Senior Data Analyst (Fraud)

5+ years of experience in data or analytics roles (fraud, risk, trust & safety, or credit/collections domains are a bonus) 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 Comfortability working with messy, event-level product data across mobile and web

Analyzing complex datasets to identify patterns of fraudulent behaviour and generate actionable insights Building and maintaining dashboards and reporting solutions for fraud monitoring Collaborating with cross-functional teams to inform product roadmap and operational decisions Investigating anomalies and support root cause analysis for fraud incidents Supporting development and testing of fraud rules Advocating for data quality, governance, and best practices Communicating findings clearly to stakeholders Independently identifying high-impact business problems and develop data-driven solutions