Senior Financial Analyst
Senior Financial Analyst
Posted yesterday
SENIORITY
Senior
About the role
- Maintain and extend the company's financial model, revenue forecasting, expense tracking, cash flow projections, and runway analysis.
- Prepare and maintain the board reporting package, including operating metrics, financial performance, and pipeline analysis.
- Support fundraising with investor-grade financial models, scenario analyses, and data room preparation
- Track unit economics at the company level: customer acquisition cost, lifetime value, gross margin by segment, and contribution margin by hospital
- Own the annual budget process and periodic reforecasting alongside the Director of Finance, including model design, working sessions with department leads, and variance analysis.
- Build and maintain financial reporting and analytics in Sigma, including monthly management reporting, KPI dashboards, and self-service views for internal stakeholders. Customer-Facing Financial Modeling (~30%)
- Build and maintain the EBITDA lift models and unit economics frameworks we present to enterprise prospects
- Develop custom financial proposals for corporate veterinary networks, modeling care plan economics at varying adoption levels, plan designs, and fee structures
- Model revenue recognition mechanics for enterprise customers: ASC 606 allocation, consumption-based recognition for discrete services, straight-line amortization for unlimited services, and breakage timing
- Build pricing scenarios and rebate structures for enterprise negotiations, modeling the impact on both Nest's margins and customer economics
- Join customer conversations when prospects want to pressure-test the numbers. You will be in the room when a CFO asks hard questions about incrementality and ROI.
- Analyze portfolio performance data: pre-post spend lift, visit frequency, cancellation rates, breakage, and payment capture across Nest's hospital base
- 4-7 years in financial analysis, FP&A, investment banking, consulting, or a finance role at a SaaS or healthtech company.
- Strong SQL fluency - you can write your own queries against a warehouse (BigQuery, Snowflake, or similar) without waiting for a data team.
- Working fluency in at least one BI tool (Sigma, Looker, Tableau, Power BI) with the ability to build and maintain reports. Sigma experience a strong plus.
- Exceptional Excel and financial modeling skills. Your models need to be clean, auditable, and presentation-ready.
- Understanding of SaaS economics: ARR, retention, LTV, CAC, and the accounting concepts underneath them.
- Familiarity with or willingness to learn revenue recognition principles (ASC 606) and subscription billing mechanics
- Comfort presenting financial analysis to external audiences, including enterprise CFOs and procurement teams
- Strong attention to detail and ability to work with large datasets across multiple sources
- Experience with Stripe, QuickBooks, or similar billing and accounting platforms is a plus What Sets You Apart
- You're genuinely curious about how businesses work, asking why a number is what it is before you accept it and following the trail until the answer makes sense
- You're comfortable operating in ambiguity, taking a vague question, defining the problem, structuring the analysis, and coming back with something useful
- You care about how your work is read, not just whether it's correct, creating models that are legible, analyses that anticipate the next question, and meeting audiences where they are
- You are familiar
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
