ABOUT THE ROLE Procurify is looking for a curious, proactive, and data centric person who is passionate about supporting strategic decision making. We’re looking for a talented and team-driven Senior FP&A Analyst to join us on our journey. Procurify is the AI-enhanced procurement and AP automation platform for the mid-market. We make it easy for organizations to take control of spend and save money. Everyone at Procurify is a team player. A big part of this role involves building relationships internally and driving adoption of new tools, metrics, or processes. We’re seeking entrepreneurial people who are willing to challenge the status quo and contribute to larger strategic objectives. You are a person with a knack for detail, and you’re motivated by helping our internal customers achieve the best version of themselves. What you’ll be working on: Build and maintain driver-based operating models tied to business assumptions (headcount, ARR growth, pipeline) Perform meaningful and in-depth financial analysis on current and future financial performance, which includes but is not limited to budget variance analysis, standard monthly, quarterly and annual financial analysis. Champion the adoption of AI and LLM-powered workflows across the team by defining best practices, identifying high-impact use cases, and enabling knowledge sharing. Drive effective application of AI tools for data analysis, insight generation, and narrative commentary to improve accuracy, increase efficiency, and streamline day-to-day operations. Research and analyze historical, current and projected financial data for use in planning, forecasting and management decision making Partner with broader Finance and RevOps teams to ensure data integrity and consistency across systems Develop automated reporting and dashboards to track key SaaS metrics, providing commentary and actionable insights to support decision making Drive improvements in planning processes, reporting cadence, and tooling Build relationships across the organization to ensure alignment on assumptions, definitions and support storytelling through data Other Ad Hoc duties as assigned
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees