50 Data Analysis jobs in Manama
Graduate Trainee - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 19 days ago
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- Assisting senior analysts in data collection, extraction, and manipulation from various sources.
- Performing data cleaning and pre-processing to ensure data quality and integrity.
- Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Developing and generating reports and visualizations using tools like Excel, Tableau, or Power BI.
- Supporting the development of dashboards and performance metrics.
- Learning and applying statistical methods and basic modeling techniques.
- Collaborating with different departments to understand their data needs and provide analytical support.
- Participating in training sessions and workshops to enhance technical and soft skills.
- Contributing to ad-hoc data analysis projects as required.
- Shadowing experienced data analysts and learning best practices in data management and analysis.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, etc.).
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is advantageous but not mandatory.
- Excellent communication and teamwork skills.
- A strong desire to learn and develop a career in data analysis.
- Must be legally eligible to work in **Jidhafs, Capital, BH**.
This is a full-time, on-site internship program in **Jidhafs, Capital, BH**, offering a competitive hourly wage and valuable industry experience. Upon successful completion of the program, there may be opportunities for full-time employment.
Remote Geologist - Data Analysis
Posted 22 days ago
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This position demands exceptional skills in geological data interpretation, statistical analysis, and the use of specialized software for modeling and visualization. You will be expected to process and analyze large datasets from various sources, including seismic surveys, well logs, core samples, and geochemical analyses. Developing predictive models, identifying anomalies, and providing clear, concise reports and recommendations will be central to your responsibilities.
The successful candidate will have a profound understanding of geological principles, mineralogy, and stratigraphy. You must be adept at utilizing advanced analytical techniques and software such as ArcGIS, Petrel, Leapfrog, or similar geological modeling and data analysis platforms. This is a remote-first position, requiring self-discipline, excellent time management, and strong communication skills to collaborate effectively with a globally distributed team. You will play a key role in risk assessment and resource estimation, providing crucial insights that guide investment decisions. The ability to present complex technical information in an accessible manner to both geoscientific and management teams is vital.
Location: This is a remote position. While not tied to a physical office, you will be working with geological data pertaining to potential resource sites, with a focus on projects that may involve exploration within regions like Seef, Capital, BH .
Qualifications:
- M.Sc. or Ph.D. in Geology, Geophysics, or a related field.
- Minimum of 6 years of experience in geological data analysis and interpretation.
- Proven expertise with geological modeling and data analysis software (e.g., ArcGIS, Petrel, Leapfrog).
- Strong background in statistical analysis and quantitative modeling.
- Experience with mineral exploration or resource estimation.
- Excellent report writing and presentation skills.
- Ability to work autonomously and manage multiple projects in a remote setting.
- Strong understanding of geological processes and rock types.
- Proficiency in programming languages commonly used in data science (e.g., Python, R) is a plus.
Remote Graduate Trainee - Data Analysis
Posted 15 days ago
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Agronomist - Remote Sensing & Data Analysis
Posted 20 days ago
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Responsibilities:
- Develop and manage remote sensing programs for agricultural applications using satellite, aerial, and drone imagery.
- Process, analyze, and interpret geospatial data (e.g., NDVI, EVI, thermal imagery) to assess crop health, identify stress factors, and estimate yields.
- Apply GIS and remote sensing software (e.g., QGIS, ArcGIS, ENVI, Google Earth Engine) for data analysis and visualization.
- Develop and refine algorithms for crop classification, land cover mapping, and change detection.
- Collaborate with agronomists and soil scientists to integrate remote sensing data with ground-truth information.
- Provide data-driven recommendations for precision agriculture practices, including irrigation, fertilization, and pest/disease management.
- Develop predictive models for crop performance and risk assessment based on environmental factors and imagery.
- Create clear and concise reports, maps, and presentations for clients and internal teams.
- Stay updated on the latest advancements in remote sensing technology, GIS, and agricultural science.
- Contribute to the development of new data products and services.
- Train and support field teams on data collection protocols and interpretation.
Qualifications:
- Master's degree or Ph.D. in Agronomy, Soil Science, Agricultural Engineering, Geography, or a related field with a strong focus on remote sensing and GIS.
