Analyze competitive loan pricing using data from marketplaces, aggregators, and third-party sources
Recommend granular pricing changes based on market dynamics and price elasticity insights
Build models (Python/SQL) to forecast impact on leads, conversion, origination volume, revenue, and margin
Design and analyze experiments to measure pricing and funnel performance
Optimize bidding strategies across partner marketplaces to improve CAC and ROI
Write complex SQL to analyze large datasets and build scalable analytics
Build dashboards and share clear, actionable insights with stakeholders

Requirements

4–6+ years of experience in pricing, growth analytics, data science, or fintech analytics
Strong SQL skills (required) and hands-on Python experience (pandas, numpy, etc.)
Experience with experimentation, modeling, or causal analysis
Ability to turn ambiguous business questions into structured analyses
Strong communication skills and comfort influencing cross-functional partners

Benefits

Hybrid and remote work opportunities
401 (k) with employer match
Medical, dental and vision with HSA and FSA options
Competitive vacation and sick time off, as well as dedicated volunteer days
Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts
Up to $5,250 paid back to you on eligible education expenses
Pet care discounts for your furry family members
Financial support in times of hardship with our Achieve Care Fund
A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonpandasnumpydata analysismodelingcausal analysispricing analysisforecastingexperiment design

Soft Skills

communicationinfluencinganalytical thinkingproblem-solvingcollaborationadaptabilityattention to detailcritical thinkingstakeholder managementstructured analysis