29 Power Bi jobs in Bahrain
Graduate Trainee - Data Analysis
Posted today
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Job Description
- Assist senior data analysts in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of data models and statistical analyses.
- Create visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data analysis techniques and tools, such as SQL, Python (Pandas, NumPy), and R.
- Participate in team meetings and contribute to project discussions.
- Develop a strong understanding of data governance and best practices.
- Assist in testing and validating data-driven solutions.
- Collaborate with team members to troubleshoot data-related issues.
- Undertake training and development activities to build expertise in data analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and SQL.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote learning environment.
- Proactive attitude towards learning and skill development.
- Must have access to a reliable computer and stable internet connection for remote participation.
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform statistical analysis and data mining to identify trends and patterns.
- Develop and maintain data models and algorithms.
- Create visualizations and reports to communicate findings effectively.
- Collaborate with senior analysts on data-driven projects.
- Learn and utilize various data analysis tools and software.
- Document data processes and analysis methodologies.
- Contribute to the development of data quality standards.
- Support ad-hoc data requests from various departments.
- Stay updated on the latest trends in data analysis and data science.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and preparing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms.
- Create data visualizations and reports to communicate findings to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Learn and apply various data analysis techniques and tools (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and contribute to project discussions.
- Stay updated on the latest developments in data science and analytics.
- Assist in documenting data processes and methodologies.
- Help in A/B testing design and analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Familiarity with programming languages commonly used in data analysis, such as Python or R.
- Knowledge of SQL for data extraction and manipulation.
- Basic understanding of statistical concepts and machine learning algorithms.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and collaboration skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently in a remote environment.
- Proactive attitude and strong work ethic.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data analysis using statistical methods and tools.
- Create reports and visualizations to present data insights.
- Support senior analysts in data-driven projects.
- Ensure data accuracy and integrity.
- Learn and apply new data analysis techniques and software.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Eagerness to learn and develop skills in data analysis.
- Familiarity with Python, R, or SQL is a plus.
- Excellent attention to detail.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and processing data from various sources.
- Perform data analysis using statistical methods and tools.
- Support the development of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior analysts on data-related projects.
- Identify patterns and trends in datasets.
- Learn and apply new data analysis techniques and software.
- Contribute to data quality assurance efforts.
- Document analytical processes and methodologies.
- Present findings to team members.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and methodologies.
- Familiarity with programming languages such as Python or R is a plus.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is beneficial.
- Excellent communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively in a team environment.
- Attention to detail and commitment to data accuracy.
Graduate Trainee - Data Analysis
Posted 10 days ago
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Job Description
Remote Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and processing data.
- Perform data analysis using statistical methods and tools.
- Create data visualizations and reports for stakeholders.
- Support senior analysts in developing data-driven insights.
- Learn and apply new data analysis techniques and software.
- Collaborate with team members in a remote setting.
- Recent graduate with a Bachelor's degree in a quantitative field (e.g., Statistics, Math, Computer Science, Economics).
- Strong analytical and problem-solving skills.
- Familiarity with data analysis tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent communication and teamwork abilities.
- Eagerness to learn and grow in a remote environment.
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Junior Graduate Trainee Program - Data Analysis
Posted 10 days ago
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Job Description
Key responsibilities will include:
- Assisting in the collection, organization, and management of large datasets.
- Performing data cleaning and preprocessing to ensure data accuracy and integrity.
- Conducting exploratory data analysis to identify trends, patterns, and insights.
- Developing and implementing data visualizations to communicate findings effectively.
- Supporting senior team members in the creation of reports and dashboards.
- Learning and applying statistical methods and machine learning techniques.
- Collaborating with cross-functional teams to understand data needs and deliver solutions.
- Participating in training sessions and workshops to enhance technical skills.
The ideal candidate will possess a strong academic background, ideally with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Excellent analytical and problem-solving skills are essential, along with a keen eye for detail and a passion for uncovering insights from data. Proficiency in at least one programming language such as Python or R is highly desirable, as is familiarity with data visualization tools like Tableau or Power BI. Strong communication skills, both written and verbal, are crucial for presenting findings to diverse audiences. This role is based in **Sanad, Capital, BH**, offering a fantastic stepping stone into the world of data analytics within a supportive and challenging environment. Join us and help shape the future of data-driven decision-making.
Senior Geologist - Remote Sensing and Data Analysis
Posted today
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Job Description
Key Responsibilities:
- Process and analyze remote sensing data (satellite imagery, aerial photos) for geological mapping and mineral exploration.
- Identify geological structures, lithologies, and alteration zones using spectral and spatial analysis techniques.
- Integrate remote sensing data with other geological datasets (geophysical, geochemical, drilling).
- Develop geological models and interpretations based on integrated data analysis.
- Utilize GIS and remote sensing software for data management, visualization, and analysis.
- Conduct literature reviews and data compilation for exploration projects.
- Prepare technical reports, presentations, and maps for internal and external stakeholders.
- Collaborate with multidisciplinary exploration teams to define targets and strategies.
- Stay abreast of advancements in remote sensing technologies and geological interpretation methods.
- Mentor junior geologists and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in Geology, Geophysics, or a related field with a specialization in remote sensing or exploration.
- Minimum of 7-10 years of experience in mineral exploration geology, with significant focus on remote sensing and data analysis.
- Expertise in processing and interpreting multispectral, hyperspectral, and radar imagery.
- Proficiency in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS IMAGINE).
- Strong programming skills (Python, R) for data analysis and automation are highly preferred.
- Solid understanding of structural geology, mineralogy, and deposit environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills, with experience presenting technical findings.
- Demonstrated success in contributing to mineral exploration project discoveries.
Geologist (Remote Sensing & Data Analysis)
Posted today
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Job Description
Key Responsibilities:
- Analyze remote sensing data (e.g., hyperspectral, multispectral, radar) for geological mapping and mineral exploration.
- Utilize GIS and geological software (e.g., ArcGIS, QGIS, Leapfrog) for data processing and visualization.
- Develop and implement geological models based on integrated datasets.
- Interpret geophysical and geochemical data in conjunction with remote sensing imagery.
- Identify and prioritize prospective areas for mineral exploration based on data analysis.
- Prepare detailed geological reports, presentations, and technical recommendations.
- Collaborate with field geologists and exploration teams to validate remote sensing interpretations.
- Stay current with advancements in remote sensing technologies and geological data analysis techniques.
- Ensure data quality and integrity throughout the analysis process.
- Master's degree or Ph.D. in Geology, Geophysics, or a related Earth Science field.
- Minimum of 5 years of experience in geological exploration, with a strong focus on remote sensing and data analysis.
- Expertise in processing and interpreting various types of satellite and aerial imagery.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling software.
- Strong analytical skills and experience with statistical analysis and data mining techniques.
- Knowledge of mineral deposit types and exploration methodologies.
- Familiarity with programming languages such as Python for data analysis is highly desirable.
- Excellent written and verbal communication skills for technical reporting and remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- Commitment to safety and environmental best practices in resource exploration.