Finance Partner, SaaS Revenue & Forecasting

Overleaf Enterprise

New York (NY)

On-site

USD 110,000 - 150,000

Full time

10 days ago

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Job summary

Digital Science is seeking a Finance Business Partner to be the go-to finance expert for the Academic/GFN segment and Sales & Marketing teams in the USA. This full-time role focuses on month-end reporting, revenue tracking, forecasting, and strategic decision support.

The candidate will partner with senior stakeholders to drive disciplined financial planning and continuous process improvements. Based in the Boston or Washington, DC area, you will contribute to robust financial models,

Qualifications

  • Experience in finance partnering across cost and revenue domains.
  • Ability to deliver budgets and forecasts on time and to target.
  • Strong understanding of ARR, sales processes and revenue recognition.

Responsibilities

  • Month End and Monthly Reporting: review accounts, explain variances, provide business commentary.
  • Revenue and ARR: validate revenue and ARR, monitor renewals and non-recurring revenue.
  • Planning and Forecasting: lead cost, revenue and headcount forecasting and budgeting with clear context.
  • Decision Support: build robust analyses, including pricing strategies, business cases and trends.
  • Continuous Improvement: drive better processes, share best practices, and automate where possible.

Skills

Finance partnering
Forecasting & budgeting
Revenue recognition
Variance analysis
Stakeholder management
Data-driven decision making

Tools

NetSuite
Anaplan

Job description

Digital Science is seeking a Finance Business Partner to be the go-to finance expert for the Academic/GFN segment and Sales & Marketing teams in the USA. This full-time role focuses on month-end reporting, revenue tracking, forecasting, and strategic decision support.

The candidate will partner with senior stakeholders to drive disciplined financial planning and continuous process improvements. Based in the Boston or Washington, DC area, you will contribute to robust financial models,

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