- Minimum of 4 years of hands-on experience in applying remote sensing and GIS techniques to agriculture.
- Proficiency in relevant software such as ArcGIS, QGIS, Google Earth Engine, ERDAS Imagine, or ENVI.
- Strong understanding of agronomic principles, crop physiology, and soil science.
- Experience with image processing and analysis for vegetation indices, spectral analysis, and time-series analysis.
- Familiarity with drone data acquisition and processing workflows.
- Excellent analytical, statistical, and problem-solving skills.
- Proficient in programming languages commonly used in data analysis (e.g., Python, R) is a plus.
- Strong written and verbal communication skills, with the ability to present complex data effectively.
- Proven ability to work independently and collaboratively in a remote setting.
Join us in revolutionizing agriculture through data and technology, working remotely from your home base.
Principal Geologist - Remote Sensing & Data Analysis
Posted 8 days ago
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Key Responsibilities:
- Lead the application of remote sensing technologies (e.g., satellite imagery, LiDAR, hyperspectral) for geological mapping, mineral prospectivity analysis, and resource estimation.
- Develop and implement sophisticated data processing workflows for large geological datasets, including geophysical, geochemical, and remote sensing data.
- Utilize advanced geological modeling software and GIS platforms to integrate and interpret diverse data sources.
- Conduct detailed geological interpretations and generate predictive models for mineral exploration.
- Collaborate virtually with exploration teams worldwide, providing expert guidance and technical support.
- Research and evaluate new remote sensing technologies and data analysis methodologies for potential application in mineral exploration.
- Prepare comprehensive technical reports, presentations, and geological maps for internal stakeholders and external partners.
- Mentor junior geologists and data scientists on best practices in remote sensing and geological data analysis.
- Ensure data quality, integrity, and efficient management throughout the exploration lifecycle.
- Contribute to the strategic direction of the company's exploration programs and technological advancements.
- Manage multiple complex projects simultaneously from conceptualization through to reporting in a remote setting.
- Ph.D. or Master's degree in Geology, Geophysics, Earth Science, or a related field, with a specialization in remote sensing and/or data analysis.
- Minimum of 8-10 years of progressive experience in geological exploration, with a strong focus on remote sensing applications and data integration.
- Demonstrated expertise in processing and interpreting satellite imagery (e.g., Landsat, Sentinel, ASTER), LiDAR, and hyperspectral data for geological purposes.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling software (e.g., Leapfrog, Micromine).
- Strong programming skills (e.g., Python, R) for data analysis and workflow automation are highly desirable.
- Proven ability to conduct complex geological interpretations and develop predictive models.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
- Demonstrated ability to work independently and lead projects effectively in a remote environment.
- Experience with mineral systems and deposit modeling.
- Familiarity with geophysical and geochemical data integration.
- A proactive approach to problem-solving and continuous learning.
Senior Agronomist - Remote Sensing & Data Analysis
Posted 13 days ago
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Key Responsibilities:
- Acquire, process, and analyze satellite and aerial imagery for agricultural applications.
- Develop and implement algorithms for crop monitoring, stress detection, and yield prediction.
- Utilize GIS software to map and analyze spatial agricultural data.
- Interpret remote sensing data to provide actionable insights for farm management.
- Collaborate with farmers, researchers, and agricultural stakeholders to implement data-driven solutions.
- Conduct field validation of remote sensing data and model outputs.
- Stay abreast of the latest advancements in remote sensing technology and agronomy.
- Prepare technical reports, presentations, and data visualizations for diverse audiences.
- Contribute to the development of new remote sensing-based agricultural products and services.
- Manage projects related to remote sensing applications in agriculture.
This role offers an exciting opportunity to work at the forefront of agricultural technology, contributing to sustainable and efficient farming practices. Strong analytical skills, a problem-solving mindset, and excellent communication abilities are essential.
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Senior Agronomist (Remote Sensing & Data Analysis)
Posted 18 days ago
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Responsibilities:
- Utilize remote sensing technologies (satellite imagery, drone data) for crop monitoring and assessment.
