FP&A Manager, Cognism

• 5-8 years’ FP&A, strategic finance, commercial finance or related experience in a SaaS / recurring revenue environment
• Strong financial modelling, forecasting and analytical skills; able to independently own major forecast workstreams
• Hands-on experience with SaaS metrics such as ARR, NRR, churn, CAC, LTV and pipeline productivity
• Proven ability to create clear performance insights and communicate them to senior stakeholders
• Experience supporting monthly reporting, budgeting cycles and KPI management
• Excellent cross-functional partnering skills across GTM, Product, CS and Ops
• Strong attention to detail, problem-solving ability and a highly proactive working style

Desirable

• We’re looking for a highly analytical, hands-on FP&A Manager to support Cognism’s planning, forecasting, reporting and performance analytics
• You’ll play a critical role in building accurate forecasts, producing insightful analysis and strengthening our KPI framework for a global SaaS business. The role works closely with the VP of FP&A and collaborates across GTM, Product, CS, RevOps and Business Intelligence to drive better decisions and operational performance
• Support Cognism’s company-wide forecasting, budgeting and long-range planning processes
• Own key components of the forecast model (e.g. GTM, CS, Product, OPEX) and deliver accurate, timely projections
• Prepare monthly reporting, variance analysis and performance commentary for leadership
• Maintain and improve Cognism’s SaaS KPI framework, including ARR, churn, CAC, LTV, payback and productivity metrics
• Partner with BI to build automated dashboards and improve data quality across core systems
• Conduct scenario modelling and ad-hoc analysis for strategic initiatives, hiring plans, pricing and investment decisions
• Provide business partnering to department leads, supporting planning, performance reviews and ROI analysis
• Improve FP&A processes, reporting automation and the consistency of data across Salesforce, NetSuite, Maxio and BI tools