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Data Integrity Analyst Jobs in Virginia (NOW HIRING)

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

We are a decentralized protocol committed to the radical transparency of market data. In an ... As a Market Integrity Analyst , you will be the lead investigator and architect of our surveillance ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

... data integrity across business processes. Responsibilities • Support Business Data Owners and ... analytical and problem-solving skills for identifying metadata gaps and inconsistencies • ...

The analyst partners with Business Data Owners, Data Stewards, and technical stakeholders to ensure ... Attention to detail and commitment to data accuracy and integrity * Adaptability in a changing ...

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

Support conversion of legacy systems, including defining ETL specifications and ensuring data integrity * Analyze operational and business data sets to detect quality issues, reconcile ...

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Data Integrity Analyst information

See Virginia salary details

$20

$48

$70

How much do data integrity analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data integrity analyst in Virginia is $48.02, according to ZipRecruiter salary data. Most workers in this role earn between $34.33 and $59.81 per hour, depending on experience, location, and employer.

What Does a Data Integrity Analyst Do?

Data integrity analysts manage the security of their company’s data. As a data integrity analyst, you monitor access to information, ensuring that files are only viewed by those authorized to utilize them and that the data is used properly. You also regularly check that the firewall and security systems at the company are up-to-date and still effective in preventing security breaches. Data integrity analysts may work in an office or technical center and must be willing to hold employees accountable for any infractions against data policy.

How does a Data Integrity Analyst typically collaborate with other teams within an organization?

Data Integrity Analysts often work closely with IT, data engineering, and business operations teams to ensure that data remains accurate, consistent, and secure throughout its lifecycle. They participate in regular meetings to discuss data quality issues, share findings from audits, and recommend process improvements. Effective communication skills are essential, as analysts frequently translate technical data integrity concepts for non-technical stakeholders and help implement best practices across departments.

What is a Data Integrity Analyst?

A Data Integrity Analyst is a professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They monitor data quality, identify and resolve inconsistencies or errors, and implement processes to maintain high data standards. Data Integrity Analysts often work closely with IT, data management, and business teams to develop and enforce data governance policies. Their role is essential for organizations that rely on accurate data for decision-making, compliance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a Data Integrity Analyst, and why are they important?

To thrive as a Data Integrity Analyst, you need strong analytical abilities, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Proficiency with database management systems (such as SQL), data quality tools, and knowledge of data governance frameworks is typically required. Strong problem-solving, communication, and organizational skills help analysts effectively identify and resolve data discrepancies. These skills ensure the reliability and accuracy of data, which is critical for informed decision-making and maintaining regulatory compliance.

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

AspectData Integrity AnalystData Quality Analyst
CertificationsCertified Data Management Professional (CDMP), Data Management certificationsData Quality certifications, Data Management certifications
Work EnvironmentIT departments, data warehouses, compliance teamsBusiness units, analytics teams, data governance
Employer & Industry UsageFinance, healthcare, technologyRetail, marketing, finance

Both roles focus on data accuracy and reliability but differ in scope. Data Integrity Analysts primarily ensure data remains accurate, consistent, and secure across systems. Data Quality Analysts focus on assessing and improving data quality metrics to support business decisions. While overlapping, their specific responsibilities and environments distinguish them.

What are popular job titles related to Data Integrity Analyst jobs in VA? For Data Integrity Analyst jobs in VA, the most frequently searched job titles are:
Infographic showing various Data Integrity Analyst job openings in Virginia as of July 2026, with employment types broken down into 82% Full Time, 2% Temporary, and 16% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $99,876 per year, or $48 per hour.
Metadata Analyst

