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Experian

Data Engineering Analyst Lead/Scientist

Experian

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USA Full-time $100,000 - $150,000 3w ago 44 views
PythonSQLTableauData ScienceAWS

Job Description

### Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. ### 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 that guide decisions across the credit lifecycle, from marketing and acquisition to account management and collections. This is a fully remote position. #### 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. #### 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. - Proficiency in Python and SQL; 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. ### Benefits/Perks: - 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.

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44 viewed 3w ago

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