Business Analyst - Strategic Finance

Koalafi•Arlington, VA

16h•$101,000 - $131,000

About The Position

Koalafi is seeking a Financial Data Analyst to join its Finance team in a role spanning financial planning and analysis and capital markets. The analyst will own core parts of forecasting and planning cycles, build portfolio- and merchant-level analytics to inform strategic decisions, and support the execution of the company’s funding strategy and lender relationships. The position reports to the Director of FP&A and partners day to day with the VP of FP&A and VP of Capital Markets. The role supports quarterly outlook forecasts and the annual budget and plan, maintains parts of the corporate forecasting model, analyzes portfolio performance, and develops scenarios and variance narratives. It also supports asset-backed debt facilities, lender and investor communications, and credit performance forecasts. Business analytics include merchant- and product-level unit economics, net cash flow analysis, SQL-based data models, dashboards, and reporting. The analyst collaborates across Risk, Accounting, Sales, and Operations and works to improve processes and analytical workflows. The position may be based in Richmond, Virginia; Arlington, Virginia; or remotely in the United States. Associates near an office may work in-office, hybrid, or remotely. Standard working hours are 9 a.m.–5 p.m. ET, with flexibility to accommodate other time zones. The salary range is $101,000–$131,000 per year, depending on experience and location, with eligibility for the company bonus plan.

Requirements

Bachelor’s degree in Finance, Economics, Business, Engineering, or a quantitative field.
2–5 years of experience in data or business analytics, FP&A, strategic finance, capital markets, investment banking, or financial services analytics.
Expertise writing SQL for data analysis, metric reporting and tracking, and dataset creation.
Experience working with large, complex datasets to solve ambiguous, open-ended problems.
Advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and data analysis.
Ability to investigate the reasons behind numerical results, independently identify root causes, and develop actionable insights.
Confidence supporting multiple senior stakeholders and prioritizing competing workstreams.
Excellent written and verbal communication skills, including the ability to distill complex analysis into concise takeaways.
Comfort working in a fast-paced, dynamic environment with ambiguous problems and evolving priorities.

Nice To Haves

Experience in consumer finance, particularly subprime or non-prime lending.
Foundational knowledge of asset-backed lending, securitization, and debt capital markets.
Python experience for financial analysis and forecasting.
Experience using business intelligence tools such as Tableau to build dashboards and track KPIs.
Experience applying AI tools to accelerate analysis and reporting.

Responsibilities

Support quarterly outlook forecasts and the annual budget and plan, covering originations, portfolio performance, and profitability.
Build and maintain components of the corporate forecasting model, including analyses of payment behavior, delinquency roll rates, and charge-offs.
Develop scenario and sensitivity analyses to support strategic decisions and stress-test liquidity positions.
Analyze variances against budget and outlook and explain the drivers to senior leadership.
Support management of asset-backed debt facilities, including covenant monitoring, borrowing-base reporting, and analyses for draws and repayments.
Help prepare investor and lender communications, portfolio analyses, and investor-meeting materials.
Develop credit performance forecasts, including delinquency and prepayment behavior, to inform funding strategy and capital planning.
Research capital markets trends, funding innovations, and peer strategies.
Build merchant- and product-level unit economics and net cash flow analyses to inform pricing, growth, and capital allocation.
Use SQL and large operational datasets to build data models, dashboards, and self-serve reporting.
Support monthly financial review materials and ad hoc analyses addressing executive questions.
Monitor competitor and market performance and synthesize implications for the business.
Partner with Risk, Accounting, Sales, and Operations to align forecasts, metrics, and reporting logic.
Improve processes, automate workflows, and use modern tools, including AI, to increase analytical speed and accuracy.