Senior Data Analyst

**Key Responsibilities**
- **Data Exploration & Query Development (80%)**: Design, code, and test fraud lead generation scenarios using advanced tools like **SQL**, **Snowflake**, and **SAS**.
- **Analytical Frameworks**: Define and execute analytical approaches to evaluate potential **Billing & Payments fraud** leads.
- **Strategic Communication**: Collaborate with **Fraud Hub leaders**, **Data Science**, and **Reporting teams** to integrate insights into dashboards and modeling solutions.
- **Operational Storytelling**: Lead updates for the **Monthly Operational Review (MOR)**, using data-driven storytelling to highlight performance drivers and actionable recommendations.
- **Coding Standards & Reusability**: Establish best-in-class coding practices, document domain-specific expertise, and promote a “build-once-reuse-many” framework.
**Skills & Qualifications**
- **Bachelor’s degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Comp...