2,367 Remote Data Analyst Mining Operations jobs in Kenya
Remote Data Analyst - Mining Operations
Posted 13 days ago
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Remote Data Analyst - Mining Operations Trainee
Posted 18 days ago
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Remote Geo-data Analyst - Mining Operations
Posted 22 days ago
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Responsibilities:
- Collect, process, and analyze geological, geophysical, and geochemical data from various sources.
- Develop and utilize geological models and databases to visualize and interpret subsurface structures.
- Perform statistical analysis on exploration data to assess resource potential and identify high-priority targets.
- Generate comprehensive reports, maps, and visualizations to communicate findings to exploration teams and management.
- Collaborate with field geologists to optimize data collection strategies and ensure data quality.
- Stay abreast of the latest technologies and methodologies in geo-data analysis and mining exploration.
- Develop and implement data quality assurance and quality control (QA/QC) protocols.
- Assist in the estimation of mineral resources and reserves using industry-standard software.
- Provide technical support and guidance to exploration teams on data interpretation.
- Contribute to the strategic planning of exploration programs based on data analysis.
- Maintain accurate and organized digital records of all analyzed data and findings.
- Ensure compliance with industry standards and best practices in data management and analysis.
- Bachelor's or Master's degree in Geology, Geophysics, Geoscience, or a related field with a strong focus on data analysis.
- Minimum of 3-5 years of experience in geological data analysis, with specific experience in the mining sector.
- Proficiency in geological software such as ArcGIS, Leapfrog, Vulcan, Surpac, or similar.
- Strong understanding of geostatistics and statistical analysis techniques relevant to resource estimation.
- Experience in processing and interpreting various types of geophysical and geochemical data.
- Excellent data visualization skills, with the ability to create clear and informative maps and cross-sections.
- Proficiency in programming languages such as Python or R for data analysis is highly desirable.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent written and verbal communication skills, with the ability to explain complex technical information clearly.
- Ability to work independently and collaboratively in a fully remote team environment.
- Familiarity with mining exploration techniques and principles.
- Experience with large datasets and database management.
- Commitment to data integrity and accuracy.
Geological Data Analyst - Remote Mining Operations
Posted 7 days ago
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Remote Junior Data Analyst - Business Intelligence
Posted 8 days ago
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Key responsibilities will include:
- Assisting in the collection and organization of data from various sources.
- Performing data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conducting basic data analysis to identify trends, patterns, and insights.
- Creating reports and visualizations (charts, graphs) to communicate findings effectively.
- Supporting the development and maintenance of dashboards and business intelligence tools.
- Collaborating with senior analysts on ad-hoc data requests and projects.
- Learning and applying data analysis techniques and tools.
- Documenting data sources, methodologies, and findings.
- Participating in team meetings and contributing to discussions on data-driven solutions.
- Adhering to data privacy and security protocols.
The ideal candidate will possess a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. While prior professional experience is not required, demonstrable experience with data analysis through academic projects or personal coursework is highly valued. Proficiency in at least one data analysis tool or programming language (e.g., Excel, SQL, Python, R) is a strong advantage. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent analytical and problem-solving skills, along with a keen eye for detail, are essential. Strong written and verbal communication skills are needed to explain technical concepts to non-technical audiences. The ability to work independently, manage time effectively, and learn quickly in a remote setting is crucial. This internship offers a fantastic opportunity to gain practical experience in data analytics within a supportive and dynamic team environment. We are committed to fostering the growth and development of our interns. The impact of your work will support business operations originating from **Nairobi, Nairobi, KE**, though the position is fully remote.
Junior Data Analyst, Business Intelligence
Posted 21 days ago
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Key learning opportunities and responsibilities:
- Assisting in the collection and aggregation of data from various sources.
- Performing data cleaning and validation to ensure accuracy and integrity.
- Supporting the creation of reports and dashboards using BI tools.
- Conducting preliminary data analysis to identify trends and patterns.
- Collaborating with team members on data-related projects.
- Learning and applying statistical analysis techniques.
- Documenting data sources, methodologies, and findings.
- Assisting in the development of data visualizations.
- Gaining exposure to SQL, Python, and data visualization software.
- Participating in team meetings and contributing ideas.
Graduate Data Analyst - Business Intelligence
Posted 21 days ago
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Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis to identify trends, patterns, and insights.
- Develop and maintain reports and dashboards using BI tools (e.g., Tableau, Power BI).
- Support senior analysts in extracting and interpreting data for business decision-making.
- Identify and report data quality issues and assist in implementing solutions.
- Communicate findings and insights to team members and stakeholders in a clear and concise manner.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Learn and apply various data analysis techniques and tools.
