Operations Analyst responsible for identifying fraudulent behaviors and protecting data cloud integrity at Dun & Bradstreet. Collaborating with teams to analyze business malfeasance and high-risk patterns.
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.
Requirements
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.
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