1 327 Senior Data Analyst jobs in Bahrain

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)

Company Description

TAM-C Solutions empowers clients with actionable intelligence, enabling them to conduct their business in a risk-acceptable environment. This forward-thinking approach helps clients leverage data to make informed decisions and manage their operations more efficiently. The company is committed to delivering high-quality solutions that provide valuable insights and enhance business performance.

Role Description

This is a full-time, on-site role for a Data Analyst, located in Manama. The Data Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights. Day-to-day tasks include generating reports, creating data visualizations, and collaborating with various departments to support data-driven decision-making. The role also involves ensuring data accuracy and integrity, identifying trends, and making recommendations based on data analysis.

Qualifications

• Strong skills in data collection, analysis, and interpretation
• Chinese speaking, writing and reading
• Experience with data visualization tools and report generation
• Proficiency in statistical analysis and data modeling techniques
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills
• Knowledge of SQL, Python, R, or other data analysis software is a plus
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• Ability to work on-site in Manama

Job Description

VAM Systems is currently looking for Data Analyst - Power BI 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)

• 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 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.

• Assist in the collection and aggregation of data from various sources.
• Perform data cleaning and pre-processing to ensure data accuracy and integrity.
• Conduct basic data analysis to identify trends, patterns, and anomalies.
• Generate reports and dashboards using business intelligence tools to visualize data insights.
• Support senior analysts in developing and maintaining key performance indicators (KPIs).
• Assist in the preparation of presentations summarizing analytical findings for stakeholders.
• Collaborate with different departments to understand their data needs and provide relevant insights.
• Learn and apply data analysis techniques and tools under guidance.
• Contribute to data quality checks and validation processes.
• Maintain documentation for data sources, methodologies, and reports.
• Participate in team meetings and contribute to discussions on data-related initiatives.
• Develop a foundational understanding of business processes and how data supports them.

• Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data manipulation and analysis.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of SQL for querying databases is desirable.
• Strong attention to detail and accuracy.
• Good analytical and problem-solving skills.
• Effective communication skills, both written and verbal.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Support the development and maintenance of business intelligence reports and dashboards.
• Collaborate with senior analysts to understand business requirements and translate them into data analysis needs.
• Assist in data validation and quality assurance processes.
• Help in the creation of data visualizations to present findings effectively.
• Contribute to ad-hoc data analysis requests from different departments.
• Learn and apply various data analysis techniques and tools.
• Support data integrity and accuracy initiatives.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Proficiency in data manipulation and analysis using tools such as Excel.
• Familiarity with SQL for database querying is a plus.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.