49 Data Models jobs in Bahrain
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
- 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.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection and aggregation from various sources.
- Perform data cleaning and pre-processing to ensure data accuracy and consistency.
- Conduct exploratory data analysis to identify trends and patterns.
- Support the development of reports and dashboards for data visualization.
- Apply statistical methods and techniques for data interpretation.
- Collaborate with senior data analysts and scientists on project tasks.
- Learn and utilize various data analysis tools and software.
- Document data analysis processes and findings.
- Contribute to the improvement of data quality and analysis methodologies.
- Assist in the preparation of presentations on analytical findings.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science).
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Exposure to data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
- Excellent analytical thinking and problem-solving capabilities.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Enthusiasm for learning and a proactive attitude.
Embark on a data-driven career journey with us!
Research Assistant - Data Analysis
Posted 3 days ago
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Job Description
Responsibilities include:
- Assisting researchers in data collection processes across diverse methodologies.
- Performing data entry and ensuring accuracy and integrity of all collected information.
- Cleaning and pre-processing raw data to prepare it for analysis.
- Conducting preliminary statistical analysis using appropriate software (e.g., SPSS, R, Python).
- Generating reports and visualizations to summarize key findings.
- Collaborating with the research team to interpret data and identify trends.
- Maintaining detailed records of data sources, methodologies, and analysis steps.
- Providing support for literature reviews and preparing research summaries.
- Ensuring all research activities comply with ethical guidelines and data privacy regulations.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Solid understanding of statistical principles and data analysis techniques.
- Proficiency in data analysis software such as SPSS, R, Python, or similar.
- Excellent attention to detail and accuracy.
- Strong organizational and time management skills, essential for a remote role.
- Effective written and verbal communication skills for collaborating with a remote team.
- Ability to work independently and proactively manage tasks.
- Familiarity with research methodologies is a plus.
Remote Geologist - Data Analysis
Posted 4 days ago
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Job Description
Responsibilities:
- Analyze and interpret geological data from various sources, including drill logs, core samples, geochemical assays, and geophysical surveys, to identify promising mineral prospects.
- Develop and maintain 3D geological models using specialized software, integrating diverse datasets to understand subsurface structures and mineralization.
- Perform statistical analysis of geological data to assess grade distributions, resource potential, and exploration risk.
- Collaborate remotely with field geologists, engineers, and project managers to guide exploration strategies and program design.
- Contribute to the estimation of mineral resources and reserves, adhering to industry standards (e.g., JORC, NI 43-101).
- Prepare detailed technical reports, presentations, and summaries of geological findings for internal review and external stakeholders.
- Stay abreast of the latest advancements in geological modeling, data analysis techniques, and mineral exploration technologies.
- Ensure data integrity and quality control throughout the data management and analysis process.
- Assist in the planning and execution of exploration programs, providing data-driven recommendations.
- Contribute to the overall success of resource discovery and evaluation initiatives.
Qualifications:
- Master's degree or Ph.D. in Geology, Earth Science, or a related field with a specialization in geostatistics or mineral exploration.
- Minimum of 5-7 years of experience in mineral exploration geology, with a strong focus on data analysis and interpretation.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Vulcan, Surpac, Micromine).
- Expertise in statistical analysis and data visualization techniques relevant to geological data.
- Strong understanding of mineral deposit types, exploration methods, and geological mapping.
- Excellent written and verbal communication skills, with the ability to convey complex technical information clearly.
- Ability to work independently, manage workload efficiently, and collaborate effectively in a remote team environment.
- Familiarity with GIS software (e.g., ArcGIS, QGIS) is beneficial.
- Proven ability to interpret complex datasets and provide actionable insights.
Remote Geologist (Data Analysis)
Posted 4 days ago
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Job Description
Key Responsibilities:
- Analyze large geological datasets, including geophysical, geochemical, and drilling data, to identify trends and anomalies indicative of mineralisation.
- Develop and utilize advanced geological models and visualizations to support exploration targeting.
- Interpret core logging data and integrate it with other geological information.
