452 Data Analysis jobs in Kenya
Graduate Trainee - Data Analysis
Posted today
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Program Structure & Responsibilities:
- Undergo structured training in data analysis methodologies, statistical concepts, and relevant software.
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of analytical models.
- Create clear and concise data visualizations and reports for stakeholders.
- Learn and utilize data analysis tools and programming languages (e.g., SQL, Python, R, Excel).
- Collaborate with team members on data-related projects.
- Participate in regular feedback sessions and performance evaluations.
- Contribute to team meetings and discussions, sharing insights and learning from peers.
- Assist in documenting data analysis processes and findings.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a closely related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages like Python or R is a plus.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote environment.
- A proactive attitude and a keen interest in data-driven decision-making.
This is a fantastic entry-level opportunity for aspiring data analysts looking to launch their careers remotely, with the position based in Garissa, Garissa, KE , but fully conducted online.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform data analysis using statistical methods and tools.
- Develop reports and visualizations to communicate data insights.
- Support data scientists in building and validating models.
- Identify trends, patterns, and anomalies in datasets.
- Collaborate with team members on data-related projects.
- Learn and apply various data analysis software and techniques.
- Assist in the preparation of data summaries and presentations.
- Contribute to the maintenance of data integrity and accuracy.
- Participate in team meetings and discussions on data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Solid understanding of statistical concepts and analytical methods.
- Proficiency in at least one data analysis tool or programming language (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and develop skills in data analytics.
- Ability to work independently and as part of a remote team.
- Strong organizational skills.
Location: Mlolongo, Machakos, KE
Graduate Trainee - Data Analysis
Posted 2 days ago
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Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development of data models and algorithms.
- Create visualizations and reports to communicate findings to stakeholders.
- Assist in conducting statistical analysis and interpretation.
- Learn and apply data analysis tools and techniques.
- Collaborate with senior analysts and team members on data projects.
- Maintain data integrity and accuracy.
- Contribute to the continuous improvement of data analysis processes.
- Stay updated on emerging trends in data analytics.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Proficiency in Microsoft Excel.
- Familiarity with statistical concepts and methods.
- Enthusiasm for data and a strong desire to learn.
- Good communication and interpersonal skills.
- Ability to work independently and collaboratively in a remote environment.
- Basic knowledge of programming languages (e.g., Python, R) or SQL is a plus.
Graduate Trainee - Data Analysis - Remote
Posted today
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Program Highlights:
- Intensive training in data analysis tools and techniques (e.g., SQL, Python, R, Excel).
- Exposure to real-world data challenges and projects across various business functions.
- Mentorship from experienced data professionals.
- Development of skills in data cleaning, transformation, visualization, and interpretation.
- Opportunities to contribute to data-driven insights and recommendations.
- Hands-on experience with business intelligence tools and reporting dashboards.
- Understanding of data governance and best practices.
- A collaborative and supportive remote learning environment.
This is a fully remote traineeship, allowing you to participate from any location. Our client is committed to fostering a nurturing and challenging virtual learning experience. The successful candidate will demonstrate a keen intellect, a strong desire to learn, and the ability to adapt to new technologies and methodologies in a remote setup. If you are a recent graduate eager to launch a career in data analysis and gain practical experience in a dynamic remote setting, we encourage you to apply. This opportunity is exclusively remote, enabling work from home.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language (e.g., Python, R) is highly desirable.
- Familiarity with SQL and database concepts is a plus.
- Excellent communication and presentation skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and a proactive attitude.
- Genuine interest in data analysis and its business applications.
Lead Geoscientist - Exploration Data Analysis
Posted 1 day ago
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Graduate Trainee Program - Data Analysis
Posted 1 day ago
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Program Duration: 12 Months
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and pre-processing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and visualizations to communicate findings effectively.
- Support senior analysts in building statistical models and predictive analytics.
- Learn and apply various data analysis tools and techniques.
- Collaborate with team members on data-related projects.
- Contribute to the continuous improvement of data processes and methodologies.
- Participate in training sessions and knowledge-sharing activities.
- Adhere to data privacy and security policies.
