Business decisioning data and analytics platform for China and Asia-Pacific
Dun & Bradstreet China operates a data and analytics infrastructure designed to support credit decisioning, compliance, and sales intelligence across supply chain and financial services use cases. The stack centers on graph databases (Neo4j, JanusGraph, Nebula) and streaming/batch processing (Kafka, Spark, Flink, Hadoop), with active projects in knowledge graphs for recommendation and risk control — revealing a shift toward AI-driven recommendations and real-time risk assessment. Accelerating hiring in data and engineering roles (7 mid, 7 senior across both) alongside sales teams points to expansion of MNC client coverage and higher-value prospect identification capabilities.
Dun & Bradstreet China is the Asia-Pacific subsidiary of the global business intelligence firm, operating since 1981 in mainland China. The company serves financial institutions, supply chain operators, and sales-driven enterprises through four primary service lines: trade credit and supply chain analytics, compliance and anti-fraud detection, sales and marketing intelligence, and inclusive finance solutions. The China operation combines proprietary business data, graph-based analytics, and professional services to help clients make decisioning calls on credit risk, regulatory exposure, and sales opportunity. Active delivery spans offline and real-time data pipelines, knowledge graph construction, and sales funnel modeling.
Core: Java, Python, Scala, Neo4j, JanusGraph, Nebula for graph workloads. Streaming: Kafka, Spark, Flink. Data: Hadoop, Hive, ClickHouse. Observability: Prometheus, Grafana, ELK stack. Infrastructure: Alibaba Cloud, AWS, Kubernetes, Terraform, Ansible.
Offline and real-time data pipelines; knowledge graphs for recommendation, search, and risk control; AI-driven sales deep mining and high-value prospect identification; sales funnel modeling; expanding MNC client strategy and market trend analytics.
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