109 Data Visualization jobs in Bahrain

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master s degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5 8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Job Description

VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems is currently looking for
Business Intelligence Engineer
for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience
: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

• Managing day to day operational tasks and coordination across staff.

• Preparing financial, forecasts, sales, and warehouse reports.

• Supporting business intelligence through dashboards, data analysis, and KPI tracking.

• Assisting direct manager by providing actionable insights

• Assist in collecting, cleaning, and organizing large datasets.
• Perform data analysis to identify trends, patterns, and insights.
• Create reports and dashboards to visualize data findings.
• Support senior analysts in developing data-driven recommendations.
• Learn and apply various data analysis tools and techniques.
• Collaborate with team members in a remote environment.
• Contribute to the documentation of data processes and methodologies.
• Assist in A/B testing and performance analysis of business initiatives.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel or Google Sheets.
• Familiarity with database concepts and SQL is a plus.
• Basic understanding of statistical concepts.
• Eagerness to learn new tools and technologies.
• Excellent problem-solving and critical thinking abilities.
• Good communication skills and ability to work effectively in a team.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
• Support the creation of data visualizations to communicate findings effectively.
• Collaborate with team members on data-related projects and ad-hoc requests.
• Learn and apply statistical methods for data interpretation.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to database querying languages like SQL.
• Participate in team meetings, contributing to discussions and offering fresh perspectives.
• Receive mentorship from senior analysts to develop technical and analytical skills.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field.
• Strong analytical and problem-solving abilities.
• Proficiency in data analysis and spreadsheet software (e.g., Excel).
• Basic understanding of data visualization principles and tools is a plus.
• Familiarity with SQL is advantageous.
• Good communication and interpersonal skills.
• Detail-oriented with a commitment to accuracy.
• Ability to work collaboratively in a team environment.
• Must be legally eligible to work in Bahrain and available for the internship duration.
• This is a hybrid role, requiring attendance at our offices in Hamad Town, Northern, BH for designated days, with the flexibility for remote work.

• Assist in collecting and cleaning data from various business systems.
• Perform data analysis to identify trends, patterns, and insights.
• Support the creation of reports and dashboards using BI tools.
• Conduct data validation and quality checks to ensure accuracy.
• Learn and apply SQL for data extraction and manipulation.
• Assist in developing ad-hoc reports as requested by stakeholders.
• Document data analysis processes and findings.
• Collaborate with senior analysts on data projects.
• Gain exposure to data visualization techniques.
• Help maintain data dictionaries and metadata.
• Participate in team meetings and contribute ideas.
• Learn about business intelligence best practices.
• Assist in preparing presentations of analytical results.

• Currently pursuing or recently completed a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related area.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is required.
• Familiarity with SQL is a plus.
• Basic understanding of statistical concepts.
• Attention to detail and commitment to data accuracy.
• Good communication skills, both written and verbal.
• Eagerness to learn and adapt to new technologies.
• Ability to work effectively in a team environment.
• Prior internship or project experience in data analysis is advantageous.

• Assist in the collection, extraction, and transformation of data from various sources.
• Perform data cleaning and validation to ensure data accuracy and integrity.
• Conduct basic data analysis and create reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI).
• Support senior analysts in identifying trends, patterns, and anomalies in business data.
• Prepare ad-hoc reports and analyses as requested by different departments.
• Help maintain data dictionaries and documentation for reporting processes.
• Collaborate with team members on data-related projects and initiatives.
• Learn and apply new data analysis techniques and tools.
• Contribute to the continuous improvement of data reporting and analytics processes.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• 0-2 years of experience in data analysis or a related analytical role (internships and academic projects count).
• Proficiency in SQL for data querying and manipulation.
• Familiarity with data visualization tools such as Tableau, Power BI, or similar.
• Basic understanding of statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.