Qualifications:
- Recent graduate with a Bachelor's or Master'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.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages like Python or R is a plus.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Excellent communication and interpersonal skills.
- Eagerness to learn and adapt in a remote work setting.
- Ability to work independently and manage time effectively.
- A keen interest in data analysis and its application in business.
This exceptional program offers a fantastic entry point into the field of data analysis, allowing you to learn and grow remotely while contributing to our client's data initiatives in the **Ongata Rongai, Kajiado, KE** vicinity.
Remote Graduate Trainee - Data Analysis
Posted 1 day ago
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Remote Geological Engineer - Data Analysis
Posted 2 days ago
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Responsibilities:
- Analyze large geological datasets, including geophysical, geochemical, and drilling data, to identify trends and anomalies.
- Develop and implement geological models and simulations using specialized software.
- Interpret seismic, well log, and core sample data to assess subsurface geology and mineral potential.
- Utilize statistical and machine learning techniques for data interpretation and prediction.
- Collaborate with field geologists and engineers to integrate field observations with analytical results.
- Prepare detailed technical reports, presentations, and visualizations for exploration teams and management.
- Contribute to the design and planning of exploration programs based on data analysis.
- Ensure the accuracy and integrity of geological databases and data management systems.
- Stay current with advancements in geological software, analytical techniques, and exploration technologies.
- Maintain effective communication with remote team members and stakeholders across different time zones.
- Assess geological risks and provide recommendations for mitigation strategies.
- Adhere to all safety and environmental protocols relevant to the mining industry.
- Bachelor's or Master's degree in Geological Engineering, Mining Engineering, Geophysics, or a related field.
- Proven experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software such as ArcGIS, Leapfrog, Petrel, or similar.
- Strong skills in statistical analysis, data mining, and potentially machine learning.
- Experience with programming languages commonly used in data science (e.g., Python, R) is highly desirable.
- Excellent understanding of geological principles and exploration methodologies.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills for report writing and presentations.
- Ability to work independently and manage projects effectively in a remote setting.
- Familiarity with cloud-based data platforms and collaboration tools.
Principal Geologist - Remote Data Analysis
Posted 2 days ago
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Senior Geologist - Remote Sensing & Data Analysis
Posted 1 day ago
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Responsibilities:
- Utilize advanced remote sensing techniques and software (e.g., ENVI, ERDAS Imagine, ArcGIS Pro) to process and analyze multispectral, hyperspectral, and radar imagery.
- Identify and map geological formations, structural features (faults, folds), and alteration zones indicative of mineralization.
- Integrate remote sensing data with other geological datasets, including geophysical surveys, geochemical data, and well logs.
- Develop and apply machine learning and AI algorithms for automated feature extraction and predictive geological modeling.
- Generate detailed geological maps, cross-sections, and reports based on integrated data analysis.
- Collaborate with field geologists to plan and optimize ground-truth data collection based on remote sensing interpretations.
- Conduct feasibility studies and risk assessments for exploration projects based on derived geological models.
- Present findings and recommendations to project stakeholders, including management and technical teams.
- Contribute to the development and refinement of in-house geological modeling workflows and best practices.
- Stay current with the latest advancements in remote sensing technology, geological interpretation, and data science relevant to mining and exploration.
Qualifications:
- Master's degree or PhD in Geology, Earth Science, or a related field.
- Minimum of 8 years of progressive experience in geological exploration, with a strong focus on remote sensing and geospatial analysis.
- Proven expertise in processing and interpreting various types of remote sensing data for geological applications.
- Proficiency in GIS software (ArcGIS, QGIS) and remote sensing platforms.
- Experience with programming languages such as Python or R for data analysis and scripting.
- Strong understanding of geological principles, structural geology, and mineral deposit models.
- Experience with geological modeling software is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex technical information clearly.
- Demonstrated ability to work independently and collaboratively in a remote team environment.
- Access to a reliable internet connection and a suitable home office setup.
This remote position offers a unique opportunity to contribute to significant exploration projects globally, utilizing cutting-edge technology and geological expertise. The ideal candidate is a data-driven geologist passionate about uncovering Earth's resources through innovative analytical methods.