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# Data Analyst

- **Company:** Robert Half
- **Location:** New York, NY, United States
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Data Validation, Fraud Prevention and Detection, Information Management
- **Published:** October 4, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3418298462&tx=TT4239TTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Identify unclear, missing, or conflicting information and escalate items that require additional research or clarification. Requirements - Experience in data analysis, research, or entity-level information management.
 * Ability to investigate complex corporate structures and interpret ownership or affiliation relationships.
 * Familiarity with fraud analytics, anti-fraud practices, or fraud investigation work is strongly preferred.
 * Strong analytical skills with the ability to evaluate, organize, and reconcile data from multiple sources.
 * High attention to detail and commitment to maintaining data quality and consistency.
 * Proficiency in identifying discrepancies, gaps, and ambiguous records within structured datasets.
 * Effective written communication skills and the ability to document findings clearly and accurately. Technology Doesn't Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

* Investigate public and internal information sources to compile organized records of companies, related entities, and corporate affiliates.
 * Clean and align company names, identifiers, and reporting structures so information remains consistent across datasets.
 * Map ownership connections by documenting parent organizations, subsidiaries, and other entity relationships.
 * Examine corporate events such as mergers, acquisitions, divestitures, and reorganizations to capture relevant transaction details.
 * Review and interpret data from multiple sources, then sort, filter, and refine findings according to defined research criteria.
 * Perform validation checks to confirm records are accurate, complete, and formatted to established standards.