89 Business Intelligence 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 from various sources.
• Perform data analysis using SQL, Python, or R to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI) to visualize key metrics.
• Support the development of predictive models and statistical analyses.
• Collaborate with business stakeholders to understand their data needs and provide relevant insights.
• Document data sources, methodologies, and analysis processes.
• Identify opportunities for data quality improvements and process enhancements.
• Stay up-to-date with the latest trends and technologies in data analytics and business intelligence.
• Assist in the preparation of presentations and summaries of findings for management.
• Ensure data accuracy and integrity in all analytical outputs.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in SQL for data querying and manipulation.
• Familiarity with programming languages such as Python or R for data analysis is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective communication and interpersonal skills, with the ability to explain complex findings clearly.
• Ability to work independently and collaboratively in a remote team environment.

• Collect, clean, and transform raw data from various sources into usable formats for analysis.
• Perform data analysis to identify trends, patterns, and insights that can inform business strategies.
• Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI, Looker).
• Assist in the creation of ad-hoc reports and perform data mining as requested by business stakeholders.
• Support the maintenance and improvement of existing data models and reporting structures.
• Collaborate with business units to understand their data needs and provide relevant insights.
• Ensure data accuracy and integrity throughout the analysis and reporting processes.
• Participate in team meetings and contribute to the continuous improvement of data analysis methodologies.
• Learn and apply statistical techniques to analyze data effectively.
• Document data analysis processes, methodologies, and findings.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Basic understanding of data analysis principles and techniques.
• Familiarity with SQL for data extraction and manipulation.
• Exposure to data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work effectively both independently and as part of a hybrid team.
• Prior internship or project experience in data analysis is a plus.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support senior analysts in creating data visualizations and presentations.
• Collaborate with team members to understand data requirements and deliver actionable insights.
• Help maintain data integrity and accuracy.
• Learn and apply statistical techniques for data analysis.
• Contribute to documentation of data processes and analysis methodologies.
• Participate in team meetings and contribute to project discussions.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Foundational understanding of data analysis principles and statistical concepts.
• Familiarity with data analysis tools and programming languages such as SQL, Python, or R is a plus.
• Exposure to business intelligence tools like Tableau or Power BI is beneficial.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment and demonstrate eagerness to learn.
• Proactive and self-motivated with a strong desire to develop data analysis skills.

• Assist in collecting, cleaning, and pre-processing data from various sources.
• Perform basic data analysis using statistical methods and tools.
• Support the creation and maintenance of reports and dashboards using Business Intelligence software (e.g., Power BI, Tableau).
• Help identify trends, patterns, and insights within datasets.
• Collaborate with team members on data-related projects.
• Document data sources, methodologies, and findings.
• Assist in ad-hoc data requests from various departments.
• Learn and apply data visualization techniques to present information clearly.
• Participate in team meetings and contribute to discussions on data insights.
• Gain practical experience in data warehousing concepts and database querying (SQL).

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong understanding of basic statistical concepts and data analysis principles.
• Familiarity with data analysis tools and software (e.g., Excel, SQL, Python/R is a plus).
• Exposure to Business Intelligence tools like Power BI or Tableau is advantageous.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication and teamwork abilities.
• Eagerness to learn and develop skills in data analytics.
• Ability to work independently and manage tasks effectively.