The Data Analyst Senior is responsible for the assessment, improvement and governance of quality and ongoing fitness-for-purpose of data, ensuring adequate data quality is maintained so that data can effectively support business processes.
Requirements
- Hands-on experience with data quality tools, SQL, and reporting platforms such as Power BI, Tableau, SAS, or Python.
- Familiarity with Moody's ImpairmentStudio, Oracle/SQL Server, or other core banking data systems.
- Demonstrated success in developing and maintaining data quality dashboards, performance metrics, and automation solutions.
Responsibilities
- Implements tools and processes to maintain firm-wide data standards.
- Provides business process, system support and data quality governance for master data through data coordination and integration to ensure efficient processes and consistent data flows to business and stakeholders.
- Develops reports and dashboards to identify key business metrics, trends and analytical needs, and optimizes dashboard reporting for operations and management to enable data driven decision making.
- Identifies and implements process improvements in relation to master data processes.
- Reviews and evaluates master data management metrics, develops recommendations regarding opportunities for strengthening data integrity, quality and availability across the enterprise.
- Assesses the current state of data quality and recommends optimal approaches for resolving data quality issues.
- Identifies data quality metrics and executes data quality audits.
Other
- 3+ years of experience in data management, data governance, or financial analytics within a banking or financial institution.
- Strong analytical, problem-solving, and data interpretation skills with a high level of attention to detail.
- Excellent communication and collaboration skills, with the ability to translate complex business needs into actionable data insights.
- 5+ years of experience in banking data governance or credit risk/ACL modeling, with exposure to CECL processes or regulatory reporting.
- Strong business acumen with the ability to connect data quality improvements to measurable financial and operational outcomes.
