Data Engineering Analyst Lead/Scientist

Experian

1d • Remote

About The Position

Experian is seeking an experienced Data Engineering Analyst Lead/Scientist to join their Data Intelligence & Attributes team. This team is responsible for transforming raw trade and transaction-level data into high-value consumer features. These features guide decisions across the credit lifecycle, from marketing and acquisition to account management and collections. This is a fully remote position. The role involves engineering and validating consumer-level attributes, applying statistical techniques to uncover insights and improve predictiveness, monitoring attribute performance, building dashboards and visualizations, collaborating with engineering to productionalize prototypes, partnering with product, risk, and business teams, and engaging 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.
• 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.

Nice To Haves

• Familiarity with AWS or other cloud platforms.
• Knowledge of regulatory compliance and data privacy in credit contexts.

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.

Benefits

• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Flexible schedule, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees