Commercial Analyst

Summary

Join Patrianna, a company passionate about creating exceptional gaming experiences, as a Commercial Analyst. You will leverage your analytical skills in the online gaming or gambling industry to optimize payment processes, identify fraud patterns, and provide data-driven insights. Your work will enhance customer experience, boost operational efficiency, and safeguard revenue. You will collaborate with various teams, develop and maintain data dashboards, and deliver regular reports on key performance indicators. This role requires strong analytical skills, proficiency in SQL, and experience with data visualization tools. If you are passionate about turning data into actionable strategies, this is the ideal opportunity for you.

Requirements

• Proficiency in SQL is required
• Experience with data visualization tools (Tableau, Power BI, Looker)
• Previous experience in the online gaming or gambling industry, desired experience in payments or fraud analytics
• 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

• Collaborate with the casino team to understand their business objectives, define key performance indicators (KPIs), and prioritize dashboard enhancements
• Develop and maintain SQL queries to extract and manipulate data from various databases and sources
• 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
• Analyse 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