Data Engineering Analyst Lead/Scientist

Experian is a global data and technology company that helps redefine lending practices and uncover fraud. They are seeking an experienced Data Engineering Analyst Lead/Scientist to transform raw data into valuable consumer features that guide decisions across the credit lifecycle.

Responsibilities:

• Engineer and validate consumer-level attributes from credit bureau and alternative data sources
• Apply statistical techniques to uncover insights and improve predictiveness
• Monitor attribute performance for stability, compliance, and accuracy
• Build dashboards and visualizations (Tableau) to communicate findings
• Collaborate with engineering to productionalize prototypes into scalable solutions
• Partner with product, risk, and business teams to maximize impact across marketing, risk assessment, and collections
• Engage with clients to explain analytics and translate technical results into applicable business insights

Requirements:

• Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science)
• 5+ years in data science or advanced analytics within credit or financial services
• Strong Python and SQL skills; experience with Tableau or similar BI tools
• Experience with credit bureau and alternative data
• Experience designing and deploying consumer attributes for production
• Client-facing experience in analytics or credit risk
• Familiarity with AWS or other cloud platforms
• Knowledge of regulatory compliance and data privacy in credit contexts