- Conduct remote reconnaissance and data evaluation for new exploration opportunities.
- Collaborate with field geologists and geophysicists to plan and optimize exploration programs.
- Prepare detailed technical reports and presentations for management and stakeholders.
- Stay abreast of the latest advancements in geological data analysis software and methodologies.
- Contribute to the development and maintenance of geological databases and information systems.
- Evaluate the economic potential of identified prospects based on geological and historical data.
- Ensure data quality and integrity throughout the exploration lifecycle.
- Master's degree or Ph.D. in Geology, Geophysics, or a related earth science field.
- Minimum of 5 years of experience in mineral exploration geology, with a strong emphasis on data analysis.
- Proficiency in geological software such as Leapfrog, ArcGIS, GOCAD, Petrel, or similar.
- Expertise in statistical analysis and data mining techniques applied to geological datasets.
- Strong understanding of mineral deposit types and exploration strategies.
- Excellent report writing and presentation skills.
- Ability to work independently and manage multiple projects concurrently in a remote setting.
- Experience with programming languages like Python or R for data analysis is highly desirable.
- Knowledge of remote sensing data interpretation is a plus.
- Demonstrated ability to interpret complex geological information and translate it into actionable exploration plans.
Remote Geologist - Data Analysis
Posted 4 days ago
Job Viewed
Job Description
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.
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Assisting in the collection and organization of data from various sources.
- Performing data cleaning and preprocessing to ensure data quality and accuracy.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting the development and implementation of data models and algorithms.
- Generating reports and visualizations to communicate findings to stakeholders.
- Learning and applying statistical methods and data mining techniques.
- Collaborating with team members on data-related projects and initiatives.
- Assisting in the documentation of data processes and methodologies.
- Participating in training sessions and workshops to enhance technical skills.
- Contributing to the continuous improvement of data analysis processes and tools.
- Understanding business requirements and translating them into data analysis tasks.
- Shadowing senior analysts to gain practical insights into real-world data challenges.
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Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist senior data analysts in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis using tools such as Excel, SQL, and potentially introductory statistical software.
- Help in the creation of reports, dashboards, and visualizations to communicate data insights.
- Support the maintenance and update of databases and data repositories.
- Learn and apply data analysis methodologies and best practices.
- Collaborate with team members on assigned projects, participating in team meetings and contributing ideas.
- Assist in testing and validating data sets and analysis outputs.
- Identify trends and patterns in data under the guidance of experienced analysts.
- Document processes and methodologies used in data analysis tasks.
- Seek opportunities for learning and skill development through online courses and internal training.
- Follow company guidelines for data privacy and security.
- Contribute to a positive and collaborative remote team dynamic.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
- Strong foundational understanding of statistical concepts and data analysis principles.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Familiarity with database concepts and basic SQL querying is a plus.
- Eagerness to learn new tools and techniques in data analysis and visualization.
- Excellent attention to detail and accuracy.
- Strong analytical and problem-solving aptitude.
- Good written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- A proactive attitude and a willingness to take on new challenges.
- Enthusiasm for a career in data analysis.
- Must have access to a reliable internet connection and a suitable home office environment for remote work.
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
- Create data visualizations, charts, and dashboards to communicate findings effectively.
- Support senior analysts in developing reports and presentations for stakeholders.
- Learn and apply data manipulation techniques using software like Excel, SQL, or Python.
- Participate in team meetings to discuss project progress and share findings.
- Contribute to the development of data models and analytical frameworks.
- Help in identifying data quality issues and recommend solutions.
- Gain exposure to business intelligence tools and their application.
- Assist in testing and validating data outputs.
- Follow established data governance and security protocols.
- Engage in learning activities and training sessions to enhance data analysis skills.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Basic understanding of statistical concepts and methods.
- Familiarity with at least one programming language (e.g., Python, R) or database query language (e.g., SQL) is a strong plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team in a hybrid environment.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Must be eligible to work in the specified location.
- Enthusiasm for data and its potential to drive business decisions.