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。
PURPOSE OF THE JOB:
PURPOSE OF THE JOB (required for supervisory/managerial job): Summarize why this job exists and the contribution it makes to the overall business of the company Life here at Dun & Bradstreet is changing – for the better. With almost two centuries of experience and a new modern vibe, work at D&B has never been more exhilarating. Our purpose is to grow the most valuable relationships in business by uncovering truth and meaning in data. We’re wildly passionate about our purpose, and it has us evolving everything we do – from how we engage with our customers to how we energize one another. So if you thrive in a fluid, agile culture but want the solidity of a storied and commanding brand, come join us!
PRINCIPAL ACCOUNTABILITIES: :
PRINCIPAL ACCOUNTABILITIES: Describe the major activities of the job, emphasizing the end results which must be achieved (suggest listing from the most important task) To support data operations by executing defined data maintenance and quality processes under established data governance and global standards, ensuring data accuracy, consistency, and traceability. Maintain master and reference data in line with data governance standards
Perform data quality checks including validation, de-duplication, reconciliation, and issue analysis
Handle data lifecycle activities including creation, updates, merges, and deactivation with traceability
Support business and sales teams by understanding customer data needs and translating them into data requirements Assist with file build and maintenance aligned with global data processes (e.g. DUNS-related workflows)
Support cross-system and cross-border data requests under defined processes (e.g. matching, appending, counting, license checks) Collaborate with data, IT, operations, and global teams on data-related activities
Basic awareness of AI-assisted or automation tools, and willingness to apply them to improve efficiency in data processing and documentation tasks Share knowledge and provide basic guidance after onboarding stabilization
Participate in global or cross-regional data projects as a contributing team member, focusing on execution and data support
EXPERIENCE, KNOWLEDGE, SKILLS, ABILITIES: :
EXPERIENCE, KNOWLEDGE, SKILLS, ABILITIES: List the experience, knowledge, skills and abilities necessary to do the job in a fully competent manner
• Bachelor’s degree or above; majors in information management, computer science, or data-related fields preferred
• Proficient in Microsoft Excel and Access, with ability to understand data structures and apply logic
• Detail-oriented with strong data sensitivity and sense of responsibility
• Good communication skills and ability to collaborate with business and technical teams
• English: able to read field definitions and write simple work-related documentation (CET4+)
• Quick learner, team player Preferred / Can Be Developed
• Basic SQL skills; able to use existing query templates for data extraction and simple analysis
• Awareness of data governance, master data, or data quality concepts
• Willingness to learn automation or AI-assisted tools
MAJOR PROBLEMS / CHALLENGES:
MAJOR PROBLEMS / CHALLENGES (required for supervisory/managerial job): Describe 2 or 3 of the most difficult challenges or problems typically encountered in this job
• Ensuring data compliance, quality, and consistency while handling complex and sometimes ambiguous data requirements across different business and regulatory contexts
• Managing data-related tasks that involve coordination across multiple teams, including onshore and offshore stakeholders, with differing processes and data standards
• Handling cross-border data requests and global data processes while balancing efficiency, accuracy, and internal compliance requirements INTERNAL & EXTERNAL RELATIONSHIP: Briefly describe the internal and external contacts with whom this position interacts and the frequency of such interaction
• Internal: Data Operation Team IT Team Sales Team Overseas Operation Team
• External: Customer Vendors
申请指南
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