Job Description:
We are seeking a highly experienced Senior Financial Analyst to perform revenue projection and forecasting activities for a new business segment, with a strong emphasis on software revenue modeling and analytics. This role will partner closely with Sales and Revenue Accounting, and cross-functional stakeholders to deliver accurate revenue forecasts, actionable insights, and support strategic business decisions. The ideal candidate brings 10+ years of experience in financial analysis, deep expertise in software revenue dynamics, and strong proficiency in data analytics, Excel, and modeling tools.
Key Responsibilities
• Revenue Forecasting & Analysis
• Perform revenue projection and forecasting processes for a new platform business
• Develop and maintain detailed forecasting models, incorporating pipeline, bookings, renewals, and backlog
• Partner with Sales and Business Units to validate assumptions and improve forecast accuracy
• Analyze variance drivers (e.g., bookings, churn, pricing, deal structure) and provide clear executive insights
Business & Commercial Support
• Support quarter-end close, weekly forecast cycles, and LTG analysis
• Provide revenue timing and risk assessment
• Collaborate with Deal Desk to evaluate pricing, terms, and revenue impact
• Identify risks and opportunities to optimize revenue outcomes
Qualifications and Requirement
• 10+ years of experience in Sales Finance, or Revenue Analytics
• Strong experience with software revenue models (e.g., subscription, term license, SaaS, ratable revenue)
• Advanced proficiency in Microsoft Excel (complex modeling, pivot tables, scenario analysis)
• Strong analytical and problem-solving skills with the ability to translate data into business insights
• Proven ability to work cross-functionally and influence senior stakeholders
• Familiarity with revenue recognition concepts (ASC 606) and deal structuring impacts
Preferred
• Experience with data analysis tools (e.g., Power BI, Tableau, SQL, Python, or similar)
• Experience in high-tech / software industry environments
• Exposure to forecast automation or model optimization initiatives
Key Competencies
• Strong business acumen and commercial mindset
• High attention to detail and data accuracy discipline
• Ability to operate in a fast-paced, matrixed environment
• Clear and concise executive communication skills