Fraud & Revenue Protection Specialist

Tidal Wave Auto Spa; United States; On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Health coverage

401(k) plans

Paid time off

Company holidays

Life insurance

Job summary

Tidal Wave Auto Spa is seeking a detail-oriented Fraud Analyst & Revenue Protection Specialist to safeguard company revenue by identifying fraud, analyzing trends, and delivering actionable insights to leadership. You will monitor refunds, discounts, cancellations, and sales anomalies while contributing to system improvements.

The role requires strong data skills with Power BI and Excel, thorough investigations across systems, and collaboration with HR and operations to drive policy enforcement

Qualifications

• Strong analytical and problem-solving skills with high attention to detail.
• Experience with data analysis tools and translating findings into actionable insights.
• Ability to interpret complex datasets and communicate results clearly.
• Experience in fraud analysis, auditing, loss prevention, or revenue protection preferred.

Responsibilities

• Fraud Analysis & Revenue Protection: Monitor and analyze fraud-related activity, including refunds, discounts, cancellations, and sales anomalies.
• Conduct in-depth investigations across multiple systems to identify suspicious behavior and compliance gaps.
• Compile clear, data-driven reports to support leadership decisions and policy enforcement.
• Identify trends, risks, and patterns to proactively mitigate fraud and protect revenue.
• Partner with leadership and HR to address findings and recommend corrective actions.

Skills

Fraud analysis

Data analysis

Communication

Attention to detail

Tools

Power BI

Excel

QuickBase

Job description

Tidal Wave Auto Spa is seeking a detail-oriented Fraud Analyst & Revenue Protection Specialist to safeguard company revenue by identifying fraud, analyzing trends, and delivering actionable insights to leadership. You will monitor refunds, discounts, cancellations, and sales anomalies while contributing to system improvements.

The role requires strong data skills with Power BI and Excel, thorough investigations across systems, and collaboration with HR and operations to drive policy enforcement