Data Analyst

• Gather, document, and validate business requirements for compliance and surveillance initiatives; translate regulatory needs into functional specifications
• Analyze large datasets to identify compliance risks, trends, and anomalies; develop dashboards and reports using SQL and Python
• Plan and manage end-to-end project delivery within scope, timeline, and budget; apply Agile/Scrum methodology for iterative development
• Utilize Jira for sprint planning and backlog management; maintain project documentation in Confluence
• Collaborate with data engineers and developers who design and implement solutions leveraging Databricks, Azure Data Factory, and Azure SQL Database
• Ensure data quality and integrity across compliance datasets; support ETL processes and testing
• Facilitate stakeholder communication across compliance, technology, and operations teams; manage risks and ensure adherence to governance standards
• Ability to adapt to evolving business dynamics, priorities, and managing stakeholder expectations as circumstances require, while ensuring effective delivery in fast-paced environments
• Ensures project delivery aligns with the organization’s strategic data landscape, supporting enterprise data governance and integration objectives

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