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: (15 - 30 days)