Data Quality Analyst

About The Company GDIT (General Dynamics Information Technology) is a leading provider of technology solutions and professional services, dedicated to supporting government agencies and organizations with innovative and reliable IT solutions. With a focus on delivering mission-critical systems, GDIT has established a reputation for excellence in the fields of data management, cybersecurity, cloud computing, and digital modernization. The company prides itself on fostering a collaborative and inclusive work environment that encourages continuous learning and professional growth. GDIT’s commitment to public service and technological advancement makes it an ideal employer for professionals seeking impactful careers in the federal government and related sectors. About The Role Seize your opportunity to make a significant impact supporting the Case Management Modernization (CMM) Program, an initiative aimed at developing a modern, cloud-based solution for all 204+ federal courts across the United States. As a Data Quality Analyst, you will be a vital member of the CMM Data Modernization and Governance team, responsible for establishing and operationalizing data quality practices across various data domains and systems. Your role will involve defining, implementing, and continuously improving data quality rules, controls, and metrics to ensure data integrity, accuracy, and reliability. You will collaborate with data owners, stewards, and technical teams to identify issues, perform root cause analysis, and drive ongoing improvements, supporting the modernization efforts and fostering a data-driven culture within the judiciary system. This position offers an exciting opportunity to work on challenging projects that directly impact the efficiency and effectiveness of federal court operations nationwide. Qualifications Minimum of 6+ years of professional experience in data analysis, data quality management, or related fields.At least 3+ years of specialized experience in data quality analysis, enterprise data governance, or large-scale data systems.Experience supporting enterprise data governance programs and translating governance policies into operational processes.Strong understanding of data quality management principles, metadata practices, and stewardship models.Experience governing high-sensitivity or regulated data with compliance requirements.Proficiency in data profiling, monitoring techniques, and tooling patterns.Knowledge of data standards, data modeling, integration patterns, and change data capture concepts.Experience with metadata and catalog tools, including glossary and lineage capabilities.Ability to translate technical metadata into business-friendly definitions and documentation.Experience implementing data privacy controls and operationalizing privacy requirements.Strong collaboration skills with security, governance, and engineering teams. Responsibilities Define, document, and maintain data quality rules, controls, metrics, and validation criteria.Collaborate with Data Owners, Data Stewards, and stakeholders to establish data quality requirements.Assess data quality across critical data domains, systems, interfaces, and pipelines.Develop data quality profiles, scorecards, dashboards, and trend analyses to monitor data integrity.Identify, investigate, and prioritize data quality issues, performing root cause analysis to determine origins.Establish remediation processes and track issues through resolution, ensuring continuous improvement.Implement automated data quality checks and controls within data pipelines and products.Partner with Data Engineers and application teams to embed quality controls in ETL/ELT processes.Support data modernization, migration, and transformation initiatives with quality requirements.Establish continuous monitoring and alerting mechanisms for critical data quality conditions.Identify recurring issues and recommend improvements to systems, processes, or governance practices.Collaborate with Data Governance and Metadata teams to align data quality rules with standards and definitions.Contribute to the development of data quality standards, policies, and operating procedures.Provide regular data quality reports to governance councils and program leadership.Participate in advancing the maturity of the CMM data quality framework and practices. Benefits Competitive salary range of $128,039 - $173,229, commensurate with experience and location.Remote work flexibility, allowing for work from any location.Opportunity to contribute to impactful federal modernization projects.Professional development and career growth within a leading technology solutions provider.Collaborative and inclusive work environment fostering innovation and continuous learning.Support for work-life balance with scheduled weekly hours of 40. Equal Opportunity GDIT is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We promote a workplace that values individual differences and fosters a culture of respect and fairness.