Revenue Strategy & Forecasting Analyst

What you'll do

• Own weekly and monthly revenue forecasting cadence across Audience and Analytics product lines
• Build and maintain forecast models triangulating signals from pipeline stage, historical run-rates, deal velocity, consumption pacing, rep attainment patterns, and contract structure
• Understand contract terms and incorporate their effects into forecast models
• Identify risk and upside in forecasts, communicate assumptions clearly, and drive accountability with Sales leadership
• Continuously refine forecast methodology by tracking variance to actuals and improving accuracy
• Navigate and normalize messy or inconsistently structured data, presenting ranges when appropriate
• Build reporting frameworks that accommodate imperfect or asynchronous data
• Play key analytical role in annual quota-setting, territory design, and headcount capacity modeling
• Build bottom-up and top-down models to stress-test plans across usage and ARR revenue streams
• Develop and maintain sales productivity metrics including quota attainment, ramp-to-productivity, activity-to-outcome ratios, average deal size, and win/loss rates
• Analyze pipeline health and surface early warning signals
• Track and contextualize performance across different product lines with distinct sales motions and deal structures
• Produce recurring pipeline reviews with insight-led narratives for Sales leadership
• Support real-time deal reviews with analytical context for key opportunities and risk accounts
• Collaborate with Finance, Sales leadership, and Marketing to align GTM programs
• Help allocate capacity across product lines with different growth profiles and revenue recognition patterns
• Produce weekly, monthly, and quarterly business reviews synthesizing complex data into decision-ready narratives
• Present findings to senior leadership and defend methodology and assumptions
• Work with sales leaders to drive accountability in goals and objectives

Requirements

• BA/BS in Finance, Economics, Data Science, Business, or related analytical field from a top tier university
• 3–5 years of experience in Investment Banking, Management Consulting, FP&A, Revenue Strategy or similar analytically rigorous role
• Deep proficiency in Excel and/or Google Sheets to build, audit, and stress-test complex multi-tab models
• Hands-on Salesforce experience with deep understanding of pipeline structure, deal stages, and CRM data
• Strong data visualization skills to build polished, maintainable dashboards for executive audiences
• Hands-on experience using AI tools (Claude, Gemini, or comparable LLMs) to accelerate analysis and automate workflows
• Ability to read and interpret contract terms affecting revenue timing, recognition, and forecast behavior
• Experience working across multiple revenue model types (consumption/project-based and subscription)
• Proven ability to work with messy, inconsistently structured, or late-arriving data and communicate uncertainty
• Exceptional written and verbal communication skills to simplify complex analysis for decision making
• Comfortable presenting directly to executives and defending analysis with data
• High ownership mentality to define problems, structure analysis, and deliver points of view independently

Tech stack