> Markdown version of [/jobs/ext/3676545-data-analyst](https://www.wearedevelopers.com/jobs/ext/3676545-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Robert Half - **Location:** Scottsdale, AZ, United States - **Contract:** Temporary contract - **Skills:** Data Analysis, Big Data, Fraud Prevention and Detection, Intrusion Detection and Prevention, Pattern Recognition - **Published:** October 10, 2026 - **Apply:** https://www.dice.com/job-detail/f92a5c28-68e0-4fb0-b79b-67b0f0ff3cc7 ## About the Role Experience working in data analysis with a focus on fraud, risk, or investigative environments. Knowledge of suspected fraud review processes, fraud analytics, and anti-fraud practices. Ability to interpret complex datasets and present findings in a clear, actionable manner. Background supporting fraud investigations through research, pattern recognition, and data review. Strong analytical thinking and attention to detail when evaluating anomalies and risk signals. Proficiency in using data tools and reporting methods to assess trends and support decision-making., 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 We are looking for a Data Analyst to support fraud detection efforts through thoughtful analysis, investigative insight, and data-driven decision-making. This Long-term Contract position is based in Scottsdale, Arizona, and offers the opportunity to work with teams focused on identifying suspicious activity and strengthening anti-fraud strategies. The ideal candidate will combine strong analytical skills with practical experience reviewing fraud patterns, interpreting complex datasets, and helping improve investigative outcomes., Analyze large datasets to identify unusual behavior, emerging fraud trends, and potential risk indicators. Review suspicious activity and translate findings into clear insights that support fraud prevention and investigative actions. Partner with fraud, operations, and business teams to develop reporting that improves visibility into high-risk activity. Examine transaction and behavioral data to uncover patterns that may indicate fraudulent conduct. Create dashboards, summaries, and recurring reports that help stakeholders monitor fraud-related performance metrics. Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources. Recommend analytical approaches that enhance anti-fraud monitoring and strengthen detection capabilities.