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
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
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
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

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

Finance Data Analyst

Key skills