Data Quality Analyst

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $123.3k - $166.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧐 Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• 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

• 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

• 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