Fraud Analyst

Role Overview

As a Fraud Analyst (Contractor) at TEKsystems, you will work closely with senior team members within a large retail client's Risk Management team. This team is responsible for identifying, analyzing, and mitigating financial and operational risks across various domains including ecommerce, retail, internal systems, and operational processes. Your role specifically supports fraud-prevention initiatives by leveraging data tools, investigative approaches, and real-time fraud-monitoring systems to protect customers, internal teams, and company assets. This position is ideal for individuals with strong analytical skills, clear communication abilities, and a natural curiosity for fraud patterns and risk detection.

Key Responsibilities

Fraud Detection & Investigations

• Analyze data using SQL and reporting dashboards to identify anomalies, inconsistencies, or potential fraud.
• Review alerts from real-time, machine-learning-driven fraud tools and assess potential risk.
• Conduct structured investigations using internal systems and cross-departmental information sources.
• Support requests for investigative analysis from partner teams, summarizing findings in a clear and actionable format.
• Perform monthly audits and present observations to leadership.

Analysis & Reporting

• Use SQL to extract, join, and analyze large datasets for fraud detection and trend identification.
• Utilize Excel (pivot tables, formulas, validation) to support documentation and casework.
• Convert large, complex datasets into clear insights and recommended mitigation steps.
• Identify opportunities to enhance investigative workflows and fraud-prevention controls.

Cross-Functional Collaboration

• Partner with internal groups such as Fraud Controls, Asset Protection, Analytics, and Engineering to support fraud-related initiatives.
• Assist in preparing reports for leadership that highlight risk trends and key findings.
• Support subpoena or information-request processes in partnership with legal or compliance teams when needed.

Required Qualifications

• Foundational SQL experience with the ability to write queries for extraction, joining, and validation.
• Strong Excel proficiency, including pivot tables, formulas, filters, and data-quality analysis.
• Ability to review and interpret outputs from real-time or machine-learning fraud systems.
• Strong analytical and problem-solving skills with the ability to identify patterns in complex data.
• Excellent written and verbal communication skills.
• High attention to detail and adherence to established documentation standards.
• Self-directed, curious, and motivated to learn new tools and fraud-detection methods.

Nice-to-Have Qualifications

• Experience with Azure Databricks or other SQL-driven big-data environments.
• Familiarity with Power BI or similar dashboard/visualization tools.
• Bachelor’s degree in analytics, finance, criminal justice, information systems, or a related field—or equivalent practical experience.
• Experience in ecommerce, online fraud, or digital risk environments.

Key skills/competency

• SQL
• Excel Pivot Tables
• Fraud Investigation
• Fraud Analysis
• Risk Management
• E-commerce
• Data Analysis
• Machine Learning Fraud Systems
• Financial Risk
• Auditing