Dun & Bradstreet
Data & Analytics
Coordinator,DataOperations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Coordinator, Data Operations at Dun & Bradstreet. Skills: Data processing, Data extraction, Data analysis, Communication, Collaboration. Handling complex and sometimes ambiguous data requirements in various business and regulatory scenarios, ensuring data compliance, quality, and consistency. Coordinating data tasks involving onshore and offshore teams, and multiple teams, managing challenges from different processes and data standards”
Industry & Context.
Logical thinking to process data; Solving routine problems under established processes and guidance; Handling and improving unconventional or complex problems within existing policy frameworks
What They're Looking For.
Must Have
Bachelor's degree or above, preferably in Information Management, Computer Science, or Data-related fields, Proficiency in Microsoft Excel and Access, Ability to understand data structures and use logical thinking to process data, Attention to detail, strong data sensitivity, and sense of responsibility, Good communication skills, ability to collaborate effectively with business and technical teams, English proficiency: Ability to read field definitions and write basic work-related documents (CET-6 level), Strong learning ability and good teamwork spirit
Nice to Have
Basic SQL skills, ability to use existing query templates for data extraction and simple analysis, Understanding of data governance, master data, or data quality concepts, Willingness to learn and use automation or AI-assisted tools
What You'll Do.
Handling complex and sometimes ambiguous data requirements in various business and regulatory scenarios
ensuring data compliance
Coordinating data tasks involving onshore and offshore teams
managing challenges from different processes and data standards
Balancing processing efficiency
and internal compliance requirements in cross-border data requests and global data processes
How You'll Work.
Team & Collaboration
Data Operations team; IT team; Sales team; Overseas Operations team; Business teams; Technical teams
Communication Scope
Good communication skills; Ability to collaborate effectively with business and technical teams; Ability to read field definitions and write basic work-related documents
Full Job Description
## Description 与邓白氏一起塑造未来 在邓白氏,我们相信数据能够创造更美好的未来。作为全球最具影响力的商业信息服务机构之一,我们帮助全球企业实现增长、管理风险并推动创新。180 多年来,企业一直信任我们能将不确定性转化为机遇。我们是一支多元化的全球团队,致力于推动创新与协作,勇于探索前沿理念。你准备好发挥影响力、共同塑造未来了吗?加入我们吧!请访问 dnb.com/careers 探索更多机会。 ## 任职要求(EXPERIENCE, KNOWLEDGE, SKILLS & ABILITIES) 任职要求(EXPERIENCE, KNOWLEDGE, SKILLS & ABILITIES) 必备条件 本科及以上学历,信息管理、计算机、数据相关专业优先。 熟练使用 Microsoft Excel 和 Access,能够理解数据结构并运用逻辑思维处理数据。 工作细致,具备较强的数据敏感度和责任心。 具备良好的沟通能力,能够与业务团队和技术团队有效协作。 英语能力:能够阅读字段定义,并撰写基础的工作相关文档(英语六级水平)。 学习能力强,具备良好的团队合作精神。 优先条件 / 可培养能力 具备基础 SQL 技能,能够使用现有查询模板进行数据提取和简单分析。 了解数据治理、主数据或数据质量相关概念。 愿意学习并使用自动化或 AI 辅助工具。 主要挑战(MAJOR PROBLEMS / CHALLENGES) 在不同业务及监管场景下,处理复杂且有时存在歧义的数据需求,同时确保数据的合规性、质量和一致性。 在涉及岸内与岸外、多团队协作的数据任务中,处理不同流程及数据标准带来的协调挑战。 在跨境数据请求与全球数据流程中,平衡处理效率、数据准确性及内部合规要求。 内外部沟通关系(INTERNAL & EXTERNAL RELATIONSHIP) 内部: 数据运营团队、IT 团队、销售团队、海外运营团队 外部:客户、供应商 工作复杂度(COMPLEXITY) 该岗位主要从事常规性工作,通常在既定流程和指导下解决日常问题;遇到非常规或复杂问题时,需上报主管或在现有政策框架内进行处理和改进。 工作自主性与责任(ACCOUNTABILITY) 在较为明确的指导和流程下开展工作,可在一定范围内自行判断并做出决策。 对个人工作结果负责,不涉及下属管理责任。 工作地址 ## Additional Information 申请指南 如您要申请该职位,请点击“申请该职位”按钮。屏幕将跳转至新的页面,显示以下字段:简历、全名、电子邮箱、电话号码和当前供职公司。您可以选择提供关联至您的Linkedin、GitHub、portfolio、Twitter或其它网站的链接。您也可以在“附加信息”中添加推荐信、更多个人信息或您对该职位的意向。最后,请点击“提交申请”按钮以完成申请。我们期待您的申请! --- All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
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