Data Quality Analyst

Req ID: RQ227194

Type of Requisition: Regular

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Skills:

Analytics,Data Accuracy,Data Quality

Experience:

6 + years of related experience

Job Description:

Seize 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.

GDIT 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.

The 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.

The Data Quality Analyst will execute the following responsibilities:

• Define, document, and maintain data quality rules, controls, metrics, thresholds, business validation criteria, and measurement frameworks.

• Establish data quality requirements in collaboration with Data Owners, Data Stewards, business stakeholders, and technical teams.

• Assess data quality across critical data domains, systems, interfaces, pipelines, and data products.

• Develop data quality profiles, baselines, scorecards, dashboards, and trend analysis.

• Identify, investigate, document, and prioritize data quality issues.

• Perform root-cause analysis to determine whether issues originate from source systems, business processes, data transformations, integrations, or downstream consumption.

• Establish data quality remediation processes and track issues through resolution.

• Monitor data quality against established thresholds and service-level expectations.

• Implement automated data quality checks and controls where appropriate.

• Define data quality dimensions including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity.

• Partner with Data Engineers and application teams to embed quality controls within ETL/ELT pipelines and data products.

• Support data quality requirements for data modernization, migration, integration, and transformation initiatives.

• Establish continuous monitoring and alerting for critical data quality conditions.

• Identify recurring data quality issues and recommend processes, system, or governance improvements.

• Collaborate with Data Governance and Metadata teams to align data quality rules with approved data standards, definitions, and business glossary terms.

• Support development of data quality standards, policies, procedures, and operating practices.

• Provide data quality reporting to governance councils and program leadership.

• Contribute to continuous improvement of the CMM data quality maturity model.

QUALIFICATIONS:

• A minimum of 6+ 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.

• Demonstrated experience in supporting enterprise data governance programs.

• Experience translating governance policy into practical operational processes in delivery environments.

• Strong understanding of data quality management, metadata practices, and stewardship models.

• Experience governing high-sensitivity or regulated data with clear compliance expectations.

• Experience with data quality profiling and monitoring techniques and common tooling patterns.

• Experience defining and governing enterprise data standards across multiple teams and delivery pods.

• Strong background in data modeling, integration patterns, and change data capture concepts.

• Experience with metadata and catalog tools.

• Practical experience implementing glossary and lineage capabilities in modern data platforms.

• Ability to translate technical metadata into business-friendly definitions and documentation.

• Experience implementing data privacy controls in regulated or high-sensitivity environments.

• Experience with access management and operationalizing privacy requirements.

• Experience partnering with security, governance, and engineering teams to implement compliant data sharing.

Preferred Qualifications

• Experience in Federal Government or regulated environments.

• Experience with enterprise data governance frameworks and operating models.

• Data management certification.

The likely salary range for this position is $128,039 - $173,229. 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.

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As 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.

About Our Work:

We 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.

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