Remote Geologist - Data Analysis
Posted today
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The ideal candidate will possess a deep understanding of geological principles, structural geology, stratigraphy, and economic geology. You will utilize advanced geological software, statistical analysis tools, and programming languages (such as Python or R) to perform complex data manipulations, spatial analysis, and predictive modeling. Responsibilities include generating detailed geological reports, maps, cross-sections, and 3D models that effectively communicate findings to both technical and non-technical stakeholders. Collaboration with in-house geologists, geophysicists, and engineers will be essential, requiring strong virtual communication and teamwork skills.
This role demands exceptional critical thinking, a meticulous approach to data integrity, and the ability to work independently and manage project timelines effectively in a remote setting. A commitment to staying current with the latest advancements in geological software, data analysis techniques, and mineral exploration methodologies is crucial. You will play a pivotal role in shaping our client's understanding of subsurface geology and identifying promising targets for future development, all while working from your preferred location. This opportunity is ideal for a data-driven geologist looking to apply their skills in a flexible, remote work environment.
Key Responsibilities:
- Analyze and interpret geological data from various sources.
- Develop and maintain geological databases.
- Perform spatial analysis and create geological maps and models.
- Conduct statistical analysis and predictive modeling for resource assessment.
- Generate comprehensive geological reports and presentations.
- Collaborate virtually with cross-functional technical teams.
- Stay updated on geological software and data analysis techniques.
- Identify and evaluate potential mineral exploration targets.
- MSc or PhD in Geology or a related earth science field.
- Significant experience in geological data analysis and interpretation.
- Proficiency in geological modeling software (e.g., Leapfrog, Petrel) and GIS.
- Strong programming skills (Python, R) for data analysis.
- Excellent understanding of geological principles and exploration techniques.
- Proven ability to work independently and manage remote projects.
- Strong written and verbal communication skills for technical reporting.
Graduate Trainee - Data Analysis
Posted 4 days ago
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Responsibilities:
- Assist in collecting, organizing, and managing data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and accuracy.
- Conduct basic data analysis to identify trends, patterns, and insights.
- Support senior analysts in developing reports and dashboards.
- Learn and utilize data analysis tools such as Excel, SQL, and Python libraries (e.g., Pandas).
- Contribute to data visualization efforts to communicate findings effectively.
- Participate in team meetings and discussions related to data projects.
- Assist in documenting data processes and methodologies.
- Develop an understanding of business objectives and how data can support them.
- Gain exposure to various analytical techniques and their applications.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with data analysis concepts.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Basic understanding of programming languages like Python or R is a plus.
- A genuine interest in data and its potential to drive business value.
Principal Geologist - Data Analysis
Posted 4 days ago
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Key responsibilities include:
- Leading the analysis and interpretation of large geological datasets to identify and characterize mineral deposits.
- Developing and refining 3D geological models using advanced software.
- Applying statistical and machine learning techniques to geological data for predictive modeling.
- Providing expert geological advice to exploration teams and senior management.
- Designing and overseeing geological data acquisition programs.
- Mentoring and guiding junior geologists and data scientists.
- Collaborating with geophysicists, geochemists, and engineers to integrate diverse datasets.
- Evaluating the economic potential of exploration targets based on integrated geological models.
- Preparing high-quality technical reports, presentations, and recommendations for stakeholders.
- Staying abreast of cutting-edge technologies and methodologies in geological data analysis and mineral exploration.
Remote Geologist - Data Analysis
Posted 5 days ago
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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.
Graduate Trainee - Data Analysis
Posted 7 days ago
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Geologist - Remote Data Analysis
Posted 7 days ago
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Responsibilities:
- Analyze geological data sets from diverse sources, including but not limited to seismic, well logs, core samples (digitally represented), and remote sensing imagery.
- Utilize specialized geological software (e.g., ArcGIS, Leapfrog, Petrel) for data visualization, modeling, and interpretation.
- Develop and refine geological models based on the analysis of collected data.
- Identify potential areas of interest for mineral or resource exploration based on data interpretation.
