1

Data Quality Analyst Jobs in Raleigh, NC (NOW HIRING)

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

You will play a crucial role in ensuring the quality, integrity, and security of our data assets ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

You will play a crucial role in ensuring the quality, integrity, and security of our data assets ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

Suggest and implement modifications to data processes and systems to raise data quality and efficiency. What You Provide for Contribution? You have been outstanding in data analysis or in a related ...

You will play a crucial role in ensuring the quality, integrity, and security of our data assets ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

You will play a crucial role in ensuring the quality, integrity, and security of our data assets ... Strong analytical, communication, and problem-solving skills. Preferred Qualifications:

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Experience with data ingestion, cleansing, validation, and quality assurance processes. * Knowledge ... Strong analytical and problem-solving skills. * Experience creating automated reports ...

Showing results 21-40

Data Quality Analyst information

See Raleigh, NC salary details

$20

$47

$69

How much do data quality analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data quality analyst in Raleigh, NC is $47.08, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $58.65 per hour, depending on experience, location, and employer.

What is a data quality analyst?

Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They analyze data sets to identify errors, inconsistencies, or gaps and develop processes for improving data quality. Their work often involves monitoring data flows, creating data quality reports, and collaborating with teams to implement data governance standards. By maintaining high-quality data, they help organizations make informed decisions and meet regulatory requirements.

What are the key skills and qualifications needed to thrive as a data quality analyst, and why are they important?

A Data Quality Analyst requires strong analytical skills, attention to detail, and a background in data management or statistics, often supported by a relevant degree. Familiarity with data profiling tools, SQL, Excel, and data quality management systems, as well as certifications like CDMP, are typically needed. Excellent problem-solving abilities, communication skills, and a proactive mindset help analysts identify and resolve data issues effectively. These competencies ensure organizational data is accurate, reliable, and actionable, which is critical for informed decision-making.

What are some common challenges data quality analysts face when handling large datasets, and how can they be addressed?

Data Quality Analysts often encounter challenges such as inconsistent data formats, missing values, and duplicate records when working with large datasets. Addressing these issues requires a combination of automated data profiling tools, well-defined data governance procedures, and close collaboration with data engineers and business stakeholders. Regular communication and clear documentation help ensure data standards are maintained and issues are quickly identified and resolved, ultimately supporting more reliable business decision-making.

What is the difference between Data Quality Analyst vs Data Analyst?

AspectData Quality AnalystData Analyst
Primary FocusEnsuring data accuracy, completeness, and reliabilityAnalyzing data to identify trends and support decision-making
Skills & CertificationsData quality tools, SQL, data governance certificationsData visualization, statistical analysis, SQL
Work EnvironmentData governance teams, IT departmentsBusiness units, analytics teams
Industry UsageFinance, healthcare, retail, where data integrity is criticalMarketing, finance, operations, for insights and reporting

While both roles work with data, Data Quality Analysts focus on maintaining data integrity and quality standards, whereas Data Analysts interpret data to generate insights. Both roles often collaborate but serve different core functions within organizations.

What are the most commonly searched types of Data Quality Analyst jobs in Raleigh, NC?

The most popular types of Data Quality Analyst jobs in Raleigh, NC are:

What job categories do people searching Data Quality Analyst jobs in Raleigh, NC look for?

The top searched job categories for Data Quality Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Quality Analyst jobs?

Cities near Raleigh, NC with the most Data Quality Analyst job openings:

Infographic showing various Data Quality Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,922 per year, or $47.1 per hour.

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Re-posted 18 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview
This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office. Charlotte, NC; Raleigh, NC; Phoneix, AZ
This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.
This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.
Responsibilities
Data Enhancement & Analytics
  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse.
  • Executes initiatives for data profiling, issue resolution, and system fixes.
  • Partner with Regulatory Reporting teams and key stakeholders to elicit, analyze, document, and prioritize business requirements for regulatory reporting initiatives, including FR Y-14, FR Y-9C, CCAR, and Liquidity Reporting. Ensure requirements are aligned with regulatory expectations, business objectives, and data governance standards.
  • Data Quality & Governance - Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
  • Supports and delivers special data-focused initiatives aligned to business needs.

Business Support & Governance
  • Enforces enterprise data policies, standards, and governance practices.
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use.
  • Collaborates with stakeholders to identify gaps and improve data management processes.
  • Provides training, guidance, and mentorship to junior team members as needed.

Business Strategy & Stakeholder Collaboration
  • Supports the development and execution of enterprise data strategy and roadmap.
  • Works cross-functionally to strengthen data management capabilities across business units.
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management.
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery.

Documentation & Data Management
  • Creates and maintains technical documentation including:
  • Source-to-target mappings
  • Data dictionaries
  • Data lineage and governance artifacts
  • Develops and manages centralized, business-critical reporting assets.

Agile Delivery & Execution
  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives).
  • Ensures work is managed consistently through Agile frameworks and best practices.
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery.

Backlog Quality & Delivery Readiness
  • Establishes and enforces a Definition of Ready (DoR) for all backlog items.
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including:
    • Clear linkage to parent Jira issue types
    • Well-defined acceptance criteria
    • User test cases
    • Data mapping requirements
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards.

Outcome Focus
    • Delivers high-quality, reliable enterprise data solutions.
    • Improves data integrity, governance, and reporting accuracy.
    • Strengthens Agile delivery discipline and predictability.
    • Enables better business decision-making through trusted data and analytics.

Qualifications
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
Preferred Education: Advanced Degree License or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification
Preferred Skill(s): 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
#LI-XG1
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom