64 Power Bi jobs in Kenya
Geologist - Remote Data Analysis & Reporting
Posted 2 days ago
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Senior Mining Geologist - Remote Data Analysis & Reporting
Posted 1 day ago
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Geologist - Remote Data Analysis and Reporting
Posted today
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- Analyzing geological survey data, including core samples, geophysical logs, and geochemical assays.
- Interpreting geological structures, stratigraphy, and mineralization patterns.
- Creating detailed geological maps, cross-sections, and 3D models using specialized software.
- Preparing comprehensive geological reports for internal stakeholders and regulatory bodies.
- Providing recommendations for future exploration targets and resource estimation.
- Collaborating with remote exploration teams and providing technical guidance.
- Ensuring data integrity and accuracy throughout the analysis and reporting process.
- Staying current with advancements in geological software and methodologies.
- Assisting in the development and implementation of exploration strategies.
- Contributing to the overall geological understanding of project areas.
Qualifications:
- A Bachelor's or Master's degree in Geology, Earth Sciences, or a related field.
- Minimum of 5 years of professional experience in geological exploration or resource evaluation.
- Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ArcGIS).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to interpret complex geological data and communicate findings clearly.
- Exceptional written communication skills for report writing.
- Ability to work autonomously and manage projects effectively in a remote environment.
- Familiarity with relevant mining and environmental regulations.
- Experience with geophysical and geochemical data analysis is a plus.
This is a unique remote opportunity supporting geological projects in the region of Embu, Embu, KE . If you are a seasoned Geologist passionate about uncovering the earth's resources and thrive in a flexible, remote work setup, we invite you to apply.
Junior Data Analyst - Insights & Reporting
Posted 2 days ago
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Responsibilities:
- Assist in collecting and cleaning data from various sources, ensuring data accuracy and integrity.
- Perform basic data analysis to identify trends, patterns, and anomalies.
- Support the creation of reports and dashboards using data visualization tools.
- Help in preparing data sets for statistical analysis and modeling.
- Collaborate with team members on data-related projects and tasks.
- Learn and apply new data analysis techniques and tools.
- Document data sources, methodologies, and findings clearly and concisely.
- Assist in conducting user acceptance testing for new reports and data products.
- Respond to ad-hoc data requests from various departments.
- Contribute to a positive and collaborative team environment.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of data analysis principles and statistical concepts.
- Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, or R is a plus.
- Strong attention to detail and accuracy.
- Good analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and developing new skills in data analytics.
- A proactive and curious mindset.
- Must be currently enrolled in or recently graduated from a degree program.
This fully remote internship is designed to provide comprehensive training and real-world experience, setting you on a strong path in the field of data analytics. Join a forward-thinking company and make a meaningful contribution.
Graduate Trainee - Data Analysis & Business Intelligence
Posted 7 days ago
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Key responsibilities will include:
- Assisting in the extraction, cleaning, and preparation of data from various sources.
- Performing data analysis using statistical methods and tools.
- Creating dashboards and reports to visualize data insights and trends.
- Supporting the development of business intelligence solutions.
- Identifying data patterns and anomalies to inform business strategies.
- Collaborating with team members to understand data requirements and deliver relevant analysis.
- Learning and applying data analysis tools such as SQL, Python (Pandas, NumPy), and BI platforms (e.g., Tableau, Power BI).
- Contributing to data quality improvement initiatives.
The ideal candidate will have a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong foundation in statistical concepts and data analysis is required. Proficiency in Microsoft Excel is essential, and experience with SQL or programming languages like Python is highly desirable. Excellent problem-solving skills, attention to detail, and a strong desire to learn are crucial. Good communication and interpersonal skills are important for effective remote collaboration. This is an exceptional opportunity for ambitious graduates to launch their careers in the rapidly growing field of data analytics.
