New York State - Department of Financial Services
In this role, you will:
- 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 and recommend improvements to enhance data quality, accessibility, efficiency, and reliability
- Travel may be required up to 10%
- Other duties as assigned
Minimum Qualifications
Non-Competitive: Nine years of experience in data visualization, and statistical models and data mining tools and satisfactory completion of a two-year traineeship; OR six years of experience in data visualization, and statistical models and data mining tools.
Substitution: An associate's degree may substitute for two years of general experience; or a bachelor's degree may substitute for four years of general experience. A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may substitute for two years of general experience.