Senior Sales Revenue Analyst

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com . About this position: We’re looking for a Senior Sales Revenue Analyst to power the growth engine behind our enterprise sales organization. In a primarily sales-led enterprise motion, revenue predictability depends on precision — in pipeline coverage, rep ramp productivity, quota capacity, and forecasting accuracy. This role ensures our revenue leaders operate with clarity and confidence. You’ll partner directly with our CRO, CCO, VP of Revenue Operations, and Sales Leadership to model team productivity, evaluate headcount ROI, and uncover structural opportunities to improve performance. Your insights will shape hiring plans, territory design, ramp expectations, and enterprise go-to-market strategy. This is a high-visibility individual contributor role for someone who wants to influence strategy — not just report on it. What you'll be doing: Strategy Translate enterprise revenue targets into bottom-up capacity and productivity models that inform hiring and investment decisions Evaluate ramp curves, quota attainment distribution, and tenure mix to identify structural performance opportunities Influence headcount planning, territory design, and quota capacity through data-backed modeling Identify long-term revenue risks and opportunities by connecting pipeline health, coverage ratios, and deal velocity trends Technical/ Execution Own enterprise revenue performance reporting, executive dashboards, and forecasting models Improve forecast confidence by integrating ramp timing, coverage ratios, and conversion metrics into reporting frameworks Analyze pipeline coverage health across segments and territories; proactively flag structural funnel risks Support QBRs, annual planning, and board-level revenue discussions with executive-ready insights Continuously refine SQL queries, Salesforce reporting, and BI dashboards to increase decision speed and accuracy Team / Collaboration Partner closely with CRO, CCO, VP of Revenue Operations, and Sales Leadership as a trusted analytical advisor Collaborate with RevOps and Enablement to identify productivity gaps and recommend data-informed improvements Translate complex revenue data into clear narratives that influence senior stakeholders Build strong cross-functional relationships across Sales, Finance, and Marketing to ensure alignment on revenue strategy Research/Best Practices Continuously evolve revenue modeling frameworks to reflect changes in sales motion and market conditions Benchmark forecasting methodologies and ramp expectations against industry best practices Identify and implement improvements to data hygiene, opportunity stage definitions, and reporting standards Bring a test-and-learn mindset to forecasting and capacity planning models What success looks like: Within 90 Days ● Fully own enterprise revenue performance reporting and forecasting dashboards ● Establish trust with Sales Leadership through clarity, accuracy, and responsiveness ... (truncated, view full listing at source)