Data Operations Analyst I (R-19987)
Shaping the Future with Dun & Bradstreet "At Dun & Bradstreet, we believe that data can create a better future. As one of the world's most influential business information services organizations, we help companies globally achieve growth, manage risk, and drive innovation. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We are a diverse global team dedicated to driving innovation and collaboration, bravely exploring frontier ideas. Are you ready to make an impact and shape the future together? Join us! Please visit dnb.com/careers to explore more opportunities."
Job Introduction
【Job Description】 · Perform daily processing, quality checking, and maintenance of core data for the China market under the company's established data governance framework, global standards, and operational processes, supporting data needs for business and products, and ensuring the accuracy, consistency, and traceability of the data under your responsibility. · Carry out work in accordance with established corporate registration data processing rules and operational guidelines, identifying and providing feedback on issues within rules or processes; assist in updating operational guidelines and testing improvement plans under the guidance of supervisors or senior colleagues. · Participate in cross-source data integration, completing data organization, reconciliation, and anomaly feedback according to established plans, supporting data consistency between different systems. · Execute verification, deduplication, matching, data statistics, and result checking according to established data quality control mechanisms, and record and escalate anomalies according to processes. · Complete data processing, result verification, quality checking, and delivery based on clearly defined business requirements and established data plans; promptly escalate matters with unclear requirements or those exceeding the established scope for confirmation. · Use company-approved automation, rule-based, and AI tools to support data processing, quality checking, and anomaly identification; assist in conducting tool testing, result verification, and problem feedback. · Share daily operational experience and verified working methods as needed to support internal knowledge exchange within the team. · Take responsibility for assigned workload, output targets, and work quality (specific requirements will be updated and adjusted accordingly based on the company's periodic business needs and actual operational circumstances). · Other job-related tasks assigned by supervisors or required by the company 【Job Requirements】 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; background in Information Management, Computer Science, Data Management, or other related majors. · 1–3 years of work experience in data processing, data management, data operations, or related fields. · Understanding of basic concepts and methods such as data governance, master data management, and data quality management. · Ability to perform data organization, analysis, and quality checking, and capable of conducting data processing work according to established rules. · Ability to understand basic data structures and business logic, and complete data processing work according to established plans under guidance. · Ability to use Excel, Access, SQL, Python, or similar tools to conduct data processing work. Proficiency in using Excel or similar tools for basic data organization and checking; experience with Access, SQL, Python, or other data processing tools is preferred. · Ability to learn and use company-approved automation or AI tools, capable of completing basic applications, result checking, and problem feedback under guidance. · Understanding of basic applications of automation or AI tools in scenarios such as data cleansing, entity matching, quality checking, and text processing is preferred. · Good communication and collaboration skills, able to work collaboratively with business and technical teams. · Proactive learning awareness, sense of responsibility, and team spirit. · Basic English reading and writing skills to meet the needs of the position.
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