Statistical analysis jobs are in demand across various sectors, reflecting the increasing importance of data-driven decision-making. Professionals skilled in statistical modeling, data mining, and predictive analytics are sought after to interpret complex datasets and provide actionable insights. These roles exist in finance, healthcare, marketing, and research, requiring expertise in statistical software like R, Python, and SAS.What Jobs are available for Statistical Analysis in Kenya?
Showing 2432 Statistical Analysis jobs in Kenya
Senior Geologist - Remote Data Interpretation
Posted 2 days ago
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Job Description
Our client is seeking a highly experienced Senior Geologist with specialized expertise in remote data interpretation and analysis. This is a fully remote position, enabling you to contribute your geological insights from any location. You will be responsible for analyzing geological data, including geophysical surveys, well logs, and seismic data, to identify and evaluate mineral deposits or hydrocarbon potential. Your role will involve utilizing advanced software and techniques for geological modeling, resource estimation, and risk assessment. The ideal candidate will possess a deep understanding of geological principles, extensive experience in interpreting complex subsurface data, and proficiency with industry-standard geological software. You will collaborate closely with exploration teams, geophysicists, and engineers, providing critical geological input to guide exploration and development strategies. Responsibilities include preparing detailed geological reports, making recommendations for drilling targets, and contributing to resource modeling. This role demands strong analytical skills, meticulous attention to detail, and the ability to work independently in a remote setting. You will play a pivotal role in guiding our client's exploration efforts and ensuring efficient resource discovery and management. A proactive approach to problem-solving and a commitment to geological best practices are essential. This is a unique opportunity to apply your geological expertise to significant projects, impacting resource exploration and development globally, all while enjoying the flexibility of remote work.
Responsibilities:
Qualifications:
Responsibilities:
- Interpret and analyze diverse geological data sets (geophysical, well logs, seismic).
- Develop geological models and resource estimations.
- Identify and evaluate potential mineral or hydrocarbon deposits.
- Provide geological guidance for exploration and drilling programs.
- Prepare comprehensive geological reports and presentations.
- Assess geological risks and uncertainties.
- Collaborate with exploration and engineering teams.
- Utilize advanced geological modeling and interpretation software.
- Stay abreast of geological research and industry best practices.
- Contribute to strategic exploration planning.
Qualifications:
- Master's degree or PhD in Geology, Geophysics, or a related field.
- Minimum of 8 years of experience in geological interpretation and exploration.
- Proven expertise in analyzing geophysical, seismic, and well log data.
- Proficiency with geological modeling software (e.g., Petrel, Leapfrog, ArcGIS).
- Strong understanding of structural geology, stratigraphy, and sedimentology.
- Excellent analytical and problem-solving skills.
- Effective written and verbal communication abilities.
- Experience working independently in a remote environment.
- Familiarity with resource estimation techniques.
- Ability to manage multiple projects and meet deadlines.
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Agricultural Data Scientist & Analyst
Posted 2 days ago
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Job Description
Our client, a pioneering agricultural technology firm, is looking for a skilled Agricultural Data Scientist & Analyst to join their fully remote team. This position offers a unique opportunity to leverage data to drive innovation and sustainability in the agriculture sector. You will be responsible for collecting, cleaning, analyzing, and interpreting vast datasets related to crop yields, soil health, weather patterns, pest infestations, and farm management practices. Your insights will help farmers make informed decisions, optimize resource allocation, and improve overall productivity. Key responsibilities include developing predictive models for crop forecasting, disease detection, and yield optimization. You will design and implement data visualization tools and dashboards to communicate complex findings to stakeholders, including farmers, agronomists, and research teams. Experience with statistical modeling, machine learning techniques, and big data technologies is crucial. Proficiency in programming languages such as Python or R, and experience with SQL databases and data manipulation libraries (e.g., Pandas, NumPy) are required. Familiarity with GIS software and remote sensing data is a strong advantage. You should possess a deep understanding of agricultural principles and challenges, coupled with strong analytical and problem-solving skills. This is a remote position, requiring you to work independently and collaboratively with a distributed team. Excellent communication skills are essential to present findings and recommendations effectively. A Bachelor's or Master's degree in Agricultural Science, Data Science, Statistics, Computer Science, or a related field is required. If you are passionate about using data to revolutionize farming and contribute to global food security, we encourage you to apply for this impactful role.
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Sports Analytics Specialist
Posted 2 days ago
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Job Description
Our client is seeking a highly analytical and sports-passionate individual to join their team as a Sports Analytics Specialist. This fully remote position allows you to leverage your data science and statistical modeling skills to uncover insights and enhance performance strategies within the exciting world of sports. You will be instrumental in analyzing game data, player performance, and market trends to provide actionable recommendations. This role offers a unique opportunity to shape data-driven decision-making for teams and organizations, with a focus on sports contexts relevant to Kakamega, Kakamega, KE and beyond.
