Data Analyst - Power BI- Banking

VAM Systems; Manama; On-site; BHD 60,000 - 80,000; Full time

Job summary

A leading technology company is seeking an experienced Data Analyst - Business Intelligence Engineer for its operations in Bahrain. The ideal candidate will have 5–8 years of experience in data analytics and a strong proficiency in SQL and Power BI. Responsibilities include delivering analytical solutions using large datasets and communicating findings to stakeholders. A Bachelor’s degree in a relevant field is required, and familiarity with the banking domain is preferred.

Qualifications

• 5–8 years of experience in Business Intelligence and data analytics, preferably in banking or financial services.
• Professional certifications in BI platforms are preferred.
• Experience applying NLP and computer vision to unstructured data is a plus.

Responsibilities

• Deliver production-grade analytics solutions using large-scale datasets.
• Perform data profiling and provide insights for strategic decisions.
• Communicate complex data findings clearly to stakeholders.

Skills

Data visualization

Statistical analysis

SQL

Python

Data modeling

Education

Bachelor’s degree in Computer Science or related field

Master’s degree

Tools

Power BI

SAS

Microsoft SQL Server

Azure

AWS

Job description

Job Description

VAM Systems is currently looking for Data Analyst - 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.

Languages

• English
• Arabic

Terms and conditions

Joining time frame: 15 - 30 days