Graduate Trainee - Data Analysis
Posted today
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Throughout this traineeship, you will be guided by experienced data professionals. Your responsibilities will include data collection, cleaning, processing, and preparation for analysis. You will learn to identify trends, patterns, and correlations within large datasets using various statistical methods and tools. Developing data visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences will be a key part of your role. You will gain proficiency in data analysis software and programming languages such as SQL, Python (with libraries like Pandas and NumPy), and R. Experience with business intelligence tools like Tableau or Power BI will also be developed. This is a fully remote position, requiring candidates to be self-motivated, organized, and adept at virtual communication and collaboration. Our client is committed to fostering a supportive learning environment, providing the necessary resources and mentorship for your professional development. This opportunity is based remotely, with excellent learning potential for individuals located in or near Garissa, Garissa, KE , who are eager to enter the data analytics domain. Successful candidates will gain invaluable experience and a strong foundation for a career in data science.
Qualifications:
- A recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in data manipulation and analysis tools. Experience with SQL is highly preferred.
- Basic programming skills in Python or R are a significant advantage.
- Familiarity with data visualization techniques and tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in data and a proactive approach to learning.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Program Highlights:
- Intensive training in data analysis tools and techniques, including SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Hands-on experience working with large datasets to extract actionable insights.
- Mentorship from senior data analysts and a supportive learning environment.
- Exposure to various business functions and understanding how data drives decision-making.
- Opportunities to contribute to ongoing projects and present findings to stakeholders.
- Development of crucial soft skills, including problem-solving, communication, and teamwork in a remote setting.
- A structured learning path designed for rapid professional growth.
- Potential for a full-time position upon successful completion of the trainee program.
We are seeking highly motivated individuals with a strong academic background in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A passion for data, strong analytical aptitude, and excellent communication skills are essential. While this role is fully remote, candidates should ideally be located within reasonable proximity to Ongata Rongai, Kajiado, KE , for occasional team gatherings or future potential hybrid arrangements as the company evolves. This is your chance to build a solid foundation in data analysis and embark on a rewarding career.
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Remote Geologist - Data Analysis
Posted 1 day ago
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Responsibilities:
- Analyze geological and geophysical data from various sources, including core samples, well logs, seismic surveys, and remote sensing imagery.
- Develop and refine 3D geological models to delineate mineralized zones and estimate resource quantities.
- Perform statistical analysis and geostatistical modeling to assess resource uncertainty and confidence levels.
- Prepare comprehensive geological reports, maps, and presentations for internal stakeholders and regulatory bodies.
- Collaborate with senior geologists and engineers to define exploration targets and develop drilling programs.
- Identify and implement best practices in data management, quality control, and geological interpretation.
- Utilize specialized software such as Leapfrog, ArcGIS, Vulcan, or similar geological modeling and GIS platforms.
- Interpret exploration results and provide recommendations for further exploration or development activities.
- Stay updated on the latest advancements in geological techniques, software, and mining technologies.
- Ensure compliance with environmental and safety standards in all data analysis and reporting activities.
Qualifications:
- Master's degree or Ph.D. in Geology, Geophysics, or a related geoscience field.
- Minimum of 5 years of experience in mineral exploration or mining geology, with a strong focus on data analysis and modeling.
- Demonstrated proficiency in geological modeling software (e.g., Leapfrog, Vulcan, Datamine) and GIS software (e.g., ArcGIS).
- Expertise in statistical analysis, geostatistics (e.g., kriging), and resource estimation techniques.
- Strong understanding of various geological deposit types relevant to the region's mineralogy.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and collaboratively in a remote team setting.
- Proficiency in data analysis tools and programming languages (e.g., Python, R) is highly desirable.
- Experience with remote sensing data interpretation is a plus.
- Must have a robust internet connection and a home office setup.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Key Responsibilities:
- Assist in the collection and organisation of data from various sources.
- Perform data cleaning and preparation tasks to ensure data accuracy and integrity.
- Conduct basic data analysis using statistical methods and relevant software.
- Create visualisations and reports to present data insights.
- Learn and apply different data analysis techniques and tools.
- Support senior analysts in ongoing projects and ad-hoc data requests.
- Participate in team meetings and contribute to discussions.
- Develop an understanding of business requirements and how data can inform decisions.
- Complete assigned training modules and tasks effectively.
- Maintain organised data files and documentation.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis concepts and basic statistical knowledge.
- Basic proficiency in spreadsheet software (e.g., Microsoft Excel).
- An eagerness to learn and develop new skills in data analysis.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- A keen eye for detail.
- Candidates must have completed their undergraduate studies within the last 12 months.
Remote Agronomist - Data Analysis
Posted 5 days ago
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