Tech Stack

Description

As a Staff Data Analyst on the Fraud Risk team, you will analyze large datasets to develop fraud detection systems and inform product strategy. You will design scalable data solutions, build predictive models, and lead analytics projects to reduce fraud rates. Collaborate with cross-functional teams to translate data insights into actionable strategies.

Requirements

• Bachelor's degree in Computer Science, Statistics, Data Science, Finance or related field (Master's preferred)
• 8+ years of experience in data analytics (cloud or infrastructure domain preferred)
• Advanced SQL and Python (or R) for data analysis and modeling
• Experience with BI tools (Tableau, Superset, Power BI, Redash)
• Experience with large datasets and robust data pipelines

Responsibilities

• Develop business decision systems to reduce fraud rates
• Analyze data to provide insights and develop key metrics
• Communicate reports and algorithm details to technical and non-technical stakeholders
• Prioritize metric development requests and lead junior analysts
• Collaborate with stakeholders to identify project requirements and deliver high-quality work on time