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Data Quality Analyst Jobs in Reston, VA (NOW HIRING)

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA · On-site

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 ...

Beyond SOF

Data Quality Analyst (TS/SCI)

Reston, VA

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 ...

GDIT

Data Governance & Quality Analyst

Falls Church, VA · On-site

$111K - $150K/yr

Analytical Thinking, Data Access, Data Quality Certifications: None Experience: 3 + years of related experience US Citizenship Required: Yes Advance your career while impacting our national security ...

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How much do data quality analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data quality analyst in Reston, VA is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $36.01 and $62.79 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.

Is a data analyst highly paid?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. They often require skills in data visualization, SQL, and Excel, and can advance to higher-paying roles such as data scientist or data manager.

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.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and pattern recognition, but it does not replace the need for data analysts. Data analysts are essential for interpreting insights, making strategic decisions, and managing complex datasets that require human judgment and domain expertise. The role continues to evolve with new tools, emphasizing skills in data visualization, programming, and critical thinking.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data quality analyst or data analyst, as the field values skills such as data analysis, SQL, and Excel, which can be learned at any age. Many professionals successfully transition into data roles later in their careers by gaining relevant certifications and experience. Employers focus on skills and experience rather than age, making it possible to start a data analyst career at 40 or older.

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 do data quality analysts do?

Data quality analysts are responsible for assessing, monitoring, and improving the accuracy, completeness, and reliability of data within an organization. They use tools like data profiling and validation techniques to identify issues and ensure data meets quality standards, often working with databases and data management software. Strong analytical skills and attention to detail are essential for this role.
What are popular job titles related to Data Quality Analyst jobs in Reston, VA? For Data Quality Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Quality Analyst jobs in Reston, VA look for? The top searched job categories for Data Quality Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Quality Analyst jobs? Cities near Reston, VA with the most Data Quality Analyst job openings:
Data Quality Analyst jobs near you
Infographic showing various Data Quality Analyst job openings in Reston, VA as of June 2026, with employment types broken down into 49% Full Time, and 51% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $104,806 per year, or $50.4 per hour.
Data Quality Analyst

Data Quality Analyst

Fortress Information Security

Washington, DC

$89K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Data Quality Analyst
Location: On-site, Patuxent River, MD
Compensation: $89,501 - 127,186 per year, depending on experience and qualifications
Employment Type: Full-Time
Clearance Requirement: Active Secret clearance is required at time of hire
Travel Requirement: Requires regular travel, estimated between 15–25% annually (includes onsite client visits)
What you can expect as the Data Quality Analyst at Fortress...
The Data Quality Analyst plays a critical role within the FGS Government Delivery team, responsible for improving the accuracy, completeness, and reliability of data integrated into Fortress's Cyber Supply Chain Risk Management (C-SCRM) platform supporting government programs. This position directly addresses data quality gaps across disparate government data sources by validating, standardizing, and enhancing metadata to ensure high-confidence operational outputs for mission-critical Navy programs. It is an ideal opportunity for a detail-oriented analyst looking to deepen their expertise in government data quality and supply chain risk management with direct exposure to federal clients and high-visibility programs. The role operates with moderate guidance and requires strong analytical judgment to navigate incomplete, inconsistent, and evolving data inputs.
Responsibilities Include:
  • Validate and reconcile metadata across multiple disparate government data sources to ensure accuracy and completeness within the C-SCRM platform
  • Identify, analyze, and resolve data anomalies and inconsistencies to improve overall data quality and reliability
  • Collaborate with program stakeholders to define, create, and update required metadata supporting enterprise data standards
  • Support the ingestion, normalization, and baselining of data sources into the C-SCRM tool
  • Execute manual Software Bill of Materials (SBOM) implementation and validation processes within air-gapped environments
  • Develop and execute data validation workflows using Excel, Looker, and QA tools to monitor and improve data integrity
  • Write and execute queries or scripts to efficiently analyze datasets and detect quality issues
  • Track, document, and manage data defects and remediation efforts using Jira and other tracking systems
  • Participate in regular working sessions with government clients and internal teams to review data quality, resolve issues, and align on requirements
  • Continuously improve data quality processes, documentation, and validation techniques to support scalable operations
Minimum Qualifications:
  • 1–3 years of experience in data quality, cybersecurity, or related technical roles
  • Active Secret security clearance (required)
  • Experience supporting mission-critical or high-visibility programs in a client-facing environment
  • Strong understanding of Navy systems and cybersecurity requirements within regulated environments
  • Advanced proficiency in Microsoft Excel for data analysis and validation
  • Experience using data validation or QA tools to assess and improve data quality
  • Experience using Jira or similar ticketing systems to track defects and workflows
  • Ability to write queries or scripts to analyze and validate datasets
  • Strong analytical judgment and problem-solving skills with attention to detail
  • Ability to execute independently with moderate guidance
Preferred Skills:
  • Experience supporting Navy Program Offices or similar government organization
  • Experience with Supply Chain Risk Management (SCRM) concepts and tools
  • Familiarity with government data systems such as eMASS, ACAS, DADMS, and FPDS
  • Experience working with data visualization or analytics tools such as Looker
  • Familiarity with scripting or programming languages such as Python
  • Industry certifications such as CISSP or CSSLP
  • Ability to leverage AI tools through basic prompting for tasks such as drafting, summarizing, or brainstorming, while applying judgment to AI-generated output.
Education
  • Bachelor’s Degree or equivalent professional work experience required.
Employee Benefits:
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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