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Data Analyst, Credit Analytics

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Upstart
Remote/Work from Home position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Finance & Banking
Job Description & How to Apply Below
Position: Staff Data Analyst, Credit Analytics

Employer Industry: AI Lending Marketplace

Why consider this job opportunity
  • Competitive compensation package including base salary, bonuses, and equity
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions
  • 401(k) plan with 100% company match up to $4,500 and immediate vesting
  • Generous holiday, vacation, sick leave, and supportive parental and military leave programs
  • Flexible remote work opportunity with the option to collaborate in-person periodically
  • Engaging social activities and employee resource groups fostering community and collaboration
What to Expect (Job Responsibilities)
  • Collaborate with Data Analytics, Machine Learning, Product, Engineering, and Finance teams to shape credit metrics and narratives
  • Influence decisions and identify opportunities within Upstart’s credit platform through in-depth analytics
  • Lead and develop analytics on underwriting decisions, credit monitoring, and valuation modeling
  • Build foundational forecast models, data pipelines, and automated reporting for credit intelligence
  • Mentor junior team members on best practices in data, credit, and analytics
What is Required (Qualifications)
  • Minimum of 6 years of professional experience in technology and financial industries
  • Expertise in credit analytics and quantitative financial model development using Python, R, and SQL
  • Experience in data modeling and decision-making supported by large datasets with tools like Databricks and Snowflake
  • Degree in Economics, Statistics, Engineering, Data Science, or other quantitative fields
  • Strong analytical skills with the ability to craft narratives around complex business topics
How to Stand Out (Preferred Qualifications)
  • Ability to work collaboratively with cross-functional teams, especially in Finance, Product, and ML
  • Experience in consumer lending strategy or investment in consumer credit capital markets
  • Proficiency in creating executive-ready narratives using visualization tools like Tableau or PowerBI
  • Experience coaching and mentoring junior team members on technical subjects
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