Coordinator, Data Operations (R-19990)

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! 

• To be responsible for processing data in line with customer needs and ensuring the achievement of global data targets. 

PRINCIPAL ACCOUNTABILITIES: 

Describe the major activities of the job, emphasizing the end results which must be achieved (suggest listing from the most important task) 

This role is primarily responsible for supporting Hong Kong–related data operations and project delivery, with a focus on court data, registry data, DUNS matching, UBO processing, and internal project support. The position emphasizes data accuracy, consistency, and timely delivery, working closely with regional teams and internal stakeholders. 

• Support Hong Kong court and regulatory data processing, including data acquisition, cleansing, status updates, and validation. 

• Perform DUNS matching and review through a combination of system-based matching and manual verification. 

• Process and maintain UBO-related data, including machine-assisted matching and manual review as required. 

• Handle official registry and census-related data, ensuring correct data entry, formatting, and quality checks. 

• Support internal data delivery and resolution tasks, including research requests, DUNS-related support, and linkage verification. 

• Participate in project-based data tasks, such as data counting, reconciliation, and reporting. 

• Ensure all data handling complies with internal data quality, governance, and compliance standards. 

• Collaborate with China and regional teams to support cross-border data and project requirements. 

• 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 

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 (CET6) 

• 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 (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