{"schemaVersion":"jobsearcher.job.v1","id":"4e905a286dc7c25810e8e5cd","url":"https://jobsearcher.com/jobs/4e905a286dc7c25810e8e5cd","canonicalUrl":"https://jobsearcher.com/jobs/4e905a286dc7c25810e8e5cd","title":"Data Quality Analyst","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocation\nRemote, Working from Illinois\n\nKey Skills For Success\n\nAnalytics\n\nData Accuracy\n\nData Quality\n\nREQ#: RQ230489\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to work alongside federal civilian agencies. Make an impact by delivering solutions that improve citizen services millions depends on.\n\nJob Description\n\nSeize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.\n\nGDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Data Quality Analyst will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.\n\nThe successful candidate will be responsible for establishing and operationalizing data quality practices across CMM data domains and systems to accelerate CMM modernization efforts. The role defines, implements, monitors, and continuously improves data quality rules, controls, metrics, and processes to ensure data is accurate, complete, consistent, timely, valid, unique, and fit for its intended purpose. The role investigates and resolves data quality issues, and partners with data owners and stewards to drive ongoing improvements to data accuracy, completeness, and reliability, and supports alignment with Judiciary policies, practices, and the current Data Governance Roadmap, and fosters a data driven culture across the AO and local courts.\n\nThe Data Quality Analyst will execute the following responsibilities:\n\nDefine, document, and maintain data quality rules, controls, metrics, thresholds, business validation criteria, and measurement frameworks.\nEstablish data quality requirements in collaboration with Data Owners, Data Stewards, business stakeholders, and technical teams.\nAssess data quality across critical data domains, systems, interfaces, pipelines, and data products.\nDevelop data quality profiles, baselines, scorecards, dashboards, and trend analysis.\nIdentify, investigate, document, and prioritize data quality issues.\nPerform root-cause analysis to determine whether issues originate from source systems, business processes, data transformations, integrations, or downstream consumption.\nEstablish data quality remediation processes and track issues through resolution.\nMonitor data quality against established thresholds and service-level expectations.\nImplement automated data quality checks and controls where appropriate.\nDefine data quality dimensions including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity.\nPartner with Data Engineers and application teams to embed quality controls within ETL/ELT pipelines and data products.\nSupport data quality requirements for data modernization, migration, integration, and transformation initiatives.\nEstablish continuous monitoring and alerting for critical data quality conditions.\nIdentify recurring data quality issues and recommend processes, system, or governance improvements.\nCollaborate with Data Governance and Metadata teams to align data quality rules with approved data standards, definitions, and business glossary terms.\nSupport development of data quality standards, policies, procedures, and operating practices.\nProvide data quality reporting to governance councils and program leadership.\nContribute to continuous improvement of the CMM data quality maturity model.\n\nQUALIFICATIONS:\n\nA minimum of 8+ years’ experience, of which at least 3+ years is specialized experience in areas such as the following: data quality analysis and design of business applications on complex systems for large-scale computers, data base management, use of programming languages, and/or DBMS.\nDemonstrated experience in supporting enterprise data governance programs.\nExperience translating governance policy into practical operational processes in delivery environments.\nStrong understanding of data quality management, metadata practices, and stewardship models.\nExperience governing high-sensitivity or regulated data with clear compliance expectations.\nExperience with data quality profiling and monitoring techniques and common tooling patterns.\nExperience defining and governing enterprise data standards across multiple teams and delivery pods.\nStrong background in data modeling, integration patterns, and change data capture concepts.\nExperience with metadata and catalog tools.\nPractical experience implementing glossary and lineage capabilities in modern data platforms.\nAbility to translate technical metadata into business-friendly definitions and documentation.\nExperience implementing data privacy controls in regulated or high-sensitivity environments.\nExperience with access management and operationalizing privacy requirements.\nExperience partnering with security, governance, and engineering teams to implement compliant data sharing.\n\nPreferred Qualifications\n\nExperience in Federal Government or regulated environments.\nExperience with enterprise data governance frameworks and operating models.\nData management certification.\nExperience with cloud-based data quality platforms, tools, and services (e.g., Collibra, Informatica, Snowflake, Databricks, or AWS).