Data Engineering Analyst Lead/Scientist - Remote

Reposted 3 Days Ago
Hiring Remotely in United States
Remote
Senior level
Big Data • Marketing Tech • Analytics
The Role
As a Data Engineering Analyst Lead/Scientist, you will engineer consumer attributes, apply statistical techniques, build visualizations, and collaborate across teams to maximize impact in financial services.
Summary Generated by Built In
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: https://yourexperianbenefits.com/cand-index.html

#LI-Hybrid

Skills Required

  • Master's degree in a quantitative field
  • 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
  • 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

Experian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.

  • Healthcare Strength Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
  • Leave & Time Off Breadth Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
  • Retirement Support Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.

Experian Insights

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The Company
HQ: Costa Mesa, CA
16,292 Employees
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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