8 Tableau jobs in Bahrain

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development of data models and algorithms for predictive analysis.
• Create insightful data visualizations and dashboards using tools like Tableau or Power BI.
• Collaborate with senior analysts to interpret data and generate actionable insights.
• Assist in preparing reports and presentations on data findings for stakeholders.
• Learn and apply statistical methods and machine learning techniques.
• Participate in team meetings and contribute to project discussions.
• Document data processes, methodologies, and findings.
• Develop skills in programming languages such as Python or R for data analysis.
• Support the maintenance and improvement of data infrastructure.
• Engage in continuous learning and professional development within the data analytics field.

• 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.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Proficiency in Microsoft Excel.
• Eagerness to learn and a proactive approach to acquiring new skills.
• Good communication and teamwork abilities.
• Attention to detail and a commitment to data accuracy.
• Ability to work independently and manage time effectively.

• Immersive training in data analysis tools and methodologies (e.g., SQL, Python, R, Tableau).
• Practical experience working on real-world business projects.
• Exposure to business intelligence, data visualization, and statistical modeling.
• Mentorship from experienced data analysts and business leaders.
• Development of critical thinking, problem-solving, and communication skills.
• Opportunity to contribute to meaningful business insights and strategies.
• Structured learning path with clear milestones and feedback.
• Potential for full-time employment upon successful completion of the program.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in or strong willingness to learn programming languages such as Python or R.
• Familiarity with database concepts and SQL is a plus.
• Excellent problem-solving abilities and attention to detail.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work collaboratively in a team environment.
• Proactive attitude and a strong work ethic.
• Eligibility to work in Bahrain.

Strategic Planning:

• Define and articulate the overall BI strategy and roadmap aligned with organizational goals and objectives.

• Identify key business questions and challenges that can be addressed through data analysis and BI solutions.

• Stay abreast of industry trends, emerging BI technologies, and best practices to continuously enhance the organization's data capabilities.

Requirements Gathering and Analysis:

• Collaborate with business stakeholders (e.g., Sales, Marketing, Finance, Operations) to understand their data needs, reporting requirements, and key performance indicators (KPIs).

• Translate complex business requirements into technical specifications for data extraction, transformation, and loading (ETL) processes.

• Analyze existing business processes and data sources to identify areas for improvement and optimization.

BI Solution Design and Development:

• Design, develop, and maintain scalable and user-friendly BI solutions, including dashboards, reports, and data visualizations.

• Utilize BI tools (e.g., Tableau, Power BI, and Quick View) to present data in a clear, concise, and actionable manner.

• Develop and maintain data models, ensuring data integrity, accuracy, and consistency across various data sources.

• Work with IT and data engineering teams to ensure data pipelines and data warehouses are optimized for BI purposes.

Data Analysis and Insight Generation:

• Conduct in-depth data analysis using SQL, Python, R, and other statistical tools to identify trends, patterns, and anomalies.

• Perform data mining, predictive analytics, and statistical modeling to uncover hidden insights and forecast business outcomes.

• Provide data-driven recommendations to senior management and stakeholders to support strategic planning and operational improvements.

Performance Monitoring and Optimization:

• Monitor and track the effectiveness of implemented BI solutions and make necessary adjustments for continuous improvement.

• Develop and implement data validation processes to ensure the accuracy and reliability of reports and dashboards.

• Identify opportunities to automate manual reporting tasks and streamline data-to-insights workflows.

Communication and Collaboration:

• Communicate complex data insights and technical concepts effectively to both technical and non-technical audiences.

• Lead and facilitate workshops and training sessions to promote data literacy and the adoption of BI tools across the organization.

• Mentor junior analysts and foster a culture of data-driven decision-making within the team.

Skills

Strategic Planning

Solution Design and Development

Data Analysis and Insight Generation

• Assist in the collection, cleaning, and processing of large datasets.
• Develop and maintain business intelligence reports and dashboards.
• Perform data analysis to identify trends, patterns, and insights.
• Support senior analysts in data modeling and predictive analytics projects.
• Collaborate with various departments to understand their data needs and provide solutions.
• Ensure data accuracy and integrity through validation and quality checks.
• Present findings and recommendations to team members.
• Learn and apply new data analysis tools and techniques.

• Recent graduate with a Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, etc.).
• Proficiency in Microsoft Excel and strong data manipulation skills.
• Familiarity with SQL for data extraction and querying.
• Basic understanding of programming languages such as Python or R is advantageous.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive approach to work.

• Assisting in the collection, cleaning, and organization of data from various sources.
• Performing data analysis using statistical techniques and tools to identify trends, patterns, and anomalies.
• Developing and generating reports, dashboards, and visualizations to communicate findings effectively.
• Supporting the Business Intelligence team in maintaining and enhancing data models and reports.
• Collaborating with team members on data projects and contributing to data-driven solutions.
• Learning and applying various data analysis tools and methodologies (e.g., SQL, Excel, Tableau, Power BI).
• Assisting in the validation of data accuracy and integrity.
• Documenting data processes and methodologies.
• Participating in team meetings and contributing to discussions on data-related initiatives.
• Supporting ad-hoc data requests from various business units.
• Gaining exposure to business intelligence platforms and their functionalities.
• Developing a strong understanding of business operations through data analysis.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with database concepts and SQL is highly desirable.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent attention to detail and accuracy.
• Strong written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and develop new skills in data analysis and business intelligence.
• Previous internship experience in data analysis or a related field is advantageous.

• Assisting in the extraction, cleaning, and transformation of data from various sources.
• Performing data analysis to identify trends, patterns, and insights that support business objectives.
• Creating reports and visualizations using business intelligence tools such as Tableau, Power BI, or similar platforms.
• Supporting the development and maintenance of dashboards for key performance indicators (KPIs).
• Collaborating with team members to understand data requirements and deliver accurate analytical outputs.
• Conducting ad-hoc data analysis as requested by various departments.
• Documenting data sources, methodologies, and findings.
• Learning and applying new data analysis techniques and tools.
• Contributing to data quality initiatives and ensuring data integrity.
The ideal candidate will possess:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• A strong academic record with a solid foundation in statistical concepts.
• Familiarity with data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), or R is highly preferred.
• Exposure to business intelligence software (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and as part of a team.
• Enthusiasm for learning and a passion for data.
This is an exceptional opportunity to gain practical experience in a highly sought-after field and work within a supportive and engaging professional environment. We are looking for individuals who are eager to learn, contribute, and grow their skills.