Data Analyst 3, SG-27

About the role

The New York State Department of Financial Services seeks to build an equitable, transparent, and resilient financial system that benefits individuals and supports business. Through engagement, data-driven regulation and policy, and operational excellence, the Department and its employees are responsible for empowering consumers and protecting them from financial harm; ensuring the health of the entities we regulate; driving economic growth in New York through responsible innovation; and preserving the stability of the global financial system.

Responsibilities

• Works with cross-functional teams to support and deliver complex analytical projects, develop data-driven solutions, and solve business problems;
• Oversees the development of informational materials, technical documentation, data definitions, and supporting documentation related to analytics solutions;
• Provides data solutions, tools, and capabilities that enable self-service analytics frameworks and empower data consumers to access and utilize trusted data;
• Develops and implements methods, standards, and procedures to produce accurate, consistent, and efficient data analysis;
• Cleans, transforms, integrates, and manages large datasets from multiple sources while ensuring data accuracy, integrity, completeness, and reliability;
• Supervises, mentors, and provides technical guidance and direction to a team of Data Analysts;
• Reviews data sources and evaluate datasets prepared by staff to ensure accuracy, completeness, consistency, and alignment with business requirements;
• Partners with the Data Warehouse team to define and validate source-to-target data mappings, transformation rules, and business requirements to ensure reporting solutions meet customer needs;
• Develops and implements data migration strategies, including source-to-target mapping, data transformation, validation, reconciliation, quality assurance, and post-migration verification;
• Works with the Data Architect to develop data strategies, architectural direction, and analytical capabilities aligned with the division’s strategic plan and enterprise data objectives;
• Collaborates with the Data Governance team, Data Stewards, Data Owners, and business partners to promote trusted data and maintain accuracy, consistency, standardization, and appropriate use of enterprise datasets;
• Supports data governance initiatives by contributing to data definitions, metadata, data lineage, data quality standards, and data stewardship practices;
• Evaluates existing data processes