Data Analyst - Power BI- Banking at VAM Systems

Manama, Capital, Bahrain -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Statistical Plotting, Power BI, Python, Matlab, SQL, Data Modeling, ETL Development, Data Warehousing, SAS, Microsoft SQL Server, Cloud-Based BI, AI/ML Tools, Natural Language Processing, Computer Vision, Analytical Skills, Problem-Solving

Industry

IT Services and IT Consulting

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)

Responsibilities

The Data Analyst will be responsible for delivering production-grade analytics solutions and working with large-scale datasets. The role requires collaboration with cross-functional teams to derive actionable insights that support strategic decision-making.