Bi Reporting Payment And Fraud Analyst

Summary

Join Patrianna, a fully remote, international team passionate about crafting exceptional gaming experiences. We are seeking a detail-oriented BI Reporting Payment & Fraud Analyst with online gaming or gambling industry experience. This role involves optimizing payment processes, identifying fraud patterns, improving customer experience, and driving operational efficiency. You will leverage SQL, data visualization tools, and analytical skills to provide actionable insights and support strategic initiatives. The ideal candidate will possess strong analytical skills, attention to detail, and excellent communication abilities. This position is perfect for someone who thrives in a remote-first environment and is passionate about data-driven decision-making.

Requirements

• Proficiency in SQL is required
• Experience with data visualization tools (Tableau, Power BI, Looker)
• Previous experience in the online gaming or gambling industry, particularly in payments or fraud analytics
• Solid understanding of payment processing workflows, fraud typologies, and related industry practices
• Strong analytical mindset and problem-solving ability
• High attention to detail
• Excellent communication and cross-functional collaboration skills
• Ability to work independently in a remote-first environment

Responsibilities

• Leverage SQL to extract, analyze, and interpret large datasets related to payments and fraud
• Design, maintain, and improve interactive dashboards and reports using tools like Tableau, Power BI, or Looker
• Provide actionable insights and regular reporting on payment KPIs, user behavior, A/B testing results, and operational performance
• Analyze transaction flows to identify and address drop-off points and payment failure trends
• Collaborate with payment internal teams to reduce decline rates and enhance transaction success
• Support strategic initiatives to streamline the payment funnel and maximize conversion and revenue
• Analyze and visualize fraud-related trends, including but not limited to: Chargeback fraud, Multi-accounting, Bonus abuse, Identity theft, Money laundering
• Identify emerging fraud patterns through behavioral data and flag anomalies in real time
• Collaborate with fraud and risk teams to develop and implement proactive strategies to mitigate fraud risks
• Provide data-backed recommendations to enhance fraud detection systems, rules, and operational procedures

Preferred Qualifications

Knowledge of Python is a plus