Home › Companies › Experian › Data Engineering Analyst Lead/Scientist - Remote
Data Engineering Analyst Lead/Scientist - Remote
Experian · United States, UNITED STATES, United States · Remote · Active · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Experian |
| Title | Data Engineering Analyst Lead/Scientist - Remote |
| Normalized title | - |
| Department / team | Analytics |
| Location | United States, UNITED STATES, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-05-12 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Experian. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in United States. | Open |
| Department jobs | Active postings in Analytics. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Experian |
| Source | 79a69cbb-9787-49cb-87f6-fbb07030771b |
| ATS provider | SmartRecruiters |
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.
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.
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: https://yourexperianbenefits.com/cand-index.html
#LI-Hybrid
Full job record
| Job ID | 90c9d9fbacfb580d8bb6c51dd732e9f7605b94d4 |
| Org ID | 4b00b699-a9e3-49cf-bceb-930c43fe520b |
| Source ID | 79a69cbb-9787-49cb-87f6-fbb07030771b |
| Board ID | 79a69cbb-9787-49cb-87f6-fbb07030771b |
| Provider | smartrecruiters |
| Provider Job Key | 744000126164119 |
| Title | Data Engineering Analyst Lead/Scientist - Remote |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | United States, UNITED STATES, United States |
| Department | Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | UNITED STATES |
| City | United States |
| Salary Raw | 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. 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. 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: https://yourexperianbenefits.com/cand-index.html #LI-Hybrid |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.smartrecruiters.com/Experian/744000126164119-data-engineering-analyst-lead-scientist-remote |
| Apply URL | https://jobs.smartrecruiters.com/Experian/744000126164119-data-engineering-analyst-lead-scientist-remote?oga=true |
| First Seen At | 2026-05-31 17:40:28Z |
| Last Seen At | 2026-06-06 10:43:49Z |
| Last Checked At | 2026-06-06 10:43:49Z |
| Last Changed At | 2026-05-31 17:40:28Z |
| Inactive At | — |
| Source Posted At | 2026-05-12 20:16:31Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=experian/date=2026-06-06/2026-06-06T10-43-37-893Z-6f15364258bc991f75773abfb2722a45660704d64697cd024d5e63043ecc2dea.json |
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