4 Market Research jobs in Manama
Junior Business Analyst - Market Research
3001 Riffa, Southern
BHD65000 Annually
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Job Description
Our client is seeking a motivated and detail-oriented Junior Business Analyst to join their dynamic team. This position offers a hybrid work arrangement, allowing for flexibility while fostering team collaboration. You will play a key role in supporting market research initiatives, analyzing business requirements, and contributing to strategic decision-making. This is an excellent opportunity for an ambitious individual looking to grow their career in business analysis and gain exposure to diverse projects.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in gathering and documenting business requirements from stakeholders.
- Support market research activities, including data collection and analysis.
- Help in creating reports and presentations on findings and recommendations.
- Collaborate with senior analysts to define project scope and objectives.
- Perform data analysis to identify trends, patterns, and insights.
- Assist in developing process flows and use case documentation.
- Participate in testing and validation activities for new solutions.
- Contribute to the continuous improvement of business analysis processes.
- Support the project management team with various administrative tasks.
- Learn and apply business analysis tools and methodologies.
Qualifications:
- Bachelor's degree in Business Administration, Economics, Information Systems, or a related field.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication abilities.
- Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint.
- Familiarity with business analysis concepts and methodologies is a plus.
- Ability to work effectively both independently and as part of a team.
- Strong organizational skills and attention to detail.
- Eagerness to learn and adapt to new challenges.
- Must be able to work from the office in Riffa, Southern, BH at least 2-3 days per week, with remote work capabilities for the remainder.
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0
Remote Geologist - Data Analysis
21542 Busaiteen, Muharraq
BHD65 Hourly
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Our client is looking for a highly skilled and self-motivated Remote Geologist specializing in data analysis to join their innovative mining operations team. This is a fully remote position, allowing you to contribute your expertise from anywhere in the world. You will be instrumental in analyzing geological data, identifying potential resource deposits, and contributing to exploration strategies. The ideal candidate possesses a strong analytical mindset, a deep understanding of geological principles, and proficiency in data interpretation tools.
Key Responsibilities:
Key Responsibilities:
- Analyze and interpret vast geological datasets, including seismic, well log, and core sample data, to identify patterns and potential mineral or hydrocarbon reserves.
- Develop and implement advanced geological modeling techniques using specialized software.
- Conduct literature reviews and research to support exploration initiatives and resource estimation.
- Collaborate with remote exploration and drilling teams, providing geological insights and recommendations.
- Prepare detailed geological reports, maps, and presentations for management and stakeholders.
- Utilize statistical analysis and machine learning techniques to enhance data interpretation and predictive modeling.
- Ensure the quality and integrity of geological data collected through various exploration activities.
- Stay updated on the latest advancements in geological software, techniques, and industry best practices.
- Contribute to the strategic planning of exploration programs and resource development projects.
- Participate in virtual team meetings and discussions, effectively communicating findings and contributing to collaborative decision-making.
- Master's or Ph.D. in Geology, Geophysics, or a related Earth Science discipline.
- Minimum of 7 years of experience in geological data analysis and interpretation within the mining or oil and gas industry.
- Demonstrated expertise in geological modeling software (e.g., Petrel, Leapfrog, ArcGIS) and statistical analysis tools (e.g., R, Python).
- Strong understanding of geological formations, mineralogy, and subsurface characterization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work autonomously and manage time effectively in a remote work environment.
- Superior written and verbal communication skills, with the ability to present complex technical information clearly.
- Experience with remote sensing data and GIS applications is a plus.
- Familiarity with data visualization techniques for geological information.
- This role offers the chance to shape the future of resource discovery with a forward-thinking company.
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1
Graduate Trainee - Data Analysis
BH3 Ghuraifa, Capital
BHD30000 Annually
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Posted 1 day ago
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Job Description
Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their Data Analysis team in Budaiya, Northern, BH . This program is designed for recent graduates eager to launch their careers in data science and analytics. Under the guidance of experienced professionals, you will gain hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to extract valuable insights. You will assist in developing reports, dashboards, and visualizations that communicate findings effectively to stakeholders. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and proficiency in basic statistical concepts. Familiarity with data analysis tools and programming languages such as Excel, SQL, Python, or R is advantageous. You will learn to identify trends, patterns, and correlations within data, contributing to data-driven decision-making across the organization. This internship provides a comprehensive introduction to the field of data analysis, covering data manipulation, statistical modeling, and presentation techniques. You will work on real-world projects, contributing to meaningful business outcomes. We are seeking enthusiastic individuals with a passion for learning and a desire to develop their skills in a supportive and challenging environment. This is an exceptional pathway to building a successful career in data analytics.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks.
- Conduct exploratory data analysis to identify trends and patterns.
- Support the creation of reports, dashboards, and data visualizations.
- Help in interpreting data and generating insights for business stakeholders.
- Learn and apply various data analysis techniques and tools.
- Contribute to data quality assurance efforts.
- Participate in team meetings and present findings.
- Collaborate with senior analysts on ongoing projects.
- Develop foundational skills in statistical analysis and data modeling.
- 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 quantitative skills.
- Proficiency in Microsoft Excel; knowledge of SQL is a plus.
- Familiarity with programming languages like Python or R is advantageous.
- Excellent problem-solving abilities and attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team.
This advertiser has chosen not to accept applicants from your region.
2
Lead Research Scientist - Data Analysis
220 Askar, Southern
BHD4000 Annually
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Job Description
Our client, a prestigious research institution focused on cutting-edge advancements in materials science, is seeking a highly analytical and experienced Lead Research Scientist specializing in Data Analysis. This role is based at their state-of-the-art facility in Sanad, Capital, BH . The Lead Research Scientist will be responsible for leading the interpretation and analysis of large, complex datasets generated from experimental research, driving new discoveries and insights. This position requires a strong background in statistical modeling, data mining, machine learning, and scientific programming. You will work closely with a team of researchers, providing expertise in data management, analysis, and visualization. Responsibilities include developing advanced analytical methodologies, designing experiments from a data perspective, managing data pipelines, and translating complex findings into actionable conclusions. The ideal candidate will possess a PhD in a quantitative field such as Statistics, Computer Science, Physics, or a related discipline, with a proven track record of applying advanced analytical techniques to scientific problems. Experience with scientific visualization tools and programming languages like Python or R is essential. You will play a critical role in shaping the direction of research through rigorous data-driven insights. Responsibilities:
Qualifications:
- Lead the statistical analysis and interpretation of complex research data.
- Develop and implement advanced data mining and machine learning models.
- Design experiments to optimize data collection and analysis.
- Manage and curate large scientific datasets.
- Create compelling data visualizations to communicate findings.
- Collaborate with research teams to define analytical needs and provide insights.
- Write clear and concise reports on research findings.
- Stay abreast of the latest advancements in data science and statistical methodologies.
- Mentor junior data analysts and researchers.
- Contribute to the publication of research findings in peer-reviewed journals.
Qualifications:
- Ph.D. in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 6 years of experience in data analysis and scientific research.
- Proven expertise in statistical modeling, machine learning, and data mining.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong understanding of experimental design and scientific research principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience in materials science or a related scientific discipline is a plus.
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