Salary
💰 $130,000 - $150,000 per year
About the role
- Build and own financial models: multi-scenario revenue models, three-statement models, and operating cadence for monthly/quarterly close.
- Analyze unit-economics and marketplace KPIs: technician supply metrics, fill/acceptance rates, time-to-dispatch, average order value (AOV), take-rate, gross profit, revisits, etc. Translate to actionable recommendations for management.
- Prepare and present monthly financial/business reviews and executive decks for the CFO, Executive Team and board — produce clear storylines and actionable recommendations.
- Lead budgeting, forecasting, and long-range planning (3–5 year planning); stress-test scenarios (supply constraints, pricing changes, marketplace elasticity).
- Support commercial finance partnering with Sales/CS: pricing analyses, deal economics, margin expansion, and pipeline / bookings cadence.
- Partner with Product & Data to enhance analytical infrastructure — own data requirements, validate metrics, automate reporting (SQL/Tableau).
- Support M&A / strategic diligence workstreams and ad-hoc analyses (TAM, competitor comps, integration scenarios) as needed.
- Mentor other analysts and help formalize FP&A processes and docs.
Requirements
- 4–7+ years of experience in FP&A, corporate finance, or closely related roles (experience at a marketplace, SaaS, or high-growth tech company highly preferred). Equivalent experience at a mid-market private equity firm (associate level) also fits if motive is to operate in a company.
- Strong financial modeling skills — three-statement, cohort, LTV/CAC, sensitivity and scenario modeling.
- Advanced Excel skills; SQL for analytics and familiarity with a BI tool (e.g. Looker/Power BI/Tableau).
- Comfortable with ambiguous problems; can distill quantitative analysis into crisp management recommendations.
- Excellent communicator — experience preparing executive and board-level materials. You need to be able to tell a “story”
- Operator mentality: partner across teams, move quickly, and balance rigor with timeliness.
- Bias for actionable insights: don’t just present numbers — recommend specific tests or operational changes.
- High ownership and curiosity: build the metrics the company needs before leadership asks.
- Comfortable influencing without authority and translating technical analysis into commercial language.
- Bachelor’s degree in Finance, Accounting, Economics, or similar; MBA or CPA is a plus but not required.