VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:
Qualifications:
- Bachelors degree in Computer Science Information Systems Data Science or a related field is required. A Masters degree is preferred.
Certifications:
- Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.
Required experience: Minimum of 58 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:
Terms and conditions
Joining time frame: (15 - 30 days)
Remote Work :
No
Employment Type :
Full-time
VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions: Qualifications: Bachelors degree in Computer Science Information Systems Data Science or a related field is required. A Masters degree is preferred. Cer...
VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:
Qualifications:
- Bachelors degree in Computer Science Information Systems Data Science or a related field is required. A Masters degree is preferred.
Certifications:
- Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.
Required experience: Minimum of 58 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:
Terms and conditions
Joining time frame: (15 - 30 days)
Remote Work :
No
Employment Type :
Full-time
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