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