Data as a Service Analyst - Digital Banking

Key Responsibilities:

• Customer Data Quality Management:
• Analyze and assess data quality issues in customer records.
• Implement data cleansing, standardization, and deduplication strategies.
• Define and enforce data quality rules, policies, thresholds, and validation checks.
• Collaborate with business, product, customer support, and IT teams to resolve inconsistencies.
• Monitor and improve data quality metrics such as accuracy, completeness, and consistency.
• Standardize customer data formats across systems for golden record generation.
• Create data quality six sigma and monitoring dashboards.
• Formulate Data Remediation Strategies:
• Develop and implement frameworks for fixing data anomalies.
• Conduct root cause analysis to identify sources of poor data quality.
• Coordinate with internal stakeholders to drive data improvement initiatives.
• Implement automated data validation rules at source applications.
• Continuously refine data remediation strategies based on business needs and technological advancements.
• Data Mart Management & Continuous Improvement:
• Provide inputs and recommendations for improving policies, procedures, processes, and controls related to data marts.
• Quantify the business impact of data remediation and global/local data mart initiatives in terms of revenue, cost, or loss.