- Contribute to documentation of data processes and methodologies.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in Microsoft Excel is required.
- Familiarity with SQL for data querying is highly desirable.
- Exposure to BI tools such as Tableau, Power BI, or similar is a plus.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
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Apprentice Data Analyst - Business Intelligence
Posted 22 days ago
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Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
- Perform basic data analysis to identify trends, patterns, and insights under the guidance of senior analysts.
- Help in creating data visualizations to communicate findings effectively to stakeholders.
- Learn and apply statistical methods and data modeling techniques.
- Document data sources, methodologies, and analysis steps.
- Collaborate with team members on data-related projects in a remote setting.
- Participate in training sessions and workshops to enhance analytical skills.
- Assist in testing and validating data integrity and report accuracy.
- Shadow senior data analysts and learn best practices in data analysis and interpretation.
- Contribute to ad-hoc data requests as needed.
- Develop a foundational understanding of business processes and how data supports decision-making.
- Engage in self-directed learning to expand knowledge in data analytics and related technologies.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong interest in data analysis, business intelligence, and data visualization.
- Basic understanding of statistical concepts and principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) is required.
- Exposure to programming languages such as Python or R is a plus.
- Eagerness to learn and adapt to new technologies and tools.
- Good analytical and problem-solving aptitude.
- Effective communication skills, both written and verbal, for remote collaboration.
- Ability to work independently, manage time effectively, and adhere to deadlines in a remote environment.
- A proactive attitude and a desire to contribute to team goals.
- This is a fully remote apprenticeship program, conceptually based in Nakuru, Nakuru, KE .
Junior Data Analyst - Business Intelligence Focus
Posted 22 days ago
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The intern will be involved in the entire data lifecycle, from data extraction and transformation using SQL and other tools, to data visualization and presentation using tools like Tableau, Power BI, or similar platforms. You will assist in identifying trends, patterns, and anomalies within datasets, helping to uncover actionable insights that inform business strategies. This role demands a sharp analytical mind, a keen eye for detail, and a strong desire to learn and grow within the field of data analytics. You will support the development and maintenance of regular reports and dashboards, ensuring data accuracy and integrity. The ability to communicate findings clearly, both verbally and in writing, is essential, as you will present your analysis to team members and potentially other stakeholders.
This is a fully remote internship, requiring self-discipline, proactive communication, and the ability to manage your workload effectively in a virtual environment. You will have the opportunity to work with real-world datasets and contribute to meaningful projects, gaining valuable hands-on experience. This role is ideal for someone with a foundational understanding of statistical concepts and a passion for using data to solve problems. Familiarity with programming languages such as Python or R for data manipulation and analysis would be an added advantage. We are looking for a curious and diligent individual eager to learn from experienced professionals and make a tangible contribution.
Key Responsibilities:
- Assist in gathering, cleaning, and transforming data from various sources using SQL and other data manipulation tools.
- Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau or Power BI.
- Analyze datasets to identify trends, patterns, and anomalies, and document findings.
- Collaborate with senior analysts to interpret data and provide insights to business stakeholders.
- Assist in ensuring data accuracy, consistency, and integrity across all reporting.
- Prepare clear and concise summaries of data analysis findings for team review.
- Contribute to ad-hoc data requests and analytical projects as assigned.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to discussions on data-related topics.
- Develop basic SQL queries for data extraction and manipulation.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field.
- Foundational knowledge of data analysis principles and statistical concepts.
- Familiarity with SQL for data querying and manipulation.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI, Excel charts).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and eagerness to learn.
- Familiarity with Python or R for data analysis is a plus.
Junior Data Analyst - Remote Business Intelligence
Posted 6 days ago
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Responsibilities:
- Assist in collecting and organizing data from different internal and external sources.
- Perform data cleaning and preprocessing to ensure data accuracy and integrity.
- Conduct exploratory data analysis to identify patterns, trends, and anomalies.
- Support senior analysts in generating reports and dashboards using data visualization tools.
- Help in developing and implementing data quality checks.
- Assist in creating presentations to communicate findings and insights to non-technical stakeholders.
- Learn and apply statistical methods and analytical techniques.
- Contribute to documentation of data processes and methodologies.
- Collaborate with team members on various data-related projects.
- Gain exposure to business intelligence tools and databases.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related quantitative field.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software like Microsoft Excel or Google Sheets.
- Exposure to SQL for data retrieval is a plus.
- An interest in learning data visualization tools (e.g., Tableau, Power BI) is highly desirable.
- Strong analytical and problem-solving abilities.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and a proactive attitude.