\nWork Requirements\nYears of Experience\n\n6 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nNone\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $123,250 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Barrington","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-10-22T11:15:10.308Z","occupations":[{"code":"11-3051.01","title":"Quality Control Systems Managers","slug":"quality-control-systems-managers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"19-4099.01","title":"Quality Control Analysts","slug":"quality-control-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Quality Analyst","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocation\nRemote, Working from Illinois\n\nKey Skills For Success\n\nAnalytics\n\nData Accuracy\n\nData Quality\n\nREQ#: RQ230489\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to work alongside federal civilian agencies. Make an impact by delivering solutions that improve citizen services millions depends on.\n\nJob Description\n\nSeize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.\n\nGDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Data Quality Analyst will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program.\n\nThe successful candidate will be responsible for establishing and operationalizing data quality practices across CMM data domains and systems to accelerate CMM modernization efforts. The role defines, implements, monitors, and continuously improves data quality rules, controls, metrics, and processes to ensure data is accurate, complete, consistent, timely, valid, unique, and fit for its intended purpose. The role investigates and resolves data quality issues, and partners with data owners and stewards to drive ongoing improvements to data accuracy, completeness, and reliability, and supports alignment with Judiciary policies, practices, and the current Data Governance Roadmap, and fosters a data driven culture across the AO and local courts.\n\nThe Data Quality Analyst will execute the following responsibilities:\n\nDefine, document, and maintain data quality rules, controls, metrics, thresholds, business validation criteria, and measurement frameworks.\nEstablish data quality requirements in collaboration with Data Owners, Data Stewards, business stakeholders, and technical teams.\nAssess data quality across critical data domains, systems, interfaces, pipelines, and data products.\nDevelop data quality profiles, baselines, scorecards, dashboards, and trend analysis.\nIdentify, investigate, document, and prioritize data quality issues.\nPerform root-cause analysis to determine whether issues originate from source systems, business processes, data transformations, integrations, or downstream consumption.\nEstablish data quality remediation processes and track issues through resolution.\nMonitor data quality against established thresholds and service-level expectations.\nImplement automated data quality checks and controls where appropriate.\nDefine data quality dimensions including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity.\nPartner with Data Engineers and application teams to embed quality controls within ETL/ELT pipelines and data products.\nSupport data quality requirements for data modernization, migration, integration, and transformation initiatives.\nEstablish continuous monitoring and alerting for critical data quality conditions.\nIdentify recurring data quality issues and recommend processes, system, or governance improvements.\nCollaborate with Data Governance and Metadata teams to align data quality rules with approved data standards, definitions, and business glossary terms.\nSupport development of data quality standards, policies, procedures, and operating practices.\nProvide data quality reporting to governance councils and program leadership.\nContribute to continuous improvement of the CMM data quality maturity model.\n\nQUALIFICATIONS:\n\nA minimum of 8+ years’ experience, of which at least 3+ years is specialized experience in areas such as the following: data quality analysis and design of business applications on complex systems for large-scale computers, data base management, use of programming languages, and/or DBMS.\nDemonstrated experience in supporting enterprise data governance programs.\nExperience translating governance policy into practical operational processes in delivery environments.\nStrong understanding of data quality management, metadata practices, and stewardship models.\nExperience governing high-sensitivity or regulated data with clear compliance expectations.\nExperience with data quality profiling and monitoring techniques and common tooling patterns.\nExperience defining and governing enterprise data standards across multiple teams and delivery pods.\nStrong background in data modeling, integration patterns, and change data capture concepts.\nExperience with metadata and catalog tools.\nPractical experience implementing glossary and lineage capabilities in modern data platforms.\nAbility to translate technical metadata into business-friendly definitions and documentation.\nExperience implementing data privacy controls in regulated or high-sensitivity environments.\nExperience with access management and operationalizing privacy requirements.\nExperience partnering with security, governance, and engineering teams to implement compliant data sharing.\n\nPreferred Qualifications\n\nExperience in Federal Government or regulated environments.\nExperience with enterprise data governance frameworks and operating models.\nData management certification.\nExperience with cloud-based data quality platforms, tools, and services (e.g., Collibra, Informatica, Snowflake, Databricks, or AWS).\nWork Requirements\nYears of Experience\n\n6 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nNone\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $123,250 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-10-22T11:15:10.308Z","dateModified":"2026-10-22T11:15:10.308Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Barrington","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e905a286dc7c25810e8e5cd"},"url":"https://jobsearcher.com/jobs/4e905a286dc7c25810e8e5cd"}}