

• Master's degree or Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Biotechnology) or a related technical field.
• A minimum of 7 years of progressive experience in project management within the R&D sector, preferably in the biotechnology or pharmaceutical industry.
• Proven track record of successfully managing complex, multi-faceted R&D projects from initiation to closure.
• Strong understanding of research methodologies, scientific processes, and regulatory landscapes (e.g., FDA, EMA).
• Excellent knowledge of project management principles and methodologies (e.g., Agile, Waterfall).
• Proficiency with project management software (e.g., MS Project, Jira, Asana).
• Exceptional leadership, communication, negotiation, and interpersonal skills, adapted for a remote working environment.
• Demonstrated ability to lead and motivate remote teams, manage stakeholders, and resolve conflicts effectively.
• Strong analytical and problem-solving skills.
• PMP or PRINCE2 certification is highly desirable.

• Collect, analyze, and interpret performance data from various sources (e.g., GPS, heart rate monitors, video analysis).
• Develop and implement standardized protocols for data collection and analysis.
• Provide detailed performance reports and insights to athletes, coaches, and support staff.
• Identify trends and patterns in athlete performance to inform training strategies.
• Collaborate with coaches to integrate performance data into training plans.
• Monitor athlete training load, recovery, and injury risk factors.
• Stay current with advancements in sports science, biomechanics, and performance analytics.
• Manage and maintain performance databases and tracking systems.
• Contribute to the development of innovative performance assessment tools.
• Ensure the ethical and confidential use of athlete data.

• Master's degree in Sports Science, Exercise Physiology, Biomechanics, or a related field.
• 5+ years of experience in sports performance analysis, preferably within professional sports or high-performance settings.
• Proficiency with sports analytics software and data visualization tools (e.g., Catapult, STATSports, Tableau).
• Strong understanding of physiological testing, biomechanical principles, and training methodologies.
• Excellent analytical and problem-solving skills.
• Superior communication and presentation skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and manage multiple projects in a remote environment.
• Experience with statistical analysis and modeling.
• A passion for sports and a commitment to athlete development.

• Leading and mentoring a team of sports analysts.
• Developing and implementing advanced analytical models for athlete and team performance.
• Designing data collection protocols and ensuring data integrity.
• Identifying key performance indicators and providing strategic recommendations.
• Translating complex data findings into clear, actionable insights for coaches and athletes.
• Collaborating with sports science, coaching, and medical staff.
• Staying current with the latest trends in sports analytics and technology.
• Presenting findings and recommendations to senior management.
• Managing the analytics technology stack and ensuring its effectiveness.

• Master's or Ph.D. in Statistics, Data Science, Sports Science, or a related quantitative field.
• At least 8 years of experience in sports analytics, with a significant portion in a leadership role.
• Expertise in statistical modeling, machine learning, and predictive analytics.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with sports-specific data sources and analytical techniques.
• Strong understanding of athletic performance principles and various sports.
• Excellent leadership, communication, and presentation skills.
• Proven ability to work effectively in a fully remote and collaborative environment.

• Develop and implement comprehensive data analytics strategies to support athletic performance and operational efficiency.
• Collect, clean, and analyze large datasets from various sources including performance metrics, injury data, scouting reports, and fan engagement.
• Create predictive models to forecast player performance, identify talent, and assess risk factors.
• Design and conduct A/B testing on training methodologies and tactical approaches.
• Collaborate closely with coaching staff, sports scientists, and medical teams to provide data-driven recommendations.
• Present findings and insights through clear, concise reports and engaging visualizations to stakeholders at all levels.
• Stay abreast of the latest advancements in sports analytics, data science, and related technologies.
• Manage and mentor a team of junior analysts, fostering a culture of data-driven decision-making.
• Ensure data integrity, security, and compliance with relevant privacy regulations.
• Develop and maintain dashboards for real-time performance monitoring and strategic planning.
• Contribute to the overall strategic direction of the sports division through insightful data analysis.
• Work closely with technology partners to integrate new data sources and analytical tools.
• Communicate complex analytical concepts to non-technical audiences effectively.

• Master's degree or PhD in Sports Science, Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5-7 years of experience in sports analytics, with a proven track record of delivering impactful insights.
• Strong proficiency in statistical software packages (e.g., R, Python, SPSS) and database management (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Expertise in machine learning algorithms and predictive modeling.
• In-depth knowledge of various sports (e.g., football, rugby, athletics) and their performance metrics.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects simultaneously and meet tight deadlines.
• Experience in leading and mentoring teams is highly desirable.
• Familiarity with sports performance tracking technologies.

• 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.