Metadata Analyst

System One

Merrifield, VA • On-site

Contractor

Re-posted 5 days ago


Job description

Job Title: Metadata Analyst Location: Vienna, VA Work schedule: hybrid, 3 days onsite Pay Rate: Open to Both W2 and established 1099's Position Type: Multiyear Contract We are looking for candidates with 5-10 years of Data Governance or Metadata Management experience, hands-on experience with a metadata platform such as Alation, experience maintaining business glossaries, data catalogs, data dictionaries, and lineage documentation, and a proven ability to work with both business and technical stakeholders to improve enterprise data governance and data quality. The Metadata Management Analyst is a Data Governance professional responsible for improving data quality, transparency, consistency, and governance across the Lending organization. The role serves as a bridge between business and technical teams, ensuring that critical data assets are properly defined, cataloged, documented, governed, and traceable throughout their lifecycle. This position supports enterprise metadata management by maintaining business glossaries, data dictionaries, data catalogs, and data lineage documentation. The analyst works closely with Business Data Owners, Data Stewards, and Technology teams to establish common business definitions, improve data literacy, and ensure data assets align with enterprise governance standards. The ideal candidate combines data governance expertise, metadata management experience, business analysis skills, documentation capabilities, stakeholder management, and strong communication skills. Basic Description The Metadata Management Analyst supports the Lending Data Governance function in advancing enterprise data governance capabilities and improving data quality, transparency, and risk management. This role operates within Lending Strategy’s Data Governance team and is responsible for enabling the adoption and management of metadata practices across the business. The analyst partners with Business Data Owners, Data Stewards, and technical stakeholders to ensure metadata is captured, maintained, and aligned with enterprise standards. The position plays a key role in supporting the organization's transition to a data-centric organization by promoting consistent definitions, improving data literacy, and ensuring data integrity across business processes. Responsibilities • Support Business Data Owners and Data Stewards in identifying and cataloging data assets • Engage business stakeholders to ensure metadata is captured, tagged, and maintained accurately • Maintain metadata artifacts, identify gaps or inconsistencies, and escalate issues as needed • Collaborate with Business and Technical Data Stewards to define clear and consistent business terminology • Gather and document business and technical requirements related to metadata and data lineage • Own and support metadata governance processes for both new initiatives and enhancement efforts • Curate and enrich business glossary content to ensure consistent enterprise-wide definitions • Partner with ISD and technical teams to support metadata tools through implementation and production • Support creation and maintenance of data dictionaries and data catalog entries • Assist in planning, testing, and implementing improvements to metadata tools, including bug fixes and enhancements • Drive improvements in metadata classification, evaluation, and data movement processes • Support the documentation and visualization of data lineage across systems and processes • Enable visibility of data flows between producers and consumers to support decision-making • Maintain metadata-related controls to ensure data is consumable, prioritized appropriately, and aligned to systems of record • Support communication and publication of data glossary updates across the business Qualifications and Soft Skill Requirements Required Qualifications • Experience in data governance, metadata management, or data management within a financial services or enterprise environment • Demonstrated experience working with business and technical stakeholders to define and document data assets • Experience with data catalogs, data dictionaries, and metadata tools • Understanding of data lineage concepts and data lifecycle management • Familiarity with governance frameworks and enterprise data standards Soft Skill Requirements • Strong communication skills, ability to translate technical concepts into business-friendly language • Collaboration across Business Data Owners, Business Data Stewards, and Technical Data Stewards • Strong analytical and problem-solving skills for identifying metadata gaps and inconsistencies • Attention to detail and commitment to data accuracy and integrity • Adaptability in a changing governance and technology environment • Ability to drive alignment across multiple stakeholder groups Desired Skills • Experience supporting enterprise data governance initiatives or EDG programs • Familiarity with metadata tooling platforms (e.g., Alation or similar tools) • Experience supporting data lineage visualization and documentation • Knowledge of data classification frameworks and taxonomy design • Experience working with ISD or technology teams on data-related tooling implementations • Exposure to financial services data, lending data domains, or regulatory data requirements • Experience contributing to business glossary development and enterprise data standards Ref: #851-Rockville-S1