334 Operations Analysis jobs in Bahrain
Senior Industrial Engineer - Operations Analysis
Posted 10 days ago
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Job Description
Key Responsibilities:
- Analyze existing operational processes to identify areas for improvement in efficiency, cost, and quality.
- Develop and implement process improvements using Lean, Six Sigma, and other methodologies.
- Conduct detailed workflow analysis, time studies, and resource utilization assessments.
- Design and implement data collection systems to monitor operational performance.
- Utilize statistical tools and techniques to analyze operational data and identify trends.
- Develop and maintain performance metrics and dashboards for key operational areas.
- Collaborate with cross-functional teams to gather requirements and implement solutions.
- Create process maps, flowcharts, and standard operating procedures (SOPs).
- Identify bottlenecks in operations and develop strategies to alleviate them.
- Develop business cases for proposed process improvements, including cost-benefit analysis.
- Implement and manage change initiatives, ensuring smooth adoption of new processes.
- Provide training and guidance to operational teams on new procedures and methodologies.
- Evaluate and recommend technology solutions to enhance operational efficiency.
- Conduct root cause analysis for operational failures and implement corrective actions.
- Contribute to the development of long-term operational strategies and capacity planning.
- Ensure compliance with industry standards and regulatory requirements.
- Support quality assurance initiatives through process design and monitoring.
- Prepare and present comprehensive reports on operational analysis and recommendations to management.
- Foster a culture of continuous improvement within the operational teams.
- Manage project timelines and deliverables for operational improvement initiatives.
- Bachelor’s degree in Industrial Engineering, Operations Management, or a related technical field.
- Master’s degree in Industrial Engineering or a related field is preferred.
- Minimum of 6 years of experience in industrial engineering or operations analysis, with a focus on process improvement.
- Proven expertise in Lean Manufacturing, Six Sigma (Green Belt or Black Belt certification highly desirable), and other continuous improvement methodologies.
- Strong analytical, quantitative, and problem-solving skills.
- Proficiency in statistical software (e.g., Minitab, SPSS) and process simulation tools.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent understanding of workflow analysis, time and motion studies, and capacity planning.
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Excellent communication, presentation, and interpersonal skills.
- Ability to collaborate effectively with diverse teams and stakeholders.
- Experience in developing and implementing Standard Operating Procedures (SOPs).
- Knowledge of ERP systems and their impact on operations.
- Detail-oriented with a commitment to data accuracy.
- Ability to work independently and take initiative.
- Familiarity with quality management systems.
- Proven track record of driving measurable improvements in operational efficiency.
- Adaptability to changing project requirements and technologies.
- Experience in process documentation and mapping.
- Strong understanding of business processes and their optimization.
Senior Industrial Engineer - Operations Analysis
Posted 11 days ago
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Job Description
Responsibilities:
- Conduct in-depth analysis of existing operational processes, systems, and workflows.
- Identify key performance indicators (KPIs) and develop methods for tracking and measuring operational efficiency.
- Utilize simulation and modeling tools to evaluate potential process changes and predict outcomes.
- Develop data-driven recommendations for process improvements, cost savings, and productivity enhancements.
- Design and implement operational strategies to optimize resource allocation and workflow.
- Prepare detailed reports and present findings and recommendations to senior management.
- Collaborate with cross-functional teams to implement approved operational changes.
- Stay abreast of industry best practices and emerging technologies in operations management.
- Mentor junior engineers and provide technical guidance on operational analysis projects.
- Ensure operational processes comply with relevant regulations and standards.
Qualifications:
- Bachelor's degree in Industrial Engineering, Operations Research, or a related quantitative field.
- Minimum of 7 years of progressive experience in industrial engineering or operations analysis.
- Expertise in analytical software, simulation tools (e.g., Arena, AnyLogic), and database management.
- Strong statistical analysis and data modeling capabilities.
- Excellent problem-solving, critical thinking, and decision-making skills.
- Proven project management experience, including planning, execution, and monitoring.
- Outstanding written and verbal communication skills, with the ability to present complex information clearly.
- Experience in operations management or supply chain is advantageous.
- Ability to work independently and as part of a team in a fast-paced environment.
Graduate Trainee - Data Analysis
Posted today
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Job Description
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets for analysis.
- Perform data analysis using statistical methods and data mining techniques.
- Develop visualizations and dashboards to present data insights effectively.
- Support senior analysts in identifying trends, patterns, and anomalies within data.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data requirements and deliver insights.
- Contribute to the development of data models and algorithms.
- Document data analysis processes and findings.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in generating reports and presentations for stakeholders.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and basic understanding of databases.
- Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong attention to detail and accuracy.
- A keen interest in data analysis and its application in business.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform basic statistical analysis and data mining to identify trends and patterns.
- Support senior analysts in developing reports and presentations based on data findings.
- Learn and apply various data visualization techniques to present data effectively.
- Contribute to data quality checks and ensure the accuracy of information.
- Participate in team meetings and provide input on data-related projects.
- Develop proficiency in data analysis software and tools.
- Understand business requirements and translate them into data analysis tasks.
- Conduct research on industry trends and best practices in data analysis.
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
- Knowledge of any programming language for data analysis (e.g., Python, R, SQL) is a plus.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work effectively in a team and follow instructions accurately.
- Strong attention to detail and organizational skills.
- Enthusiasm for a career in data analysis and insights.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models to analyze data.
- Create data visualizations and dashboards to present findings effectively.
- Support senior analysts in ad-hoc data analysis requests.
- Learn and apply various data analysis tools and techniques.
- Collaborate with cross-functional teams to understand data needs.
- Contribute to reports and presentations on data insights.
- Maintain documentation of data analysis processes.
- Participate in training sessions and team meetings.
- Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong academic record with a focus on quantitative subjects.
- Foundational knowledge of statistical concepts and data analysis.
- Familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a plus.
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal abilities.
- Eagerness to learn and develop data analysis skills.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, processing, and cleaning large datasets from various sources.
- Perform statistical analysis on data to identify trends, patterns, and correlations.
- Develop data visualizations and reports to communicate findings effectively.
- Support senior analysts in developing predictive models and business intelligence solutions.
- Learn and apply various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and provide input on analytical projects.
- Gain exposure to different business areas and their data needs.
- Assist in documenting data sources, methodologies, and findings.
- Complete assigned projects and learning modules within set timelines.
- 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 and foundational knowledge of SQL.
- Exposure to statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop skills in data analysis and business intelligence.
- Strong organizational and time management abilities.
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Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
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 2 days ago
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 3 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.