Note: The job is a remote job and is open to candidates in USA. First Citizens Bank is seeking a Senior Enterprise Data Analyst to lead enterprise-wide data initiatives focused on Master Data Management, Reference Data, and Customer 360. The role defines data strategy, product roadmaps, use cases, governance frameworks, and scalable solutions while improving data quality, analytics, documentation, and cross-functional data management capabilities.
Responsibilities
- Data Enhancement - Leads the implementation of 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 and assists management with special data projects
- 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. May assist in training or mentoring less experienced consultants in the work group
- Business Strategy - Facilitates strategies that develop the Bank’s data management capabilities. Assists management in creating and implementing a strategic road to achieve planned objectives. Works cross-functionally to mature department presence within Bank business units. 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. Identifies and creates centralized business critical reports
Skills
- Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes
- Knowledge of data spreadsheets and databases
- Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs
- Ability to write SAS programming language
- Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
- 15+ years of experience in Business Analysis, Data Management, or MDM
- Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation
- Proven background in the Banking or Financial Services domain
- Required: MDM platforms such as Informatica, Reltio, or IBM MDM
- Strong SQL proficiency (required)
- Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage
- Snowflake (data warehousing and cloud data platform) — nice to have
- Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management
- Experience in supporting or building enterprise data warehouses
- Experience with Customer 360 analytics and reporting
- Banking, Financial Services, or enterprise domain experience (preferred)
- Familiarity with customer data domains: Party, Address, Contact, and Hierarchy
- Knowledge of KYC and Compliance frameworks (preferred)
- Strong stakeholder engagement and relationship management
- Excellent communication and documentation abilities
- Ability to drive enterprise-scale initiatives independently
- Experience with enterprise data transformation programs
- Exposure to cloud ecosystems such as Azure or AWS
Benefits
- For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
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