1 399 Data Analyst jobs in Bahrain

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 organizing data from various sources.
• Perform data cleaning and pre-processing to ensure accuracy and consistency.
• Conduct basic data analysis to identify trends, patterns, and insights.
• Create reports and visualizations (charts, graphs) to present findings.
• Support senior analysts in ad-hoc data requests and projects.
• Learn and apply data analysis tools and techniques.
• Document data sources, methodologies, and findings.
• Collaborate with team members to understand data requirements and project goals.
• Assist in maintaining databases and data integrity.
• Contribute to team meetings and provide updates on assigned tasks.

• Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis concepts and principles.
• Familiarity with spreadsheet software such as Microsoft Excel.
• Some exposure to programming languages like Python or R is a plus.
• Strong attention to detail and accuracy.
• Good analytical and problem-solving skills.
• Ability to learn quickly and adapt to new tools and technologies.
• Effective written and verbal communication skills.
• Team player with a willingness to contribute and collaborate.
• Eagerness to develop a career in data analytics.

• Assist in data collection, cleaning, and preparation from various sources.
• Perform basic data analysis and generate reports.
• Create data visualizations to illustrate key findings.
• Support senior analysts with ongoing data projects.
• Ensure data accuracy, integrity, and consistency.
• Learn and apply various data analysis tools and techniques.
• Contribute to team meetings and discussions.
• Document data processes and methodologies.
• Assist in the development of dashboards and metrics.
• Gain practical experience in a data-driven environment.

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with data manipulation and analysis tools (e.g., Excel, SQL basics, Python/R basics).
• Strong analytical and problem-solving skills.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiastic learner with a passion for data.

• Collect, clean, and organize data from various sources.
• Perform preliminary data analysis to identify trends, patterns, and anomalies.
• Assist in the development and maintenance of dashboards and reports using tools like Tableau or Power BI.
• Support senior analysts in deeper analytical projects.
• Document data processes and findings clearly and concisely.
• Participate in team meetings and contribute to brainstorming sessions for data-driven solutions.
• Ensure data accuracy and integrity throughout all processes.
• Stay updated with the latest trends and technologies in data analytics.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with at least one data visualization tool (e.g., Tableau, Power BI, Qlik Sense).
• Basic understanding of statistical concepts and analytical methods.
• Excellent problem-solving skills and a keen eye for detail.
• Strong communication and interpersonal skills, with the ability to explain technical findings to non-technical stakeholders.
• Ability to work independently and collaboratively in a remote environment.
• Proactive attitude and a willingness to learn and grow.

• Assist in the collection and organization of data from various sources.
• Perform data cleaning and validation to ensure data accuracy and integrity.
• Conduct preliminary data analysis to identify trends, patterns, and anomalies.
• Support the development of reports, visualizations, and dashboards using tools like Excel, SQL, and potentially BI software.
• Collaborate with team members to understand data needs and deliver actionable insights.
• Help in documenting data processes, methodologies, and findings.
• Participate in team meetings and contribute to analytical discussions.
• Learn and apply new analytical techniques and tools.
• Ensure data privacy and security protocols are followed.
• Assist in ad-hoc data requests from different business units.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel, including advanced formulas and functions.
• Basic knowledge of SQL for data extraction and manipulation is a plus.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Good communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Ability to work effectively both independently and as part of a team.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Prior internship or project experience in data analysis is a plus.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop data visualizations (charts, graphs, dashboards) to communicate findings effectively.
• Support senior analysts in developing reports and presentations for business stakeholders.
• Learn and apply statistical methods and data modeling techniques.
• Collaborate with cross-functional teams to understand data requirements and provide analytical support.
• Contribute to the development of data quality standards and documentation.
• Assist in testing and validating data models and analytical outputs.
• Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Excel, Tableau).
• Participate in team meetings and training sessions to enhance technical and analytical skills.