Credit Data Assurance Analyst (Remote)

First Citizens Bank•Raleigh, NC

14h•Remote

About The Position

This remote role is hired in the Eastern Time Zone in the United States. The Credit Data Assurance Analyst serves as a strategic partner across Credit, Reporting, Data, Product, and Technology organizations, assessing how business, data, process, and system changes affect Credit Reporting and downstream reporting deliverables. The role performs complex business and data impact assessments; translates business requirements into actionable data use cases; leads data triage and root cause analysis; and drives improvements in data quality, data lineage transparency, and reporting readiness. The analyst proactively identifies and mitigates reporting and data risks and independently leads strategic initiatives while influencing senior stakeholders. The position requires a bachelor's degree and four years of experience, or a high school diploma or GED/equivalent and eight years of experience, in Analytics, Modeling, or Reporting. The base pay is generally $95,000–$115,000. Total compensation for some roles may also include variable incentives, bonuses, benefits, and/or other awards.

Requirements

Bachelor's degree and 4 years' experience, or High School Diploma or GED/Equivalent and 8 years' experience in Analytics, Modeling, or Reporting.
Commercial Banking or Lending Operations experience.
Data quality management and data lineage knowledge.
Cross-functional partnership and collaboration skills.
Data analysis skills.
Analytical thinking.
Risk identification and mitigation skills.

Nice To Haves

Experience assessing the impact of data, process, system, or business changes on reporting and regulatory deliverables.
Strong understanding of commercial lending, credit products, and the end-to-end credit lifecycle.
Experience with data lineage, data governance, data quality, and controls frameworks.
Advanced SQL skills and experience analyzing large, complex datasets.
Experience performing root cause analysis and leading issue remediation efforts.
Knowledge of regulatory reporting, reporting controls, or enterprise risk management practices.
Experience working across Credit, Technology, Data, and Reporting organizations.
Ability to influence senior leaders and drive outcomes across multiple stakeholder groups.
Experience supporting large-scale data transformation, modernization, or credit data initiatives.

Responsibilities

Perform portfolio-level impact assessments to identify reporting, data, and operational risks before implementation.
Partner with business stakeholders to ensure reporting requirements are understood and incorporated into change initiatives.
Translate business requirements into credit data use cases and actionable requirements for Product, Technology, and Data teams.
Develop business process maps, data flow documentation, and reporting requirements to support strategic initiatives.
Act as a liaison between business users and technical teams to support alignment and successful delivery.
Analyze credit and reporting data to identify trends, anomalies, risks, and opportunities for improvement.
Improve transparency into data quality, data lineage, controls, and reporting readiness across the Credit Reporting ecosystem.
Support processes that enhance data reliability and confidence in data consumption.
Lead data triage, root cause analysis, and issue prioritization across stakeholder groups.
Coordinate resolution of data quality, reporting, and operational issues with business, technology, and data teams.
Escalate and communicate material risks and issues to senior stakeholders as appropriate.
Identify, assess, and mitigate reporting and data risks before they affect downstream consumers or regulatory deliverables.
Evaluate control effectiveness and recommend improvements to reporting accuracy, completeness, and timeliness.
Support governance and risk management activities related to Credit Reporting and data management.
Lead cross-functional initiatives involving Credit, Reporting, Technology, Product, and Data organizations.
Translate complex credit concepts into measurable business and data impacts to influence decision-making.
Advise senior stakeholders on Credit Reporting, data risk, and reporting readiness.