Enterprise Data Consultant
3 weeks ago
Overview:
This position supports initiatives within the Bank that improve enterprise data quality, governance, and analytics. Drives positive change across the Bank through technical innovation and continuous improvement initiatives. Creates and maintains technical documentation related to enterprise data. Provides expert consultation to team members, the Information Technology department, and other stakeholders on tactics that achieve data management goals.
Responsibilities:- Data Enhancement - Identifies and implements enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics where appropriate.
- Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use.
- Business Tactics - Facilitates initiatives that develop the Bank's data management capabilities. Assists management in creating and implementing business plans to achieve planned objectives. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
- Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials.
- Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar
Preferred experience and education:
- Education: Advanced degree
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Preferred experience: 5-10 years of financial services experience supporting data quality efforts for credit or loan administration
- Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
- Knowledge of data spreadsheets and databases,
- Familiarity and knowledge of customizable workflow solution such as JIRA
- Familiarity and knowledge of data intelligence platform for data classification, data governance and data quality such as Collibra
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