Senior Data Analyst (Fraud)

5+ years of experience in data or analytics roles, preferably in fraud, risk, trust & safety, or credit/collections Advanced proficiency in SQL for data analysis Experience working with complex datasets in modern data warehouse and transformation tools (e.g., Snowflake, dbt) Experience with at least one BI/dashboarding tool (e.g. Looker, Amplitude, Tableau) Proven track record of owning ambiguous problem spaces end-to-end Excellent communication and data storytelling skills Demonstrated ability to partner cross-functionally High degree of ownership and urgency Comfortability working with messy, event-level product data

Analyze complex datasets to identify patterns of fraudulent behavior Build and maintain dashboards and reporting solutions for fraud monitoring Collaborate with cross-functional teams to deliver analytics projects Investigate anomalies and support root cause analysis for fraud incidents Support development and testing of fraud rules Advocate for data quality, governance, and best practices Communicate findings clearly to technical and non-technical stakeholders Participate in fraud syncs and sprint planning Independently identify high-impact business problems and develop data-driven solutions