Responsibilities:
Responsibilities:
- Collect, clean, and process large datasets from various sports sources (e.g., game statistics, player tracking data, performance metrics).
- Develop and implement statistical models and machine learning algorithms to analyze sports data.
- Identify key performance indicators (KPIs) and metrics relevant to different sports and team objectives.
- Translate complex analytical findings into clear, concise, and actionable insights for coaches, management, and stakeholders.
- Create visualizations and dashboards to effectively communicate performance trends and strategic recommendations.
- Collaborate with sports teams, coaches, and performance staff to understand their analytical needs and challenges.
- Conduct predictive modeling for player performance, game outcomes, and injury risk.
- Analyze scouting data and identify potential talent through data-driven approaches.
- Stay abreast of the latest trends and advancements in sports analytics and data science.
- Contribute to the development of data collection methodologies and tools.
- Evaluate the effectiveness of implemented strategies and recommend adjustments.
- Ensure data integrity and confidentiality throughout the analysis process.
- Present findings and insights in a compelling manner, both written and verbal.
- Engage in research projects to explore new analytical techniques and applications in sports.
- Bachelor's or Master's degree in Data Science, Statistics, Sports Science, Computer Science, Mathematics, or a related quantitative field.
- Proven experience in data analysis, statistical modeling, and machine learning, preferably within a sports context.
- 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).
- Strong understanding of statistical concepts and hypothesis testing.
- Familiarity with sports rules, strategies, and performance metrics across various disciplines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Passion for sports and a deep understanding of its competitive landscape.
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2
Junior Data Analyst & Reporting Specialist (Remote)
Posted 2 days ago
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Job Description
Our client is seeking an eager and detail-oriented Junior Data Analyst & Reporting Specialist to join their growing, fully remote team. This is an excellent opportunity for a recent graduate or an individual looking to kick-start their career in data analysis and business intelligence. You will play a key role in collecting, cleaning, analyzing, and visualizing data to support informed decision-making across various departments. The ideal candidate is passionate about data, possesses strong analytical skills, and has a foundational understanding of statistical concepts. You will work closely with senior analysts and business stakeholders to understand data needs, identify trends, and generate insightful reports. This role is designed to provide comprehensive training and mentorship, allowing you to develop your skills in a supportive, remote-first environment. You will be responsible for managing datasets, performing exploratory data analysis, creating dashboards and reports using tools like Excel, SQL, and potentially BI platforms, and ensuring data accuracy and integrity. The ability to communicate findings clearly, both visually and verbally, is essential. As a remote employee, you will be expected to manage your time effectively, collaborate proactively with team members through digital channels, and maintain a high level of productivity. Our client values initiative, a willingness to learn, and a proactive approach to problem-solving. You will have the chance to contribute to meaningful projects and gain hands-on experience in a fast-paced industry.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports and dashboards using data visualization tools.
- Support senior analysts in generating insights and actionable recommendations.
- Ensure data accuracy, consistency, and integrity in all reporting activities.
- Collaborate with team members remotely using collaboration tools.
- Assist in defining key performance indicators (KPIs) and tracking progress.
- Learn and apply new data analysis techniques and tools.
- Document data sources, methodologies, and report specifications.
- Contribute to data-driven decision-making processes.
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel, including formulas, pivot tables, and charting.
- Basic knowledge of SQL for data querying is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
- Excellent attention to detail and organizational skills.
- Effective written and verbal communication skills, especially in a remote context.
- Ability to work independently and manage time effectively in a remote setting.
- A strong desire to learn and grow in the field of data analytics.
- Previous internship or project experience in data analysis is a bonus.
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3
Remote Sports Analytics Specialist
Posted 2 days ago
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Job Description
Our client is looking for a passionate and data-driven Remote Sports Analytics Specialist to join their innovative team. This role focuses on leveraging advanced statistical techniques and data visualization to provide actionable insights into athletic performance, strategy, and fan engagement. You will work closely with coaches, management, and performance staff to identify trends, evaluate player statistics, and develop data-informed recommendations. The ideal candidate possesses a deep understanding of sports combined with strong analytical and programming skills. This is a fully remote position, offering the flexibility to work from your preferred location.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and process large datasets related to player performance, team statistics, and game events across various sports.
- Develop and implement statistical models to analyze performance metrics, identify strengths and weaknesses, and predict outcomes.
- Create compelling data visualizations and reports to communicate findings to coaches, athletes, and stakeholders.
- Collaborate with coaching staff to understand their analytical needs and translate them into research questions.
- Evaluate the effectiveness of training programs and game strategies using quantitative methods.
