ANALYST - ERC

Job Description

As a Marketplace Fraud Analyst you will help protect Best Buy and our customers by identifying, investigating, and preventing fraud within our growing Marketplace business. As part of the Enterprise Fraud Response (EFR) team, you'll conduct detailed post-purchase fraud investigations, uncover emerging fraud trends, and use data-driven insights to reduce financial risk and improve operational efficiency.

In this role, you'll analyze large volumes of transaction and claims data, investigate suspicious activity related to deliveries, refunds, returns, and reships, and partner with cross-functional teams to strengthen fraud prevention strategies. You'll also support process improvements, automation efforts, and reporting initiatives that help the team scale its impact and increase fraud cost avoidance.

What you'll do

Investigate Fraud Activity

• Conduct post-purchase fraud investigations involving customer non-receipt claims, refunds, returns, reships, carrier-related issues, and employee-related concerns.
• Review structured and unstructured internal and external data sources to identify fraud indicators and suspicious behavior.
• Make accurate, evidence-based decisions using information from multiple systems and sources.
• Monitor fraud trends and identify new or emerging risks, including evolving fraud tactics such as tracking manipulation and other Marketplace vulnerabilities.

Analyze Data & Drive Insights

• Analyze large datasets to identify patterns, trends, and opportunities for fraud prevention.
• Leverage data-driven insights to improve fraud detection strategies and decision-making.
• Detect anomalies across customer claims, order activity, and operational processes.
• Develop recommendations to strengthen fraud controls and improve overall fraud mitigation efforts.

Manage Fraud Rules & Queue Optimization

• Identify opportunities to improve review queues, processes, and workload distribution.
• Translate investigative findings into actionable fraud rules and mitigation strategies.
• Support both automated and manual fraud review processes.
• Continuously evaluate fraud rule performance and recommend enhancements to improve accuracy and effectiveness.

Reporting & Communication

• Prepare clear and concise reports summarizing investigative findings, emerging trends, and recommendations.
• Build and maintain dashboards, queries, and exception reporting using tools such as SQL, Power BI, Tableau, or similar analytics platforms.
• Present insights and recommendations to partners and stakeholders in both technical and non-technical audiences.

Collaborate & Improve

• Partner with team members and business stakeholders to support fraud prevention initiatives.
• Provide guidance, training, and knowledge sharing related to fraud investigations and claims review processes.
• Contribute to process improvement, automation, and operational excellence initiatives that increase team efficiency and effectiveness.

Basic Qualifications

• 1+ year of fraud, investigations, asset protection, risk, compliance, or related experience.
• 1+ year of experience in e-commerce, retail, customer service, Geek Squad, or a related customer-facing environment.
• 6+ months of experience using SQL (Structured Query Language) in Teradata, Google Cloud Platform (GCP), or similar analytics environments.
• Strong analytical and problem-solving skills with the ability to identify trends, patterns, and anomalies within data.
• Ability to work independently and exercise sound judgment when making decisions.
• Strong verbal and written communication skills with the ability to share insights with both technical and non-technical audiences.
• Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
• Ability to remain adaptable and responsive during periods of high business demand.

Preferred Qualifications

• Bachelor's degree in Data Analytics, Criminal Justice, Finance, Business Administration, Psychology, or a related field.
• Certified Fraud Examiner (CFE) certification or similar professional credential.
• Experience in law enforcement, corrections, investigations, fraud prevention, risk management, or third-party labor environments.
• Experience with fraud detection platforms, case management systems, or investigative tools.
• Experience creating dashboards and visualizations using Power BI, Looker Studio, Tableau, or similar business intelligence tools.
• Experience leveraging data to drive process improvement, automation, or operational efficiencies.

• Competitive pay
• Great employee discount
• Financial savings and retirement resources
• Support for your physical and mental well-being

• Brand: Best Buy
• Job Level: Individual Contributor
• Address Line 1: 7601 Penn Avenue South
• Job Search Categories: Corporate
• Zip: 55423-8500