- Analyze geospatial data to assess crop health, stress, and nutrient deficiencies.
- Develop and implement data-driven strategies for optimizing irrigation and fertilization.
- Conduct soil analysis and develop recommendations for soil fertility management.
- Apply statistical methods and machine learning algorithms to agricultural datasets.
- Collaborate with field teams to validate remote sensing findings and implement precision agriculture practices.
- Manage the acquisition, processing, and interpretation of agricultural data.
- Prepare detailed reports and presentations on findings and recommendations.
- Provide technical guidance and training to farmers and agricultural staff.
- Stay current with advancements in remote sensing, agronomy, and agricultural technology.
- Master's degree or Ph.D. in Agronomy, Soil Science, Agricultural Engineering, or a related field.
- Minimum of 6 years of experience in agronomy with a focus on remote sensing and data analysis.
- Proficiency with GIS software (e.g., ArcGIS, QGIS) and image processing software.
- Strong understanding of crop physiology, soil science, and agricultural management practices.
- Experience with statistical analysis and machine learning techniques.
- Familiarity with agricultural data management platforms and tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to conduct fieldwork and interpret results in an agricultural setting.
- Valid driver's license and willingness to travel to field sites.
Senior Geologist - Remote Sensing & Data Analysis
Posted 19 days ago
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Responsibilities:
- Acquire, process, and interpret remote sensing data (satellite, aerial) for geological applications.
- Perform spatial analysis and data integration using GIS and remote sensing software.
- Develop and refine geological models to identify mineral exploration targets.
- Collaborate with field geologists and geophysicists to guide exploration programs.
- Analyze geophysical data in conjunction with remote sensing datasets.
- Prepare comprehensive geological reports, maps, and presentations.
- Stay current with advancements in remote sensing technologies and geological methodologies.
- Contribute to the strategic planning of global exploration activities.
- Manage and analyze large geological datasets efficiently.
- Master's or Ph.D. in Geology, Earth Science, or a related discipline with a focus on remote sensing.
- Minimum of 7 years of experience in geological exploration and data analysis.
- Expertise in remote sensing software (e.g., ArcGIS, ENVI, ERDAS IMAGINE).
- Proficiency in data analysis using Python or R is highly preferred.
- Strong understanding of geological principles, mineralogy, and structural geology.
- Experience with hyperspectral and multispectral data analysis.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to work independently and manage complex projects in a remote setting.
- Experience in the mining industry is essential.
Senior Resource Geologist - Remote Sensing & Data Analysis
Posted today
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Responsibilities:
- Utilize satellite imagery, LiDAR, and other remote sensing data for geological mapping and anomaly detection.
- Perform advanced geospatial analysis and data fusion to identify mineral potential.
- Develop and refine geological models using specialized software based on integrated datasets.
- Interpret complex geological, geochemical, and geophysical data from various sources.
- Collaborate virtually with geologists, geochemists, and geophysicists worldwide.
- Prepare detailed reports, presentations, and maps for exploration strategy development.
- Provide technical guidance on the application of remote sensing techniques in mineral exploration.
- Stay abreast of the latest advancements in remote sensing technology and data processing methodologies.
- Manage exploration data integrity and maintain geological databases.
- Contribute to the planning and execution of field validation programs.
- Ensure all activities comply with safety and environmental best practices.
- Effectively manage time and deliverables in a fully remote work setup.
- Master's degree in Geology, Earth Sciences, or a related field with a focus on remote sensing or geomatics.
- Minimum of 7 years of experience in geological exploration, with a significant emphasis on remote sensing data analysis.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ERDAS Imagine, ENVI).
- Experience with geological modeling software (e.g., Leapfrog, ioGAS) is highly desirable.
- Strong understanding of mineral deposit types and exploration geology.
- Excellent analytical, statistical, and problem-solving skills.
- Demonstrated ability to work independently and as part of a distributed global team.
- Superior written and verbal communication skills.
- Adaptability and strong organizational skills for a remote work environment.
- Experience with Python or other scripting languages for data automation is a plus.