- Research and recommend new analytical tools and methodologies to enhance performance insights.
- Stay up-to-date with the latest trends in sports analytics and relevant technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Present findings and recommendations in a clear, concise, and persuasive manner.
- Contribute to the development of data-driven decision-making frameworks within the sports organization.
Qualifications:
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related quantitative field.
- Proven experience in sports analytics or a similar data analysis role.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Excellent knowledge of one or more major sports and their associated metrics.
- Ability to interpret complex data and translate it into practical, actionable insights.
- Strong communication and presentation skills, comfortable presenting to non-technical audiences.
- Ability to work independently and manage time effectively in a remote environment.
- Experience with SQL and database management is a plus.
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4
Senior Sports Analytics Specialist
Posted 2 days ago
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Job Description
Our client, a dynamic organization in the sports industry, is seeking a highly analytical Senior Sports Analytics Specialist to provide data-driven insights and strategic recommendations. This is a fully remote position, enabling you to leverage your analytical skills and expertise from any location. You will be responsible for collecting, cleaning, and analyzing large datasets related to player performance, game strategies, and fan engagement. Your insights will directly influence decision-making processes, including player recruitment, training optimization, and game-day strategy development. The ideal candidate possesses a strong background in statistical analysis, data modeling, and proficiency in relevant analytical tools and programming languages (e.g., Python, R, SQL). Excellent communication and visualization skills are essential, as you will be presenting complex data findings to stakeholders in an understandable and actionable manner. Experience in sports analytics, either professionally or through significant personal projects, is highly preferred. You should be adept at identifying key performance indicators (KPIs), developing predictive models, and translating data into meaningful narratives. This is an exciting opportunity to contribute to the success of a sports organization through cutting-edge data analysis, all within a flexible, remote framework. Responsibilities:
- Collecting, cleaning, and processing large datasets from various sports sources.
- Performing in-depth statistical analysis of player performance, team dynamics, and game outcomes.
- Developing predictive models to forecast performance and identify trends.
- Creating compelling data visualizations and reports to communicate insights.
- Providing strategic recommendations to coaching staff, management, and scouting departments.
- Collaborating with stakeholders to define key metrics and analytical objectives.
- Staying up-to-date with the latest advancements in sports analytics and data science.
- Utilizing various analytical software and programming languages (e.g., Python, R, SQL).
- Maintaining data integrity and ensuring the accuracy of analytical outputs.
- Contributing to a data-driven culture within the organization.
- Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis and sports analytics.
- Proficiency in programming languages such as Python or R for data analysis.
- Strong knowledge of statistical modeling, machine learning techniques, and data mining.
- Experience with database management and SQL.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
- Strong understanding of sports principles and performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage multiple projects in a remote environment.
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5
Lead Sports Analytics Specialist
Posted 2 days ago
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Job Description
Our client is looking for a visionary Lead Sports Analytics Specialist to spearhead the development and implementation of cutting-edge analytical strategies for our diverse range of sports and leisure initiatives. This is a fully remote role, offering the flexibility to work from anywhere while making a significant impact on sports performance and fan engagement. You will leverage data to provide actionable insights that drive strategic decisions across various sporting disciplines.
Responsibilities:
This role requires a blend of technical expertise, strategic thinking, and strong communication skills. The ideal candidate will have a deep understanding of sports, coupled with a passion for data-driven insights. As a remote team member, you will be expected to be proactive, self-disciplined, and an effective communicator across digital platforms. You will have the opportunity to shape the future of sports analytics at our client's organization and contribute to the success of our athletes and operations.
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze player performance, team strategies, and competition outcomes.
- Design and manage data collection frameworks from various sources, ensuring data integrity and accuracy.
- Translate complex data findings into clear, concise, and compelling visualizations and reports for coaches, management, and stakeholders.
- Identify key performance indicators (KPIs) and develop dashboards to track progress towards strategic goals.
- Collaborate closely with sports teams, coaches, and operational staff to understand their needs and provide data-driven recommendations.
- Stay at the forefront of emerging trends and technologies in sports analytics, data science, and artificial intelligence.
- Mentor and guide a team of junior analysts, fostering a culture of continuous learning and innovation.
- Manage multiple analytical projects simultaneously, ensuring timely delivery and high-quality results.
- Contribute to the strategic planning and long-term vision for sports analytics within the organization.
- Present findings and recommendations to senior leadership, influencing decision-making processes.
This role requires a blend of technical expertise, strategic thinking, and strong communication skills. The ideal candidate will have a deep understanding of sports, coupled with a passion for data-driven insights. As a remote team member, you will be expected to be proactive, self-disciplined, and an effective communicator across digital platforms. You will have the opportunity to shape the future of sports analytics at our client's organization and contribute to the success of our athletes and operations.
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