Data Quality Analyst

🔥 17 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $128.039 - $173.229 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧐 Analista

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General Dynamics Information Technology

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1954

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A General Dynamics Information Technology é uma empresa na vanguarda da inovação tecnológica, oferecendo uma ampla gama de serviços, incluindo consultoria, modernização digital e serviços de aplicações. A empresa atua fortemente na implementação de soluções relacionadas a Inteligência Artificial (IA), Cloud Computing, Cybersecurity, High-Performance Computing (HPC) e tecnologias quânticas. A GDIT é comprometida em apoiar os setores governamental e de defesa, fornecendo serviços críticos para a missão, como logística e gestão da cadeia de suprimentos, inteligência e segurança interna. A empresa também prioriza práticas de contratação diversas e inclusivas e promove ativamente o bem-estar dos colaboradores. Por meio de suas soluções de aceleração digital e do uso pioneiro de tecnologias emergentes, a GDIT busca impulsionar as missões das agências e enfrentar desafios tecnológicos complexos.

Descrição

• 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 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, 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 CMM Data Modernization and Governance team delivering data governance, engineering, data platform, reporting, analytics, and AI/ML capabilities for the Administrative Office of the US Courts

🎯 Requisitos

• Minimum 6+ years of experience, including at least 3+ years of specialized experience • Experience in data quality analysis and design of business applications on complex systems for large-scale computers, database management, programming languages, and/or DBMS • Experience supporting enterprise data governance programs • Experience translating governance policy into practical operational processes • 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 • 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: experience in Federal Government or regulated environments • Preferred: experience with enterprise data governance frameworks and operating models • Data management certification preferred • No US citizenship required • No clearance required

🏖️ Benefícios

• Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan • 401(k) plan with pre-tax and post-tax contributions and company match • Full flex work weeks where possible • Vacation, sick, and personal time off • Paid holidays • Paid parental leave • Paid military leave • Paid bereavement leave • Paid jury duty leave • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Identity verification process using advanced biometrics and artificial intelligence