Data Quality Analyst
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Key skills for this role
About the Role
LTM is seeking a Data Quality Analyst with 12+ years overall experience and 3+ years in data quality engineering within financial services. The role involves profiling banking datasets, developing data quality rules using Informatica IDQ, and aligning controls with regulatory frameworks like BCBS 239 and AML.
Key Skills for This Role
Responsibilities
- Profile large scale banking datasets to identify anomalies, patterns, duplicates, and data gaps
- Analyze source data structures across core banking, transactional, and risk systems
- Define data quality metrics and thresholds in alignment with business requirements
- Develop reusable data quality rules, mappings, and workflows using Informatica IDQ Developer
- Design automated parsing, standardization, validation, and exception handling routines
- Deploy data quality scorecards and dashboards within the Informatica Analyst tool
- Align data quality controls with banking frameworks such as BCBS 239, Basel III, AML, and KYC
- Partner with Data Governance teams to maintain data lineage and update the corporate data glossary
- Investigate data quality issues at the root cause by collaborating with upstream application owners
Requirements
- Bachelor's degree in computer science, Information Systems, or related technical field
- 12+ years overall experience with 3+ years dedicated data quality engineering experience in financial services
- Expert knowledge of Informatica IDQ Developer, Analyst, Profiling, and Rule Specifications
- Advanced SQL proficiency
- Experience with Oracle, SQL Server, Teradata, or DB2
- Familiarity with credit risk, retail banking operations, or financial reporting
- Solid understanding of ETL/ELT concepts, data lineage, and data lake architectures
Full Job Posting
Job Description
- Data Quality Analyst role at LTM in Dubai, UAE.
Data Profiling & Analysis
- Profile large scale banking datasets to identify anomalies, patterns, duplicates, and data gaps.
- Analyze source data structures across core banking, transactional, and risk systems.
- Define data quality metrics and thresholds in alignment with business requirements.
Rule Development & Cleansing
- Develop reusable data quality rules, mappings, and workflows using Informatica IDQ Developer.
- Design automated parsing, standardization, validation, and exception handling routines.
- Deploy data quality scorecards and dashboards within the Informatica Analyst tool.
Governance & Regulatory Compliance
- Align data quality controls with banking frameworks such as BCBS 239, Basel III, AML, and KYC.
- Partner with Data Governance teams to maintain data lineage and update the corporate data glossary.
- Investigate data quality issues at the root cause by collaborating with upstream application owners.
Technical Skills
- Core Toolset: Informatica IDQ, SQL, Power BI, Oracle, SQL Server, Teradata, DB2.
- Domain & Architecture: Banking domain, credit risk, retail banking, financial reporting, ETL/ELT, data lineage, data lake architectures.
Qualifications
- Bachelor's degree in computer science, Information Systems, or related technical field.
- Overall 12+ years with 3+ years dedicated data quality engineering experience in financial services.
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