Revenue Strategy & Forecasting Analyst

Join Samba, a leading company in the ad-tech and media measurement industry. As a Revenue Strategy & Forecasting Analyst, you will play a crucial role in driving revenue growth and ensuring accurate revenue performance measurement. You will work closely with senior leadership, collaborate with various teams, and navigate the complexities of our business. This is a high-visibility role that offers opportunities for professional growth and impact.

• Own the forecasting function for the Revenue Operations team, ensuring accurate measurement and communication of revenue performance.
• Collaborate with the Revenue organization to develop and analyze revenue programs, working closely with cross-functional teams to ensure alignment.
• Build and maintain forecast models that triangulate signals from various sources, proactively identifying risks and upsides in the forecast.
• Exceptional written and verbal communication skills: you can take a complex, multi-dimensional analysis and reduce it to two or three sentences that drive a decision
• Proven ability to work with messy, inconsistently structured, or late-arriving data: you have a methodology for handling data quality issues and communicating uncertainty without losing your audience
• Experience working across multiple revenue model types — consumption/project-based and subscription — and an understanding of how they differ in forecasting, planning, and performance measurement
• Comfortable presenting directly to executives and defending your analysis when challenged — with data, not defensiveness
• Deep proficiency in Excel and/or Google Sheets: you can build, audit, and stress-test complex multi-tab models from scratch without hand-holding
• Ability to read and interpret contract terms — minimum commitments, consumption schedules, renewal provisions, expansion rights — and understand how they affect revenue timing, recognition, and forecast behavior
• Hands-on experience using AI tools — including Claude, Gemini, or comparable LLMs — to accelerate analysis, automate workflows, or improve the quality of written output; you treat AI as a core part of your workflow, not an afterthought
• Strong data visualization skills: you build dashboards that are polished, maintainable, and designed for executive audiences
• BA/BS in Finance, Economics, Data Science, Business, or a related analytical field from a top tier university
• Hands-on Salesforce experience: you understand pipeline structure, deal stages, and CRM data deeply enough to interrogate it, not just report from it
• High ownership mentality: you define the problem, structure the analysis, and deliver a point of view — you don’t wait to be told exactly what to build
• 3–5 years of experience in Investment Banking, Management Consulting, FP&A, Revenue Strategy or a similar analytically rigorous role
• MBA from a top program
• Experience at an ad-tech, media measurement, or data-driven SaaS company
• SQL proficiency for querying data warehouses directly, reducing reliance on pre-built extracts
• Familiarity with revenue intelligence platforms (e.g., Clari, Gong) or financial planning tools (e.g., Prophix, Adaptive Insights)
• Prior experience supporting a business that operates across both consumption/project and subscription revenue models simultaneously
• Experience supporting a scaled sales organization (50+ reps) through a period of rapid growth or significant product expansion
• A track record of going beyond standard tools — coding with AI tools, prompt engineering, developing AI-assisted models that meaningfully improve speed or analytical depth