Data Analyst

1 day ago

Manama, Manama, Bahrain VAM Systems Full time 90,000 - 120,000 per year
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: days)

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