85 Power Bi jobs in Bahrain

Job Description

We are currently looking for Power BI - 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)

Job Description

VAM Systems is currently looking for Power BI - Banking 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)

We are currently looking for

Data Analyst- Power BI- Banking

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.

Terms and conditions

Joining time frame: days)

Should you be interested in this opportunity, please send your latest resume at the earliest

We are currently looking for Power BI - Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

• 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.

• 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.

• 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.

• English
• Arabic

Joining time frame: 15 - 30 days

• M.Sc. or Ph.D. in Geology, Geophysics, or a related field.
• Minimum of 6 years of experience in geological data analysis and interpretation.
• Proven expertise with geological modeling and data analysis software (e.g., ArcGIS, Petrel, Leapfrog).
• Strong background in statistical analysis and quantitative modeling.
• Experience with mineral exploration or resource estimation.
• Excellent report writing and presentation skills.
• Ability to work autonomously and manage multiple projects in a remote setting.
• Strong understanding of geological processes and rock types.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) is a plus.

• Assisting in the collection and organization of data from various sources.
• Performing data cleaning and preprocessing to ensure data quality and accuracy.
• Conducting exploratory data analysis to identify trends, patterns, and anomalies.
• Supporting the development and implementation of data models and algorithms.
• Generating reports and visualizations to communicate findings to stakeholders.
• Learning and applying statistical methods and data mining techniques.
• Collaborating with team members on data-related projects and initiatives.
• Assisting in the documentation of data processes and methodologies.
• Participating in training sessions and workshops to enhance technical skills.
• Contributing to the continuous improvement of data analysis processes and tools.
• Understanding business requirements and translating them into data analysis tasks.
• Shadowing senior analysts to gain practical insights into real-world data challenges.

• Assist senior data analysts in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis using tools such as Excel, SQL, and potentially introductory statistical software.
• Help in the creation of reports, dashboards, and visualizations to communicate data insights.
• Support the maintenance and update of databases and data repositories.
• Learn and apply data analysis methodologies and best practices.
• Collaborate with team members on assigned projects, participating in team meetings and contributing ideas.
• Assist in testing and validating data sets and analysis outputs.
• Identify trends and patterns in data under the guidance of experienced analysts.
• Document processes and methodologies used in data analysis tasks.
• Seek opportunities for learning and skill development through online courses and internal training.
• Follow company guidelines for data privacy and security.
• Contribute to a positive and collaborative remote team dynamic.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
• Strong foundational understanding of statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with database concepts and basic SQL querying is a plus.
• Eagerness to learn new tools and techniques in data analysis and visualization.
• Excellent attention to detail and accuracy.
• Strong analytical and problem-solving aptitude.
• Good written and verbal communication skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• A proactive attitude and a willingness to take on new challenges.
• Enthusiasm for a career in data analysis.
• Must have access to a reliable internet connection and a suitable home office environment for remote work.