2 480 Data Roles 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)

• Assist in collecting and cleaning data from various sources.
• Perform data validation and ensure data accuracy.
• Conduct descriptive statistical analysis of datasets.
• Generate reports and dashboards to visualize key metrics and trends.
• Support senior analysts in identifying patterns and insights within data.
• Assist in maintaining and organizing data repositories.
• Help prepare presentations summarizing data findings.
• Respond to data-related queries from different departments.
• Learn and apply new data analysis techniques and tools.
• Contribute to improving data collection and reporting processes.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of statistical principles and data analysis techniques.
• Proficiency in Microsoft Excel (formulas, pivot tables, charts).
• Familiarity with SQL for querying databases is a plus.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and develop skills in data analytics.

• Assist in the collection, organization, and analysis of large datasets.
• Perform data cleaning and pre-processing to ensure data accuracy and integrity.
• Develop and generate reports, dashboards, and visualizations to present findings.
• Support senior analysts in the development of predictive models.
• Identify trends, patterns, and anomalies in data.
• Respond to ad-hoc data requests from various departments.
• Contribute to the continuous improvement of data analysis processes and tools.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in SQL for data querying and manipulation.
• Familiarity with data analysis and visualization tools (e.g., Excel, Tableau, Power BI).
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new technologies.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and pre-processing to ensure accuracy and consistency.
• Conduct exploratory data analysis (EDA) to identify trends and patterns.
• Develop reports and visualizations to communicate findings to stakeholders.
• Support senior analysts in developing predictive models and analytical solutions.
• Learn and utilize various data analysis tools and software (e.g., Python, R, SQL, Excel).
• Collaborate with team members on data-related projects.
• Contribute to the documentation of data sources, methodologies, and results.
• Assist in testing and validating analytical outputs.
• Stay updated on emerging trends and techniques in data analytics.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and analytical methods.
• Proficiency in data manipulation and analysis using tools like Excel, SQL, Python, or R is a strong advantage.
• Excellent attention to detail and ability to work with large datasets.
• Good problem-solving skills and a logical approach.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a team in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and strong work ethic.
• Previous internship or project experience in data analysis is a plus.

• Assist in the collection, organization, and cleaning of data from various sources.
• Perform data analysis using statistical methods and data visualization tools to identify trends, patterns, and anomalies.
• Develop reports and dashboards to present data findings in a clear and understandable manner.
• Collaborate with senior analysts and cross-functional teams to understand data needs and project requirements.
• Support the development and implementation of data models and algorithms.
• Contribute to the identification of key performance indicators (KPIs) and metrics for business performance.
• Assist in the testing and validation of data processes and outputs.
• Learn and apply new data analysis techniques, tools, and technologies.
• Maintain documentation for data processes and analytical methodologies.
• Participate in team meetings and contribute ideas for improving data analysis capabilities.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Ability to communicate findings clearly and concisely, both verbally and in writing.
• Proactive attitude and eagerness to learn and take on new challenges.
• Ability to work effectively in a remote team environment and manage time independently.
• Strong organizational skills.