Data Operations Analyst I (R-19987)

About the Position

Data Operations Analyst I (R-19987)

Join Dun & Bradstreet as a Data Operations Analyst I in Changsha, China, to manage and analyze enterprise data, ensuring data quality and consistency across systems.

Responsibilities

• Data Processing: Follow established enterprise data processing rules and guidelines, identify and provide feedback on issues in rules or processes, and assist in updating operational guidelines and testing improvement plans under the guidance of superiors or senior colleagues.
• Data Integration: Participate in cross-source data integration, complete data organization, verification, and anomaly feedback according to established plans, and support data consistency between different systems.
• Data Quality Control: Execute verification, deduplication, matching, data statistics, and result verification according to established data quality control mechanisms, and record and escalate anomalies as per the process.
• Data Handling: Complete data processing, result verification, quality checks, and delivery based on clear business needs and established data plans; promptly escalate and confirm issues with unclear requirements or beyond established scope.
• Tool Utilization: Use company-approved automation, rule-based, and AI tools to support data processing, quality checks, and anomaly identification; assist in tool testing, result verification, and issue feedback.
• Knowledge Sharing: Share daily operational experiences and verified work methods to support internal team knowledge exchange.
• Accountability: Take responsibility for assigned workload, output targets, and work quality (specific requirements will be updated and adjusted based on the company's phased business needs and actual operational situation).
• Additional Tasks: Perform other job-related tasks as required by superiors or the company.

Requirements

• Education: Bachelor's degree or above in information management, computer science, data management, or related fields.
• Experience: 1-3 years of experience in data processing, data management, data operations, or related fields.
• Knowledge: Understanding of basic concepts and methods in data governance, master data management, and data quality management.
• Skills:
  • Ability to organize, analyze, and verify data quality, and perform data processing according to established rules.
  • Ability to understand basic data structures and business logic, and complete data processing tasks according to established plans under guidance.
  • Proficiency in using Excel, Access, SQL, Python, or similar tools for data processing.
  • Proficiency in using Excel or similar tools for basic data organization and verification; experience with Access, SQL, Python, or other data processing tools is preferred.
  • Ability to learn and use company-approved automation or AI tools, and complete basic applications, result verification, and issue feedback as guided.
  • Understanding of the basic applications of automation or AI tools in data cleaning, entity matching, quality checks, and text processing is preferred.
• Abilities:
  • Good communication and collaboration skills, able to work with business and technical teams.
  • Strong sense of initiative, responsibility, and teamwork.
  • Basic English reading and writing skills to meet job requirements.

We Offer

• Competitive salary
• Opportunity to work in a leading global information and insights company
• Professional development opportunities

About the Company

Dun & Bradstreet is a leading global provider of commercial data and analytics that helps companies around the world make better business decisions. We are committed to fostering a diverse and inclusive workplace where all employees feel valued and empowered to do their best work.

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For more information about Dun & Bradstreet, visit dnb.com.