Data Analyst – Banking Data Ingestion & Reconciliation

Key Responsibilities

• Perform detailed data profiling, validation, and reconciliation of source data loaded into the Bronze layer.
• Validate source-to-Bronze ingestion for completeness, accuracy, consistency, and integrity.
• Develop and execute reconciliation checks covering record counts, balances, control totals, field-level comparisons, duplicates, null values, data types, and business-rule validations.
• Investigate and analyze data discrepancies between source systems and the target data platform.
• Identify root causes of data quality and reconciliation issues and work with data engineering and source-system teams to resolve them.

Required Experience

• 6 years of experience in data analysis within the banking or financial services industry.
• Demonstrated hands-on experience in data profiling and source-to-target reconciliation, particularly for source-to-Bronze or similar raw data ingestion layers.

• Degree in Computer Science, Information Systems, Data Analytics, Finance, Accounting, Engineering, or a related discipline. Experience working on large-scale banking data transformation, modernization, or data platform programs. Exposure to data governance, data quality frameworks, financial controls, or regulatory reporting environments. Understanding of medallion architecture.