Data Engineering Analyst Lead/Scientist - Remote

Remote • Posted 5 hours ago • Updated 5 hours ago
Full Time
Remote
USD $115,747.00 - 208,344.00 per year
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Job Details

Skills

  • Health Care
  • Insurance
  • Acquisition
  • Account Management
  • Reporting
  • Data Engineering
  • Dashboard
  • Collaboration
  • Prototyping
  • Marketing
  • Risk Assessment
  • Collections
  • Statistics
  • Economics
  • Computer Science
  • Data Science
  • Advanced Analytics
  • Financial Services
  • Python
  • SQL
  • Tableau
  • Business Intelligence
  • Customer Facing
  • Analytics
  • Credit Risk
  • Amazon Web Services
  • Cloud Computing
  • Regulatory Compliance
  • Privacy
  • Law

Summary

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

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.

Qualifications
  • 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.

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Explore all our exciting benefits here: ;br>
#LI-Hybrid
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL142028
  • Position Id: 8f0a50a60cd564c3f7dd65acb0319a74
  • Posted 5 hours ago
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