Data Quality Analyst

Job Description: 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: Expert knowledge of IDQ Developer, Analyst, Profiling, and Rule Specifications. • SQL: Advanced proficiency in writing complex queries, joins, and window functions. • Power BI: Intermediate skills good to have. • Databases: Strong experience working with Oracle, SQL Server, Teradata, or DB2. Domain & Architecture • Banking Domain: Familiarity with credit risk, retail banking operations, or financial reporting. • Data Warehousing: Solid understanding of ETL/ELT concepts, data lineage, and data lake architectures. Qualifications • Education: Bachelor’s degree in computer science, Information Systems, or a related technical field. • Experience: Overall 12Years+ with 3+ years of dedicated data quality engineering experience, specifically within financial services Show more Show less

Education: Bachelor’s degree in computer science, Information Systems, or a related technical field. Experience: Overall 12+ years with 3+ years of dedicated data quality engineering experience, specifically within financial services.

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.