Fraud Data Analyst – Insights & Investigations

Pittsburgh Tomorrow; Pittsburgh (Allegheny County); On-site; USD 39,000 - 55,000; Full time

Job summary

Robert Half in Pittsburgh is seeking a Data Analyst to support fraud-focused data initiatives in a Pittsburgh, Pennsylvania-based long-term contract. The role requires turning complex information into clear insights to identify suspicious activity and strengthen anti-fraud efforts.

This position combines analytical problem-solving with investigative support, demanding keen attention to patterns and data quality.

Qualifications

• Experience in data analysis roles with a focus on fraud, risk, or investigative support.
• Ability to interpret complex datasets and uncover meaningful patterns, anomalies, and trends.
• Effective communication skills with the ability to present findings to cross-functional teams.

Responsibilities

• Analyze large datasets to detect unusual trends, irregular transactions, and indicators of potentially fraudulent activity.
• Develop reports and dashboards that translate fraud-related data into actionable findings for business and risk stakeholders.
• Partner with investigation and compliance teams to support case reviews with accurate data analysis and documented insights.
• Examine data sources for consistency and reliability to ensure fraud monitoring outputs are based on high-quality information.
• Identify emerging patterns and recommend adjustments to analytical approaches that improve fraud detection effectiveness.
• Perform ad hoc analysis to answer urgent business questions related to anti-fraud controls, losses, and suspicious behavior.
• Maintain clear records of analytical methods, assumptions, and findings to support auditability and ongoing investigations.

Skills

Fraud analytics

Data interpretation

Attention to detail

Job description

Robert Half in Pittsburgh is seeking a Data Analyst to support fraud-focused data initiatives in a Pittsburgh, Pennsylvania-based long-term contract. The role requires turning complex information into clear insights to identify suspicious activity and strengthen anti-fraud efforts.

This position combines analytical problem-solving with investigative support, demanding keen attention to patterns and data quality.