2 478 Team Data jobs in Bahrain

Overview

We are pleased to announce an opening for a Data Engineer with strong expertise in the banking domain . This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.

• Recent banking domain experience
• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company’s goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Job Title: Data Engineer

Professional Training: SQL Development, SAS EG, SAS DI, Object-oriented Programming (e.g., C#, Java)

Experience: At least 3 years in relevant roles

We are seeking a Data Engineer with expertise in:

• Developing within databases, specifically Microsoft SQL Server and/or Oracle
• Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio
• SAS Information Maps, SAS BI, SAS Stored Processes, SAS Datasets & Libraries
• Configuring and installing applications on servers (Windows/Linux/Unix), with basic knowledge of DNS, Ports, and Firewalls
• Managing distributed systems and clusters for batch and streaming data (Hadoop/Spark, Kafka/Flink)
• Handling semi-structured data formats such as JSON and XML
• Programming in C# or Java
• Writing advanced SQL queries, stored procedures, and functions
• Experience with ETL tools like SAS DI, SAS Enterprise Guide, and Microsoft SQL Server
• Understanding of financial reporting (Balance Sheet, Profit and Loss) and risk reporting

• Consolidate and analyze financial data, including budgets, forecasts, and statements
• Build stored procedures and ETL jobs for data reconciliation
• Contribute to data warehouse design and database solutions
• Develop SQL Server T-SQL procedures/functions for batch processing and reporting
• Create SAS EG and SAS DI jobs
• Research and resolve financial data discrepancies, manage month-end closing processes
• Solve complex problems, perform testing and troubleshooting

• Regulatory compliance
• ETL/ETT/ETM tools and processes
• Data warehouses and marts
• Financial data modeling and analysis

Technology Tools: SAS, SAS BI, MS SQL Server, T-SQL

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Overview

We are seeking an essayist to compose articles related to weight reduction.

• Write 10 articles focused on weight reduction, each around 1000 words.
• Ensure understanding of the item and/or supplement prior to writing.

• Experience as a quality substance essayist or similar writing role.
• Ability to think critically and produce clear, well-structured content.

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

Job Description

We are currently looking for Data Quality / Data Governance specialist for our Bahrain operations with the following skillsets & terms and conditions:

Education

• Minimum bachelor's degree in engineering, MSC in Data & Analytics, or relevant discipline.

Experience

• Minimum of 5-year experience in banking or financial services.

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

• Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.
• Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.
• Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.
• Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.
• Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.
• Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.
• Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.
• Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management

Terms and conditions

Joining time frame: days)

Job Description
Location: Bahrain / India
Reports To:
Role Summary:
We are seeking a highly organized and detail-oriented Data Manager to act as the single source of truth for all data across the organization. This role is responsible for managing the flow, quality, and integrity of data across all functions, ensuring it is accurate, consistent, and delivered in the required formats. The Data Manager will play a key role in supporting finance, operations, underwriting and commercial teams by maintaining a robust data infrastructure. They will be responsible for leading data strategy, governance, and operations to ensure the accuracy, accessibility, and security of data across the company.
Key Responsibilities:
Centralized Data Ownership
Serve as the sole point of accountability for all data used across functions including underwriting, finance, operations, and commercial teams.
Maintain up-to-date, accurate, and validated data sets that serve as the foundation for decision-making across the business.
Ensure all data inputs follow consistent formats and naming conventions aligned with internal systems and reporting requirements.
Partner & Stakeholder Coordination
Work closely with internal teams and external partners to ensure timely and accurate data delivery in the required format and structure.
Proactively follow up with partners when data is missing, delayed, or submitted incorrectly.
Monitor recurring issues in data submissions and implement corrective action plans in collaboration with stakeholders.
Data Operations & Governance
Oversee the collection, storage, integration, and maintenance of large data sets across insurance and assistance portfolios.
Identify and resolve data quality issues, including mismatches, missing values, and formatting errors.
Define and Implement data governance frameworks and policies
Enforce data governance practices to ensure compliance with internal standards and regulatory frameworks.
Ensure compliance with data protection regulations (e.g., GDPR, local regulations).
Establish and maintain data quality standards and KPIs.
Manage data integration from multiple systems (e.g., CRM, claims management, finance).
Own data dictionaries, metadata repositories, and data lineage documentation.
Reporting & Insight Generation
Support actuarial, underwriting, and finance teams with clean and validated data sets for reporting, analysis, and premium bookings.
Deliver regular reports to management and respond to ad-hoc data requests from internal stakeholders and partners.
Monitor KPIs related to partner data sharing and quality
Collaborate with BI, actuarial, and finance teams to develop dashboards, KPIs, and portfolio performance reports.
Collaboration & Stakeholder Management
Work with IT, operations, finance, and commercial teams to understand and fulfill data needs.
Coordinate with global teams for group-level data initiatives or reporting alignment.
Continuous Improvement
Identify process gaps in data flows and recommend improvements to enhance efficiency and accuracy.
Support system enhancements and integrations to automate data uploads, validations, and reporting workflows

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)

Job Summary:

We are seeking an accurate and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for inputting and maintaining accurate data in the system, ensuring smooth operations in the supermarket. This role requires proficiency in both English and Arabic to ensure communication with diverse teams and customers.

Key Responsibilities:

• Data Entry & Updates: Accurately input and update inventory, sales, and customer data in the system.
• Invoice & Record Management: Record and verify purchase invoices and receipts; maintain accurate filing systems.
• Inventory Tracking: Assist with tracking stock levels and entering related data.
• Customer & Supplier Records: Maintain and update customer and supplier information.
• Document Filing: Prepare, organize, and file operational documents, both digitally and physically.
• Support & Communication: Communicate with teams to gather and verify data, providing support as needed.
• Confidentiality: Ensure sensitive data is kept secure and compliant with company policies.
• Quality Assurance: Regularly check data for accuracy and consistency.

Experience

Previous data entry, administrative, or office experience preferred, but not required. Freshers are welcome to apply

• Proficiency in English and Arabic (both spoken and written).
• Strong knowledge of Microsoft Office (Excel, Word) and Google Sheets; familiarity with inventory management systems is a plus.

Job Type: Full-time

We are pleased to announce an opening for a
Data Engineer
with strong expertise in the
banking domain
. This role requires a professional who can effectively manage financial data, contribute to data warehouse initiatives, and ensure accuracy in reporting and reconciliation processes.

Requirements and responsibilities:

• Recent banking domain experience
• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company's goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.