远程工作雷达

高级数据分析师

Advanced Data Analyst

其他限定地区(需当地身份)
公司Agilent Technologies
薪资$124,160 - $232,800/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位描述

在安捷伦,我们致力于提供可信赖的数据,以推动业务增长、运营卓越和数字化转型。随着我们通过 Microsoft Fabric、Power BI 和企业级数据治理能力不断现代化我们的分析生态系统,我们正在寻找一名数据治理与质量工程师,以帮助在商业组织内建立可信赖、受控且具备业务准备度的数据资产。

通过加强安捷伦的数据管理基础,确保关键的商业数据资产被明确定义、目录化、受控,并符合企业数据标准。通过推进元数据管理、数据目录采用和可持续的数据质量实践,该职位将提升商业准备度,并为可扩展的分析和人工智能驱动的应用场景创建可信赖的数据基础。

我们正在寻找一位经验丰富的数据治理与质量工程师,以在塑造安捷伦现代数据管理格局中发挥关键作用。

在此职位上,您将结合数据治理和数据质量的专业知识,确保关键业务数据资产受到管控、可发现、可信赖,并能够支持运营、分析和人工智能驱动的应用场景。您将协助建立并维护在 Microsoft Fabric 和企业数据目录环境中的数据资产治理流程,同时与业务利益相关者、数据所有者、架构师和分析团队合作,提高商业数据的质量、可用性和透明度。

此职位适合一位喜欢在业务流程、政策、技术和数据治理交汇点工作的专业人士,希望帮助构建下一代分析和人工智能能力的基础。

主要职责

数据治理与元数据管理

  • 成为客户主数据领域的专家,并与业务团队合作,建立治理标准、责任模型和流程、受控数据产品以及企业报告资产
  • 通过定义和维护元数据、业务上下文定义、所有权、数据管家职责、分类、质量要求和认证标准,对关键数据资产进行治理
  • 管理企业数据目录内容、业务术语表条目、数据血缘文档和影响分析,以确保数据资产可发现、易理解且可信

现代数据平台与分析

  • 支持安捷伦对 Microsoft Fabric 的采用
查看英文原文

Job Description

At Agilent, we are committed to delivering trusted data that enables business growth, operational excellence, and digital transformation. As we continue to modernize our analytics ecosystem through Microsoft Fabric, Power BI, and enterprise data governance capabilities, we are seeking a Data Governance & Quality Engineer to helpestablishtrusted, governed, and business-ready data assets across the Commercial Organization.

To strengthen Agilent’s data management foundation by ensuring that critical commercial data assets are clearly defined, cataloged, governed, and aligned to enterprise data standards. By advancing metadata management, data catalog adoption, and sustainable data quality practices, the position will improve commercial readiness and create the trusted data foundation needed for scalable analytics and AI-driven use cases.

We are seeking an experienced Data Governance & Quality Engineer to play a key role in shaping Agilent's modern data management landscape.

In this role, you will combine data governanceand data qualityexpertiseto ensure business-critical data assets are governed, discoverable, trusted, and ready to support operational, analytical, and AI-driven use cases. You will helpestablishand maintain governance processes for data assets within Microsoft Fabric and enterprise data catalog environments, while partnering with business stakeholders, data owners, architects, and analytics teams to improve the quality, usability, and transparency of commercial data.

This role is ideal for a professional who enjoys working at the intersection of business processes,policy,technology, and data governance and who wants to help build the foundation for the next generation of analytics and AI capabilities.

Key Responsibilities

Data Governance & Metadata Management

  • Become a subject matter expert inCustomer Master Data and partner withbusiness teamstoestablishgovernance standards, accountability models, and processes,governed data products, and enterprise reporting assets
  • Govern critical data assets by defining andmaintainingmetadata, businesscontextdefinitions, ownership, stewardship responsibilities, classifications, quality requirements, and certification criteria.
  • Manage enterprise data catalog content, business glossary entries, lineage documentation, and impact analysis to keep data assets discoverable, understandable, and trusted.

Modern Data Platforms & Analytics

  • Support Agilent's adoption of Microsoft Fabric, Power BI, Snowflake, and modern data management capabilities, with a focus on governed, reusable, and business-ready data assets.
  • Use SQL,Data Catalogs,Power BI, and related tools to analyze data,validategovernance controls, and support quality and metadata monitoring activities.
  • Collaborate with Data Architecture, Data Engineering, and Analytics teams to embed governance, catalog, semantic layer, and monitoring requirements into solution design and delivery.

Data Quality Engineering

  • Profile enterprise data to assess quality,identifyrisks,establishbaselines, and define data quality rules, KPIs, and monitoring processes for critical business data.
  • Perform root cause analysis and drive sustainable remediation of data quality issues in partnership with business and technical teams.
  • Develop monitoring and scorecard solutions that provide visibility into data quality, governance performance, and commercial readiness.

Business Partnership

  • Act as a trusted advisor for system implementations, integrations, business process changes, and digital transformation initiatives where data governance and quality are critical to commercial readiness.
  • Partner with stakeholders across Sales, Services, Marketing, and Operations to promote data literacy, stewardship, and practical governance best practices.

Qualifications

  • Bachelor's orMaster's degree in Computer Science, Information Management,Process Engineering,Business Analytics, Engineering, Mathematics, Statistics, ora related field.
  • 8+ years of experience in Data Governance, Metadata Management, Data Quality, Analytics, Business Intelligence, or related disciplines.
  • Strong SQL skills and experience working with large enterprise datasets.
  • Experience with Power BI, Snowflake, SAP, CRM, HANA, or similar enterprise platforms.
  • Experience with data catalogs, metadata management, business glossaries, lineage, data ownership models, and stewardship frameworks.
  • Understanding ofmodern analytics architectures, and governed data products.
  • Experience defining and implementing data quality standards, monitoring frameworks, and remediation processes.
  • Familiarity with Microsoft Fabric or similar cloud-based analytics ecosystems.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to translate business requirements into practical governance and data management solutions.

Additional Details
This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 21, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $124,160.00 - $232,800.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required:
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