Senior Financial Analyst (SaaS)

Location: 100% remote anywhere in the United States

Company

hirify.global provides data integrity software, data enrichment products, and strategic services for global organizations.

What you will do

• Serve as the finance lead for Sales and provide data-driven insight to go-to-market leadership.
• Own monthly reporting and analysis covering ARR, new and renewal bookings, retention, pipeline coverage, and sales productivity.
• Support annual go-to-market planning, including sales capacity modeling, headcount and quota setting, and sales compensation analysis.
• Own the month-end review process, including variance analysis and identification of risks and opportunities against plan.
• Automate and improve financial processes using Workday Adaptive Planning, Excel, and AI productivity tools.
• Support ad hoc financial projects and strategic initiatives while partnering with executives and cross-functional teams.

Requirements

• Degree in Business, Finance, or Accounting, or equivalent work experience.
• 3–5 years of relevant FP&A experience in financial modeling, forecasting, and reporting.
• Experience as a finance business partner for Sales or a go-to-market organization.
• Advanced Microsoft Excel skills, including complex formulas and modeling techniques.
• Experience working with CRM and bookings data, such as Salesforce or an equivalent system.
• Experience using AI productivity tools such as Claude and Microsoft Copilot.

Nice to have

• Experience with sales quota, capacity, or compensation analysis.
• Experience with Workday Adaptive Planning.
• SaaS industry experience, including ARR, gross and net retention, and bookings-to-revenue dynamics.
• Experience in private equity or venture-backed companies.

Culture & Benefits

• Work-from-anywhere culture within the United States and a distributed environment.
• Career development, learning, and community-building opportunities.
• Collaboration with Sales, Sales Operations, Marketing leadership, the CFO, and senior executives.
• Use of generative AI tools to accelerate work, improve quality, and automate low-value tasks.