51 Data Quality jobs in Bahrain

VAM Systems

is a Business Consulting, IT Solutions and Services company.

VAM Systems

is 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)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading
Banks
in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest

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

VAM Systems is currently looking for Data Quality and MDM specialist for our Bahrain operations with the following skillsets & terms and conditions:

Skilled and competent with the following:

• 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

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems
is currently looking for
Data Quality and MDM specialist
for our
Bahrain
operations with the following skillsets & terms and conditions:

Skilled and competent with the following:

• 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

Terms and conditions
Joining time frame: days)

• Assist senior analysts in collecting, cleaning, and processing large datasets.
• Perform basic data analysis and generate reports using analytical software.
• Identify trends, patterns, and insights within data to support business objectives.
• Create visualizations and dashboards to present findings effectively.
• Participate in team meetings and contribute to project discussions.
• Learn and apply various data analysis methodologies and tools.
• Assist in developing documentation for data processes and analytical models.
• Support the testing and validation of data solutions.
• Gain exposure to different business functions and understand their data needs.
• Contribute to ad-hoc data analysis requests as needed.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Basic understanding of data analysis concepts and statistical principles.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team and adapt to a hybrid work environment.
• Eagerness to learn and develop new skills in data analysis.
• Strong attention to detail and accuracy.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards to visualize key insights.
• Support senior analysts in statistical modeling and hypothesis testing.
• Learn and apply various data analysis tools and techniques, including SQL, Python/R, and BI tools.
• Document methodologies, findings, and results clearly and concisely.
• Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
• Contribute to ad-hoc data analysis requests as needed.
• Continuously learn and develop new skills in data science and 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 principles.
• Familiarity with programming languages like Python or R is a significant advantage.
• Basic knowledge of SQL for data extraction and manipulation.
• Proficiency in Microsoft Excel for data analysis.
• Excellent attention to detail and a methodical approach to problem-solving.
• Strong written and verbal communication skills, suitable for a remote work environment.
• Eagerness to learn and a proactive attitude towards skill development.
• Ability to work independently and manage time effectively in a remote setting.
• Passion for data and a desire to build a career in data analysis.