Senior Data Analyst (Fraud)

Data Analysis:

• Analyzing complex datasets to identify patterns of fraudulent behavior.
• Designing and building dashboards and reporting solutions for fraud monitoring.
• Ensuring the quality, integrity, and reliability of fraud-related data.

Collaboration and Communication:

• Collaborating with cross-functional teams to deliver analytics projects.
• Communicating findings clearly to technical and non-technical stakeholders.
• Participating in daily and weekly fraud syncs to stay aligned on priorities.

Technical Skills:

• Advanced proficiency in SQL for data analysis.
• Experience with large, complex datasets in modern data warehouse tools.
• Proven track record of owning ambiguous problem spaces end-to-end.