数据质量分析师
Data Quality Analyst
职位类型：
Pipeline
当前必须具备的审查级别：
无
可获得的审查级别：
无
公共信任/其他要求：
无
职位系列：
数据科学与数据工程
职位资格：
技能：
分析、数据准确性、数据质量
认证：
无
经验：
6年以上相关经验
美国公民要求：
否
职位描述：
抓住机会，为案件管理现代化（CMM）计划做出个人贡献。CMM计划是支持美国法院行政办公室（AO）开发现代云基础解决方案的举措，以支持美国204多个联邦法院。
GDIT是您为具有挑战性的项目做出有意义贡献并发展有回报的职业的地方。数据质量分析师将作为CMM数据现代化和治理团队的一员，负责交付集成的数据治理、工程、数据平台、报告、分析和人工智能（AI）/机器学习（ML）功能，以支持运营决策，并实现AO在CMM计划中的数据和分析目标。
成功候选人将负责在CMM数据领域和系统中建立和实施数据质量实践，以加速CMM现代化工作。该角色定义、实施、监控并持续改进数据质量规则、控制、指标和流程，以确保数据准确、完整、一致、及时、有效、唯一且适合其预期用途。该角色调查并解决数据质量问题，并与数据所有者和管理者合作，推动数据准确性、完整性和可靠性的持续改进，支持与司法政策、实践和当前数据治理路线图的一致性，并在AO和地方法院中培养数据驱动的文化。
数据质量分析师将执行以下职责：
- 定义、记录和维护数据质量规则、控制、指标、阈值、业务验证标准和测量框架。
- 与数据所有者、数据管理者、业务利益相关者和技术团队协作，建立数据质量要求。
- 评估关键数据领域、系统、接口、数据流和数据产品中的数据质量。
- 开发数据质量档案、基准线、评分卡、仪表板和趋势分析。
- 识别、调查、记录并优先处理数据质量问题。
查看英文原文
Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Analytics, Data Accuracy, Data QualityCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
NoJob 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 8+ 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.
- Experience with cloud-based data quality platforms, tools, and services (e.g., Collibra, Informatica, Snowflake, Databricks, or AWS).
The likely salary range for this position is $123,250 - $166,750. 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.Scheduled Weekly Hours:
40Travel Required:
NoneTelecommuting Options:
RemoteWork Location:
USA IL Home Office (ILHOME)Additional Work Locations:
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. 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.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransOriginally posted on Himalayas