109 Report Generation jobs in Bahrain

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.

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.

Job Description

VAM Systems is currently looking for 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.

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems is currently looking for
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.

Terms and conditions

Joining time frame: days)

• Managing day to day operational tasks and coordination across staff.

• Preparing financial, forecasts, sales, and warehouse reports.

• Supporting business intelligence through dashboards, data analysis, and KPI tracking.

• Assisting direct manager by providing actionable insights

• Analyze large datasets to identify trends, patterns, and insights related to business performance.
• Develop and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker).
• Design and implement data models and structures to support business intelligence initiatives.
• Perform ad-hoc data analysis and provide timely responses to business inquiries.
• Collaborate with business units to understand their data needs and translate them into analytical solutions.
• Ensure data accuracy, integrity, and consistency across reporting platforms.
• Develop and document analytical processes, methodologies, and best practices.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Identify opportunities for process improvements and automation within the BI function.
• Mentor junior analysts and contribute to team development.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, business intelligence, or a related role.
• Proficiency in SQL for data extraction and manipulation.
• Advanced skills in at least one major BI tool (Tableau, Power BI, Looker, QlikView).
• Strong understanding of statistical concepts and data modeling techniques.
• Experience with data warehousing concepts and ETL processes is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently and as part of a collaborative team.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform exploratory data analysis (EDA) to uncover insights and trends.
• Support the development and testing of machine learning models.
• Create data visualizations and reports using BI tools.
• Write and optimize SQL queries for data extraction and manipulation.
• Collaborate with senior data scientists on ongoing projects.
• Learn and apply new data science techniques and tools.
• Document methodologies and findings.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundational knowledge of statistics, machine learning, and data mining.
• Proficiency in Python or R for data analysis.
• Experience with SQL for database querying.
• Familiarity with data visualization tools and libraries is a plus.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in the collection, cleaning, and transformation of data from various sources.
• Develop and maintain reports and dashboards using BI tools to track key performance indicators (KPIs).
• Perform ad-hoc data analysis to support business inquiries and identify trends.
• Collaborate with business users to understand their data needs and translate them into analytical requirements.
• Support the data warehousing team in data modeling and ETL processes.
• Ensure data accuracy and integrity across all reporting and analytical outputs.
• Contribute to the development and improvement of data governance practices.
• Learn and apply statistical methods and data visualization techniques.
• Prepare presentations and summaries of findings for management.

• Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline.
• Foundational knowledge of data analysis principles and techniques.
• Familiarity with SQL for data querying is highly desirable.
• Basic understanding of BI tools (e.g., Tableau, Power BI, Looker) or willingness to learn.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Good communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Proactive attitude and eagerness to learn and grow in a data-driven environment.
• Ability to manage multiple tasks and meet deadlines.