Senior Financial Analyst

About A2Z Sync

A2Z Sync is building the operating system for U.S. automotive retail — a market measured in trillions, still operating on disconnected, decades-old systems. We replace that friction with the velocity of a single platform, integrating digital insights with in-store operations to deliver transparent transactions for car buyers and increased profitability for dealers.

We are a Series A, SaaS company experiencing tremendous growth. We are transitioning from a traditional SaaS company into an AI-native one — and we are doing it from Denver with a small, sharp team that ships fast and plays hard. This role sits in our Denver office and requires 3 days per week in-office.

Why This Role Exists

Our finance function is small, fast, and forever evolving forward. The infrastructure is in place — automated reporting, a governed data layer, department P&Ls that publish the day the books close. What we need now is someone to own the models and the monthly analysis that run on top of it: the forecast, cost of revenue, margin, and variance work that keeps our numbers right and explains what is moving.

This is a hands-on, build-it role. You will own driver-based models end to end, find the cost trends before they compound, and take manual work out of the monthly cycle so more of your time goes to analysis. You will work directly with the Director of Finance and partner closely with accounting and revenue operations. You won’t be siloed in one slice of the business — this seat touches every line of the P&L.

If you want a role where the models are already built and the questions are already framed, this is not it.

What You’ll Own

Forecasting & Models

Own the models: Build and maintain the driver-based models behind the forecast — subscription revenue, integration costs, hosting, and OPEX. Keep them versioned and auditable.

Monthly forecast updates: Roll actuals into the forecast every month, with a clear record of what changed and why.

Scenario and sensitivity analysis: Stress-test the forecast against ramp, churn, and cost assumptions so we see the range, not just the point estimate.

Headcount and contractor modeling: Model timing, vacancy impact, and fully loaded cost.

Revenue inputs: Partner with revenue operations on go-live timing and churn inputs, and reconcile the revenue forecast to actuals each month.

Cost of Revenue, Hosting & Operating Expense

Integration and vendor costs: Own the analysis behind third-party integration and data costs — a core cost-of-revenue driver of the business. Monitor variance by vendor and flag drift before it compounds.

Hosting cost: Monitor cloud infrastructure spend with in-month early reads, not post-close surprises.

Operating expense: Track software, vendor, and contractor spend against budget; produce department-level opex variance with commentary that explains cause rather than restating magnitude.

Margin analysis: Maintain gross margin by revenue stream, along with unit economics and cost-to-serve models.

Reporting & Variance Analysis

Budget vs. actuals: Deliver company and department-level BVA every close, with review time reserved before distribution.

Variance commentary: Draft the monthly narrative — what moved, why, and what it means for the rest of the year.

Dashboards: Maintain and extend the department dashboard suite so it stays self-serve and always current.

Close support: Partner with accounting on department-level actuals and classification so every number ties across the GL, the platform, and every report that cites it.

Data integrity: Run validation and quality checks across revenue, cost of revenue, and opex before anything leaves finance.

Automate the repetitive: Every hour you take out of the monthly cycle is an hour redeployed to analysis. Find them and take them out — with AI tools, scripts, or better models.

KPIs & Business Insight

KPI reporting: Maintain the company metric set — ARR/MRR, NRR, churn, gross margin, and cost per dealer — with clear definitions and calculations everyone works from.

Monthly KPI pack: Produce the monthly metrics package with trends and a short read on what moved, ready for the Director of Finance to take to leadership.

Unprompted insight: Bring the analysis nobody asked for when the data warrants it — the trend that changes a decision before it shows up in the P&L.

Requirements

What You Bring

• Required
• Bachelor's degree in finance, accounting, economics, or a related field.
• 3–5 years of progressive FP&A, corporate finance, or accounting experience, including direct ownership of a forecast or model.
• Experience in a SaaS, subscription, or recurring-revenue business, with a working command of SaaS metrics — ARR/MRR, NRR, churn, gross margin, and cost of revenue.
• Experience building budget vs. actuals and variance analysis at the department level.
• Advanced Excel / Google Sheets — driver-based modeling, scenario analysis, and large data manipulation (pivot tables, XLOOKUP / INDEX-MATCH).
• Demonstrated ability to build a model someone else can pick up — clean, versioned, and auditable.
• Strong written communication: you can explain a variance in two sentences to someone who does not work in finance.
• Experience using automation in finance workflows, along with curiosity about applying AI tools such as Claude, Gemini, or similar technologies to analysis and process improvement.
• A self-starter: you see a problem, jump on it, and can take an undefined question and come back with a framework.
• Strong organizational skills and the ability to juggle competing priorities without dropping balls.
• Able to work 3 days per week on-site in Denver.
• Preferred
• Experience automating a recurring report, model, or reporting process.
• Prior experience at a high-growth startup, technology company, or SaaS environment.
• Background in automotive retail, dealer technology, or another vertical SaaS with usage- and implementation-driven revenue.
• Experience with our stack or similar tools: Rillet, Ramp, HubSpot, BambooHR, Carta.