Responsibilities include:

• Defining and evaluating key metrics and understanding what moves them and why

• Ownership of conceptualizing, developing, and maintaining dashboards and visualizations

• Investigating evolving fraud trends to extract patterns, identify root causes and propose actionable solutions

• Communicating analyses and recommendations to cross functional stakeholders for decision making

• Empowering the team to answer data questions quickly and easily by building high-quality ground truth data sets

Here are example traits we value:

• Professional industry experience in a quantitative analysis role (7+ years preferred)

• Comfortable in SQL and some experience with a programming language (Python or R a plus)

• Ability to communicate clearly and effectively to cross functional partners of varying technical levels

• Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights

• Experience or willingness to learn tools to create data pipelines using Airflow

• Building clear and easy to understand dashboards (Tableau) and presentations