1 218 Gis 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 data quality and accuracy.
• Support the analysis of datasets to identify trends, patterns, and insights.
• Create data visualizations (charts, graphs) to effectively communicate findings.
• Help prepare reports and presentations on data analysis results.
• Collaborate with team members on data-related projects.
• Learn and apply various data analysis tools and techniques.
• Contribute to maintaining databases and data integrity.
• Participate in team meetings and brainstorming sessions.
• Support ad-hoc data requests as needed.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel).
• Enthusiasm for learning and working with data.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to work both independently and collaboratively.
• Basic programming skills (e.g., Python, R) are a plus.
• Interest in data visualization tools (e.g., Tableau, Power BI) is a plus.
• Proactive attitude and eagerness to contribute.

• Assist in collecting, cleaning, and organizing large datasets.
• Perform data validation and ensure data integrity.
• Develop and run SQL queries to extract and manipulate data.
• Create reports and dashboards using data visualization tools (e.g., Tableau, Power BI).
• Identify trends, patterns, and anomalies in data.
• Support senior analysts in developing insights and recommendations.
• Assist with ad-hoc data analysis requests.
• Document data sources, methodologies, and findings.
• Contribute to the improvement of data collection and reporting processes.
• Collaborate with cross-functional teams to understand their data needs.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 0-3 years of experience in data analysis or a related role.
• Proficiency in SQL for data querying and manipulation.
• Strong understanding of statistical concepts and methods.
• Experience with spreadsheet software such as Microsoft Excel (pivot tables, VLOOKUPs).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection and cleaning of data from various sources.
• Perform basic statistical analysis to identify trends and patterns.
• Contribute to the creation of reports and visualizations.
• Support senior analysts in data modeling and interpretation.
• Maintain data integrity and accuracy.
• Collaborate with team members through virtual channels.
• Learn and apply new data analysis techniques and tools.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical principles and data analysis methodologies.
• Proficiency in at least one data analysis tool (e.g., Excel, SQL, Python, R).
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A keen eye for detail and a passion for uncovering insights from data.

• Assisting in the collection, cleaning, and preparation of data from various sources.
• Performing basic statistical analysis and identifying trends.
• Creating clear and concise reports and visualizations to communicate findings.
• Supporting senior analysts in ad-hoc data requests and projects.
• Maintaining data integrity and accuracy.
• Learning and applying new data analysis tools and techniques.
• Collaborating with team members in a remote setting.