JobCubby JobCubby
Sign up
LendNation

Data Analyst

LendNation Lenexa, Kansas, United States

Financial Services · 1,001-5,000 employees

4 h ago
data-analyst Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

The Data Analyst will independently drive end-to-end analytic projects, including defining objectives, extracting data, and performing complex analysis. They will partner with cross-functional teams to quantify risk, identify growth opportunities, and influence strategic decision-making.

What they look for

Data Analysis Data Science Online Lending Fraud Detection Credit Risk R Python SQL SAS Underwriting Portfolio Optimization Marketing Analytics Power BI Tableau Data Modeling Automation

Requirements

Candidates must have 5+ years of experience in online lending, fintech, or consumer credit, with hands-on expertise in R or Python. Strong proficiency in SQL, credit risk analysis, and fraud detection is required to translate complex data into actionable business recommendations.

Full description

QCHI / LendNation is looking for an experienced Data Analyst / Data Scientist to join our Marketing team.

This is an experienced Data Analyst who can independently drive high-impact analysis and shape strategic decisions. This role is not entry-level. The ideal candidate brings proven experience in online lending analytics, fraud detection, and credit risk performance management—preferably in subprime or alternative financial services.

This role owns analytic projects end-to-end: defining objectives, extracting and validating data, performing analysis, presenting findings, and ensuring recommendations are adopted. The individual will partner with underwriting, marketing, product, and external vendors to quantify risk, identify growth opportunities, and improve portfolio performance.

Success in this role means translating complex analysis into clear, persuasive recommendations that directly influence strategy, decisioning, and financial outcomes.

The right candidate will be:

  • Experienced in credit and fraud analytics, not just reporting
  • Able to challenge assumptions and propose analytical solutions
  • Self-directed, accountable, and comfortable prioritizing multiple workstreams

REQUIRED SKILLS and EXPERIENCE:

  • 5+ years analytics experience in online lending, fintech, consumer credit, fraud, or related industry
  • 5+ years hands-on experience using R or Python for data extraction, modeling, automation, and analysis
  • Demonstrated expertise with:
  • Credit risk analysis, segmentation, and underwriting decision support
  • Fraud detection analytics (velocity checks, behavioral/identity risk indicators)
  • Portfolio performance measurement and optimization
  • Online marketing analytics and customer lifecycle performance
  • Strong SQL skills, including SAS
  • Ability to communicate insights visually and verbally to both technical and non-technical audiences (Power BI, Tableau, etc.)
  • Proven ability to drive outcomes and influence leadership through data-based recommendations

Similar roles