Job Description

Shape the Future with Dun & BradstreetAt Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers

Within the Fraud Operations organization, we have an immediate opening for passionate and self-driven individuals wanting to have an anti-fraud career. We are seeking an Operations Analyst who will report to the Manager, Fraud Operations.

The Operations Analyst plays a key role in identifying and investigating businesses that may be exhibiting malfeasant characteristics. The Operations Analyst will also be responsible for identifying new high-risk patterns and working amongst various teams at Dun & Bradstreet to protect our data cloud from material misrepresentation.

Key Responsibilities:

• Identify and investigate business that may be exhibiting malfeasant characteristics, primarily in the United States and on occasion in other markets.
• Use business analysis tools and techniques to identify suspicious business characteristics as part of targeted projects on same.
• Work as part of a team to produce changes to protect the D&B database from material misrepresentation.
• Leverage AI‑assisted tools (e.g., copilots, automated analysis, or workflow enhancements) to improve efficiency and accuracy.

Key Skills:

• A graduate degree from an accredited college or university with a focus on either; Criminal Justice, Sociology, Public Safety, Cyber Security, or other related fields of study.
• Minimum 3+ years of relevant experience.
• Strong proficiency in Microsoft Office (MS Suite), including Excel, PowerPoint, and Word.
• Proven experience using Python for analytics or automation and SQL for complex query development.
• Working knowledge of automation and emerging AI technologies, with demonstrated interest in continuous skill development.
• Experience with link analysis or social network analysis tools (e.g., Analyst’s Notebook, Palantir, graph databases) is a plus.
• Ability to adapt quickly and work efficiently in a fast-paced environment.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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