3,656 Statistical Analyst jobs in Kenya

• Collect, clean, and process large sports-related datasets.
• Develop and apply statistical models to analyze player and team performance.
• Create predictive models for game outcomes, player development, and strategic planning.
• Visualize data and present findings through reports, dashboards, and presentations.
• Collaborate with coaches, athletes, and management to provide data-driven insights.
• Identify trends and patterns in sports data to inform decision-making.
• Stay updated on the latest advancements in sports analytics techniques and technologies.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of new analytical tools and methodologies.
• Communicate complex analytical concepts to diverse audiences.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical concepts and machine learning techniques.
• Deep knowledge and passion for one or more sports.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and manage projects in a remote environment.

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze sports performance data.
• Collect, clean, and process large datasets from various sources, including performance tracking, video analysis, and biometric sensors.
• Identify key performance indicators (KPIs) and develop dashboards to visualize trends and insights for coaches, athletes, and management.
• Provide objective, data-backed recommendations to improve player development, training regimens, and tactical decision-making.
• Conduct in-depth analysis of opponent strategies and identify competitive advantages.
• Collaborate closely with coaching staff and athletes to understand their needs and deliver tailored analytical support.
• Stay current with the latest trends and technologies in sports analytics and data science.
• Communicate complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
• Mentor and guide junior analysts, fostering a culture of continuous learning and improvement.
• Manage the deployment and maintenance of analytics platforms and tools.
• Ensure data integrity and privacy across all analytical processes.

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• At least 5 years of professional experience in sports analytics or a closely related field.
• Proven expertise in statistical modeling, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Deep understanding of various sports and their performance metrics.
• Excellent problem-solving and critical thinking abilities.
• Strong presentation and communication skills, with the ability to translate complex data into understandable insights.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Experience with SQL and database management.
• Knowledge of sports performance tracking systems is a plus.

• Collect, clean, and analyze large datasets related to sports performance, including player statistics, game events, and biomechanical data.
• Develop and implement statistical models to identify key performance indicators and predict outcomes.
• Create compelling visualizations and dashboards to communicate analytical insights effectively.
• Collaborate with coaches, athletes, and management to understand their data needs and provide tailored insights.
• Identify opportunities to improve team strategy, player development, and operational efficiency through data analysis.
• Research and stay updated on the latest trends and technologies in sports analytics and data science.
• Contribute to the development of data-driven decision-making processes within the organization.
• Design and evaluate experiments to test hypotheses related to performance and strategy.
• Maintain data integrity and ensure the security of sensitive information.
• Prepare reports and presentations summarizing findings and recommendations.

• Bachelor's degree in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 3 years of experience in sports analytics or a related data analysis role.
• Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical concepts, modeling techniques, and experimental design.
• A passion for sports and a solid understanding of various sports and their performance metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Ability to work independently and manage multiple projects in a remote setting.
• Experience with sports-specific analytics platforms or databases is a plus.

• Collect and clean sports performance data from various sources, including wearable devices, video analysis, and statistical databases.
• Develop and implement statistical models and machine learning algorithms to identify trends, predict outcomes, and optimize performance.
• Analyze game footage and athlete movements to extract key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for coaching staff and athletes.
• Create comprehensive reports and visualizations to communicate findings effectively.
• Collaborate with coaches and training staff to understand their needs and tailor analytical approaches.
• Stay current with the latest research and technologies in sports science, analytics, and performance optimization.
• Contribute to the development of new data collection and analysis methodologies.
• Ensure data integrity and confidentiality.
• Present findings and recommendations in a compelling manner to stakeholders.

• Design, develop, and implement HR analytics strategies and solutions.
• Analyze HR data to identify trends, patterns, and key drivers related to workforce planning, talent management, employee engagement, and retention.
• Develop and maintain HR dashboards and reports to visualize key metrics and insights.
• Conduct predictive modeling to forecast workforce needs, identify flight risks, and assess talent pipeline strength.
• Partner with HR business partners and leadership to understand business needs and translate them into analytical requirements.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Ensure data integrity, accuracy, and compliance with data privacy regulations.
• Stay current with the latest trends and best practices in HR analytics and people data science.
• Advise on the strategic use of HR data to improve organizational effectiveness and employee experience.
• Collaborate with IT and data management teams to ensure robust data infrastructure.

• Master's degree in Human Resources, Statistics, Data Science, Business Analytics, or a related field.
• Minimum of 7 years of experience in HR analytics, people analytics, or a related data-focused HR role.
• Proven expertise in statistical analysis, predictive modeling, and data visualization tools (e.g., Tableau, Power BI, SQL, Python/R).
• Strong understanding of HR functions, including talent acquisition, talent management, compensation, performance management, and employee relations.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional written and verbal communication and presentation skills.
• Ability to work independently and manage multiple complex projects in a remote environment.
• Experience with HRIS systems (e.g., Workday, SAP SuccessFactors) is a plus.
• Demonstrated ability to influence stakeholders and drive data-informed decision-making.
• Strong ethical grounding and commitment to data privacy.

Summary
The Senior Research Analyst is responsible for internal project management and report writing. This role requires the ability to effectively communicate with stakeholders, manage multiple projects and analyze complex data sets, synthesize information, and present findings in a clear and concise manner. To be successful in this role, you must have strong communication skills, excellent analytical skills, attention to detail, and the ability to multitask.

Responsibilities
Participate in client meetings to ensure comprehension of client needs.

Support in writing RFPs, questionnaire design, writing research reports, strategic recommendations and client presentation.

Create statistical analysis and reporting plans, conducting analysis of results.

Full cycle project management in collaboration with the operations team to ensure quality control and adherence to project timelines, such as validating the questionnaire's test link, interviewer training, coordinating field implementation, follow-up and validation of the pre-test, daily project field monitoring, project follow-up and coordinating end of fieldwork stages.

Qualifications
Bachelor's or Master's in Sociology, Psychology, Business or related field

Minimum 4 years' work experience in client facing/customer service roles

Minimum with 2 years' Market Research experience as a Market Research Analyst, preferably on supplier side research.

Skills
Strong Project Management skill: Adept managing multiple projects and timelines at once.

Strong Client Management skill: Adept at nurturing client relationships, understanding client needs and helping clients in solving their business problems with research.

Excellent communication and presentation skills: Ability to convey complex data and insights in a clear and compelling manner.

Excellent analytical skills: Ability to examine and interpret data with keen attention to detail; identify trends, patterns, and insights, and draw meaningful conclusions that is useful for decision-making.