Data Quality Analyst

General Dynamics Information Technology

. Establish and operationalize data quality practices across CMM data domains and systems .

Posted 10/14/2026full-timeRemote • Illinois • United StatesSeniorLead💰 $123,250 - $166,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality management, including the establishment of data quality practices, metrics, and remediation processes. Proficient in data governance, compliance, and the implementation of automated data quality checks across complex systems.

Highest-signal resume keywords

Data Quality ManagementData GovernanceData Quality ProfilingMetadata PracticesData Management Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality AnalysisData ModelingChange Data CaptureRoot-Cause AnalysisData Quality MetricsData Quality RulesData Quality ControlsData Quality DimensionsData Integration PatternsData Privacy Controls

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

CollibraInformaticaSnowflakeDatabricksAWS

Certifications & Qualifications

Data Management Certification

Industry Keywords

Enterprise Data GovernanceRegulated DataCompliance RequirementsFederal GovernmentData Stewardship

Tech Stack

Tools & technologies

AWSCloudETLInformatica

About the role

Key responsibilities & impact

Establish and operationalize data quality practices across CMM data domains and systems
Define, document, and maintain data quality rules, controls, metrics, thresholds, business validation criteria, and measurement frameworks
Establish data quality requirements 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 analyses
Identify, investigate, document, and prioritize data quality issues
Perform root-cause analysis across source systems, business processes, data transformations, integrations, and downstream consumption
Establish remediation processes and track issues through resolution
Monitor data quality against thresholds and service-level expectations
Implement automated data quality checks and controls
Define data quality dimensions including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity
Partner with Data Engineers and application teams to embed quality controls in ETL/ELT pipelines and data products
Support data quality requirements for modernization, migration, integration, and transformation initiatives
Establish continuous monitoring and alerting for critical data quality conditions
Recommend process, system, and governance improvements for recurring issues
Align data quality rules with data standards, definitions, and business glossary terms
Support data quality standards, policies, procedures, and operating practices
Provide data quality reporting to governance councils and program leadership
Contribute to the CMM data quality maturity model
Support the Case Management Modernization Program for the Administrative Office of the U.S. Courts and its 204+ federal courts

Requirements

What you’ll need

Minimum of 8+ years of experience, including at least 3+ years of specialized experience
Experience in data quality analysis and design of business applications on complex large-scale computer systems, database management, programming languages, and/or DBMS
Experience supporting enterprise data governance programs
Experience translating governance policy into operational processes
Strong understanding of data quality management, metadata practices, and stewardship models
Experience governing high-sensitivity or regulated data with compliance requirements
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
Experience in Federal Government or regulated environments preferred
Experience with enterprise data governance frameworks and operating models preferred
Data management certification preferred
Experience with cloud-based data quality platforms, tools, and services such as Collibra, Informatica, Snowflake, Databricks, or AWS preferred
No security clearance required
U.S. citizenship is not required

Benefits

Comp & perks

Medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan options
401(k) plan with pre-tax and post-tax contributions and company match
Full flex work weeks where possible
Paid vacation, sick, and personal time
Paid holidays
Paid parental leave
Paid military leave
Paid bereavement leave
Paid jury duty leave
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance