3,398 Employee Data jobs in Kenya
Remote Geologist - Data Analysis
Posted today
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Responsibilities:
- Process, interpret, and model large geological and geophysical datasets.
- Develop 3D geological models and resource estimations.
- Analyze geochemical and mineralogical data to identify exploration targets.
- Utilize geological software (e.g., Leapfrog, ArcGIS) for data visualization and analysis.
- Write technical reports detailing geological findings, interpretations, and recommendations.
- Collaborate with remote teams of geologists, geophysicists, and engineers.
- Evaluate the economic viability of potential mineral resources.
- Stay updated on the latest advancements in geological data analysis and exploration techniques.
- Ensure data integrity and quality control throughout all analytical processes.
- Present findings and recommendations to stakeholders in virtual meetings.
- Master's degree or Ph.D. in Geology, Geophysics, or a related earth science discipline with a focus on data analysis.
- Minimum of 5 years of experience in geological data interpretation and resource modeling, preferably in an exploration or mining context.
- Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ArcGIS).
- Strong programming skills in Python or R for data analysis and scripting.
- Solid understanding of statistical analysis and quantitative methods.
- Excellent written and verbal communication skills for remote collaboration and reporting.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with various types of geological data (e.g., drill logs, assay data, geophysical surveys).
- Strong problem-solving skills and attention to detail.
- Knowledge of mineral deposit types and exploration strategies.
Geologist - Remote Data Analysis
Posted 1 day ago
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Job Description
Responsibilities:
- Analyze and interpret geological, geophysical, and geochemical data.
- Develop and utilize 3D geological models.
- Identify potential mineral resource deposits.
- Process and interpret well logs and seismic data.
- Contribute to resource estimation and feasibility studies.
- Collaborate with exploration and technical teams.
- Prepare detailed geological reports and presentations.
- Stay current with geological software and analysis techniques.
- Ensure data integrity and accuracy in all analyses.
- Support exploration and development strategies.
Qualifications:
- Proven experience as a Geologist, with a focus on data analysis and interpretation.
- Strong knowledge of geological principles, exploration techniques, and resource estimation.
- Proficiency in geological modeling software (e.g., Leapfrog, Micromine, ArcGIS).
- Experience with geophysical and geochemical data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and reporting abilities.
- Ability to work independently and manage projects effectively in a remote setting.
- Master's degree in Geology, Geophysics, or a related field is preferred.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Key responsibilities will include:
- Assisting in the collection and organization of raw data from various sources.
- Performing data cleaning and preprocessing to ensure data quality and integrity.
- Conducting exploratory data analysis to identify trends and patterns.
- Generating reports and visualizations to communicate findings to stakeholders.
- Supporting senior analysts in developing data models and performing statistical analysis.
- Learning and applying various data analysis tools and techniques.
- Collaborating with cross-functional teams to understand data needs.
- Documenting data analysis processes and methodologies.
- Participating in team meetings and contributing to project discussions.
- Continuously learning and staying updated with emerging data analysis trends.
The ideal candidate will have recently graduated with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A strong analytical mindset and a keen eye for detail are essential. Proficiency in Excel is required, and familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a significant advantage. Excellent communication skills and the ability to work effectively in a remote team environment are crucial. This internship is fully remote, allowing you to gain valuable industry experience from anywhere. Join our client and embark on a rewarding journey in data analysis, based remotely with a focus on supporting operations relevant to Kericho, Kericho, KE .
Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Geologist - Remote Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
- Assisting senior data analysts in collecting, cleaning, and organizing large datasets.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting the development and execution of data models and algorithms.
- Creating data visualizations and dashboards to communicate findings.
- Contributing to the generation of reports and presentations on data insights.
- Collaborating with team members on data-related projects and initiatives.
- Learning and applying statistical analysis techniques.
- Assisting in the documentation of data processes and methodologies.
- Participating in training sessions and seeking opportunities for continuous learning.
- Supporting ad-hoc data requests from various departments.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical principles.
- Basic knowledge of programming languages like Python or R is an advantage.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail and accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a proactive approach to acquiring new skills.
- Team player with good interpersonal skills.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Program Highlights:
- Receive comprehensive training in data analysis methodologies and tools (e.g., Python, R, SQL, Excel).
- Work on challenging data-related projects that have a direct impact on business decisions.
- Learn to extract, transform, and load data from various sources.
- Assist in cleaning and pre-processing datasets to ensure data quality and integrity.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development of reports, dashboards, and visualizations to communicate findings.
- Collaborate with experienced data professionals in a remote team environment.
- Gain exposure to statistical modeling, machine learning concepts, and business intelligence tools.
- Develop essential professional skills, including problem-solving, critical thinking, and effective communication.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong academic record with a demonstrated aptitude for analytical thinking and problem-solving.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Proficiency in Microsoft Excel.
- Excellent communication and interpersonal skills, with the ability to work effectively in a remote team.
- Self-motivated, detail-oriented, and eager to learn new technologies and methodologies.
- Ability to manage time effectively and meet project deadlines.
- Previous internship or project experience in data analysis is advantageous but not required.