Data Engineering Analyst Lead/Scientist at Experian

You're a data professional with a Master's degree in a quantitative field and over five years of experience in data science or advanced analytics, particularly

Work type: hybrid

Location: United States

Salary: $115,747 – $208,344/yr

Type: Full-time

Summary

You're a data professional with a Master's degree in a quantitative field and over five years of experience in data science or advanced analytics, particularly within credit or financial services. You're adept at leveraging Python and SQL for data manipulation and analysis, and have hands-on experience with credit bureau data. **What makes it worth a look...** Experian is offering a full-time, hybrid role in the United States with a strong compensation package ranging from USD 115,747 to 208,344 annually, plus a bonus plan. The position is fully remote and includes core benefits like medical, dental, vision, and a matching 401K. **You might be a good fit if you...** * Have experience designing and deploying consumer attributes for production environments. * Are proficient in Python and SQL, and familiar with Tableau or similar BI tools. * Have experience with credit bureau and alternative data sources. * Possess familiarity with AWS or other cloud platforms and understand credit-related regulatory compliance.

Job Description

## Job Description
Experian is looking for an experienced Data Engineering Analyst Lead/Scientist to join our Data Intelligence & Attributes team. This team transforms 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. You will report to the Director of Data Engineering.

You will:

• 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.

• 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.


• Familiarity with AWS or other cloud platforms.


• Knowledge of regulatory compliance and data privacy in credit contexts.

• 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

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

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