URBN Fraud Data and Reporting Analyst

Urban Outfitters - Philadelphia, PA

Full-time - Mid Level

Philadelphia, PA

Clothing, Clothing Accessories, Shoe, and Jewelry Retailers

About the position

URBN is seeking a Fraud Data and Reporting Analyst to join the Global Supply Chain Organization. This role focuses on compiling, analyzing, and summarizing fraud data to provide insights into fraud trends and key performance metrics. The analyst will support the ecommerce fraud team and assist in the monthly financial close process related to fraud. The position requires strong analytical skills and the ability to work independently in a fast-paced environment.

Responsibilities

• Support the organization's overall fraud monitoring, detection, and mitigation efforts.
• Function as a main point of contact for fraud escalations and ad hoc reporting requests.
• Research emerging fraud trends by analyzing data and compiling key fraud metrics to proactively identify and address potential risks.
• Provide insights to existing/emerging fraud trends through reporting, to implement new strategies to mitigate emerging fraud threats and vulnerabilities.
• Assist with the development of fraud monitoring strategies, identifying any potential gaps.
• Work closely with cross-functional partners to help improve overall performance of the fraud program.
• Assist with evaluation and development of new external or internal features and processes to improve our fraud detection capabilities.

Requirements

• 2+ years' experience in fraud prevention, risk management, or related fields, including prior experience with data analytics in the finance or retail industry.
• Working knowledge of the fundamentals of the retail business model and an understanding of industry risk trends is a plus.
• Proficiency in MS Office - Excel, Word, PowerPoint, as well as other productivity or BI tools.
• Strong communication skills (written/verbal) with the ability to communicate effectively.
• Detail-oriented with a focus on balancing accuracy and efficiency.
• Ability to effectively interpret and process large amounts of data in Excel and other tools/platforms; familiarity with data visualization tools.
• Excellent organization and time management skills.

Benefits

• Health insurance
• Dental insurance
• Paid time off
• Vision insurance
• Employee discount