Original listing text, shown exactly as published by the company.
Key Responsibilities
Data Extraction & Analysis
- Write, optimize, and maintain complex SQL queries to extract and analyze data across loan originations, portfolio performance, payment activity, and merchant transactions
- Build and maintain clean, reliable datasets and data pipelines to support recurring finance and risk reporting
- Perform ad hoc analyses to answer business questions across the credit, product, and finance teams
Financial & Portfolio Reporting
- Support the finance team with data pulls for monthly reporting, investor updates, and board materials
- Analyze portfolio-level metrics including origination volumes, delinquency rates, loss rates, prepayment speeds, and cohort performance
- Build and maintain dashboards in BI tools (Looker, Tableau, or similar) to give stakeholders real-time visibility into key metrics
Product & Risk Collaboration
- Partner with the Risk team to pull and analyze credit performance data, underwriting outcomes, and loss trends
- Work with the Product team to instrument new features, track performance metrics, and assess the financial impact of product decisions
- Translate raw data into clear, actionable insights for non-technical stakeholders
Data Infrastructure
- Use Python to automate recurring data pulls, reporting workflows, and manual finance processes to improve efficiency and reduce operational overhead
- Partner with engineering to understand data models, ensure data quality, and flag anomalies
- Help build and document a scalable data foundation for the finance function
Qualifications
- Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field
- 2–4 years of experience in a data analyst, financial analyst, or similar role
- Strong SQL skills — comfortable writing complex queries, joins, window functions, and aggregations
- Proficiency in Python for data analysis and process automation (pandas, numpy)
- Experience with BI tools such as Looker, Tableau, or Power BI
- Familiarity with consumer lending, fintech, or financial services data is a strong plus
- Ability to work cross-functionally and communicate data findings clearly to finance, risk, and product stakeholders
- Detail-oriented, intellectually curious, and comfortable working in a fast-paced startup environment
