1

Data Quality Analyst Jobs in Virginia (NOW HIRING)

Data Quality Analyst (TS/SCI) * Reston, VA, USA * Full-time * Clearance: Top Secret/SCI Contribute to an effective enterprise data strategy, applying foundational knowledge of data management and ...

Data Quality Engineer

Arlington, VA · On-site

$77K - $176K/yr

Define and manage data quality analytics based on quality parameters. Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data ...

Define and manage data quality analytics based on quality parameters. Develop a strategic roadmap with clear milestones to guide the organization's transition to its desired future state for data ...

Provides data management and data quality expertise in support of the design, management, and entry of the DOW records. Conducts data quality analysis, validation, and verification. Assists in ...

Quality Analyst (Secret)

Falls Church, VA · On-site

$70K - $81K/yr

Required Experience : 2+ years of related quality/data analytic experience * Required Skills and Abilities : Excellent verbal, written communication and analytical skills * Attributes for Success:

Data Quality Engineer - VA

Norfolk, VA · On-site

$110K - $133K/yr

Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. Work on optimizing data architectures for improved data quality and performance. Utilize ...

Data Quality Engineer - VA

Norfolk, VA

$110K - $133K/yr

Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues. Work on optimizing data architectures for improved data quality and performance. Utilize ...

next page

Showing results 1-20

Data Quality Analyst information

See Virginia salary details

$20

$48

$70

How much do data quality analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data quality 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 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 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 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 Data Quality Analysts?

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 most commonly searched types of Data Quality Analyst jobs in Virginia? The most popular types of Data Quality Analyst jobs in Virginia are:
What cities in Virginia are hiring for Data Quality Analyst jobs? Cities in Virginia with the most Data Quality Analyst job openings:
What are popular job titles related to Data Quality Analyst jobs in VA? For Data Quality Analyst jobs in VA, the most frequently searched job titles are:
Infographic showing various Data Quality Analyst job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $99,876 per year, or $48 per hour.

Sr Data Quality Analyst

ICS Global Soft INC

Arlington, VA

Contractor

Re-posted 25 days ago


Job description

Position: Sr Data Quality Analyst
Location: Arlington, VA
Duration: 6-12 Months contract
Mode of Interview: Skype Video Call
Note: Must to have experience on Healthcare EDI and HIPAA mappings experience. Since this is for a Healthcare client wanted to get an updated profile too. Please update the profile and send us if you have worked on Medicare/Medicaid and EDI and HIPAA Mappings.
Job Description:
• Analyze and understand data sources and end-user requirements for loading healthcare data into enterprise data warehouse as it relates to eligibility, medical, pharmacy claims, as well as clinical and provider data.
• Develop and execute SQL/SAS data quality test cases, scripts and procedures to support the data quality metrics.
• Resolve data quality problems. Activities include: Identify, assess, fix, document, and communicate potential quality issues in the way data is collected, stored, processed, or used. This may involve interacting with business users to resolve data quality problems using techniques such as root cause analysis as well as collecting user requirements. Fixing the data problem may require the DQA to recommend, design, implement and monitor quality procedures for use in the data production process. It may also include data cleansing operations such as removing duplicate records.
• Manage data quality documentation. Activities include: Define and maintain data standards, definitions, and models (e.g. data dictionary, organizational data model. This may also include any DQA documents such as checklists, guidelines, manuals, templates, forms, etc.)
• Participate in cross-functional teams and development or improvement task forces. Assist other groups in database setup, design of edit checks, test plans, DQ policy decisions, etc. to ensure data quality objectives are met.
• Track defects to resolution
Qualifications:
Required
• Requires BS/BA degree, 5+ years quality assurance experience, which includes skills necessary to work with computer systems, knowledge of data manipulation tools and analysis techniques
• 3+ years of advanced SQL skills to write queries and view/test data in relational database
• 2+ years of experience in writing/executing test scripts in SAS.
• Experience in converting mapping documents and transformation requirements into a testing strategy, test cases and test data
• Experience creating SQL/SAS QA checks to test data integration and data transformation
• Knowledge of healthcare data and industry
• Must possess strong written and verbal communications skills to present findings and recommendations
• Should be detail oriented, have strong problem solving skills and understand benefits of data quality
Preferred
• Experience with ETL processes using ETL tool such as Informatica and SSIS
• Knowledge of BI tools such as Micro Strategy
• Basic Knowledge of Hadoop

--

Thanks& Regards,

Vijay |Sr. Technical Recruiter

ICSGlobal Soft, INC.

Tel:972.200.0595 | E-Mail: vijay@icsglobalsoftinc.com | Web: http://www.icsglobalsoftinc.com/|

CertifiedMinority Business Enterprise (MBE), SBE | An NMSDC Certified | An E- VerifiedCompany |