- Prepare detailed geological reports, presentations, and maps for internal teams and external stakeholders.
- Collaborate closely with geophysicists, mining engineers, and other specialists via online platforms.
- Ensure data integrity, quality control, and adherence to geological standards.
- Stay current with advancements in geological software, remote sensing technologies, and data analysis techniques.
- Provide expert opinions and recommendations based on geological interpretations.
- Manage multiple projects concurrently, ensuring timely delivery of analysis and reports.
- Maintain accurate digital records of all analyses, models, and findings.
- Participate in remote team meetings and contribute to project planning and strategy discussions.
- Master's or Ph.D. in Geology, Earth Sciences, or a closely related field.
- Significant experience (5+ years) in geological data analysis, particularly with remote sensing and geophysical data.
- Proficiency in industry-standard geological modeling and GIS software.
- Strong understanding of geological principles relevant to mineral exploration or resource management.
- Excellent analytical and critical thinking skills.
- Proven ability to interpret complex datasets and produce clear, concise reports.
- Experience with programming languages (e.g., Python, R) for data analysis is a strong asset.
- Exceptional written and verbal communication skills for effective remote collaboration.
- Self-motivated with the ability to work independently and manage workload effectively.
- A stable internet connection and a suitable remote workspace are required.
Remote Graduate Trainee - Data Analysis
Posted 7 days ago
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Program Overview:
- Undergo intensive training in data analysis tools and techniques, including SQL, Python/R, Excel, and data visualization software (e.g., Tableau, Power BI).
- Learn to collect, clean, transform, and interpret complex datasets.
- Assist in developing reports and dashboards to present key business insights.
- Support senior analysts in various data-driven projects, gaining exposure to different business functions.
- Participate in team meetings, contributing ideas and learning from experienced professionals.
- Understand data governance principles and best practices for data management.
- Develop critical thinking and problem-solving skills through practical application.
- Receive mentorship from experienced data professionals throughout the program.
- Gain exposure to the full data lifecycle, from data sourcing to insight generation.
- Build a professional network within the organization.
Eligibility Criteria:
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving aptitude.
- Excellent communication and interpersonal skills.
- A keen interest in data and technology.
- Proficiency in Microsoft Excel is required.
- Basic understanding of programming concepts or statistical principles is a plus.
- Ability to work independently, manage time effectively, and meet deadlines in a remote environment.
- Proactive attitude and eagerness to learn and contribute.
- Must have a reliable internet connection and a suitable home office setup.
This is an exceptional opportunity for motivated graduates to launch their careers in data analytics within a supportive, fully remote learning environment.
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Remote Graduate Trainee - Data Analysis
Posted 7 days ago
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Junior Graduate Trainee - Data Analysis
Posted 7 days ago
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Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform exploratory data analysis to identify patterns and anomalies.
- Develop and implement basic statistical models and algorithms.
- Create clear and concise data visualizations and reports for stakeholders.
- Collaborate with senior analysts to support ongoing projects and initiatives.
- Learn and apply new data analysis tools and techniques.
- Contribute to the improvement of data collection and reporting processes.
- Ensure data integrity and accuracy throughout the analysis lifecycle.
- Participate in team meetings and provide updates on assigned tasks.
- Maintain documentation of analysis methods and findings.
Qualifications:
- A Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages such as Python or R is a plus.
- Proficiency in Microsoft Excel or Google Sheets.
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- A proactive attitude and a willingness to learn.
- Must have reliable internet access and a suitable remote work environment.
This role is based remotely, but the insights gained will support initiatives relevant to clients across Kitale, Trans-Nzoia, KE and beyond. We encourage applications from ambitious graduates looking for an impactful start to their professional journey.
Junior Graduate Trainee - Data Analysis
Posted 7 days ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and transformation.
- Support the development of data models and analytical reports.
- Learn and apply various data analysis techniques.
- Contribute to data visualization projects.
- Collaborate with team members on assigned tasks.
- Participate in training sessions and workshops.
- Document methodologies and findings.