Senior Sales Revenue Analyst

Senior Sales Revenue Analyst Boston, MA Apply 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 ● Deliver a clear view of pipeline coverage health and ramp productivity trends Within 6 Months ● Influence at least one hiring, territory, or quota decision through data-driven modeling ● Improve forecast confidence by integrating capacity and ramp analysis into executive reporting ● Proactively identify structural funnel risks before they materially impact results Within 12 Months ● Become the go-to analytical partner for enterprise revenue leadership ● Drive measurable improvements in forecasting visibility and productivity insight ● Enable leadership to make faster, smarter decisions about team growth and investment What you bring: 4–6+ years of experience in Revenue Analytics, Sales Analytics, or Revenue Operations within a sales-led enterprise motion Experience modeling rep ramp, pipeline capacity, quota attainment distribution, and productivity metrics Demonstrated track record of influencing strategic decisions through executive-ready insights and data storytelling Strong understanding of enterprise sales cycles (multi-stakeholder, longer deal cycles, complex buying committees) Advanced SQL skills and deep familiarity with Salesforce opportunity data models Experience with BI tools such as Domo, Tableau, Looker, or similar platforms Advanced Excel or Google Sheets modeling skills (ramp curves, cohort analysis, sensitivity modeling) Strong written communication skills with the ability to translate complex analysis into clear narratives Bachelor’s degree in a quantitative field such as Finance, Economics, Mathematics, Engineering, or similar Nice to have: familiarity with MEDDPICC or enterprise qualification frameworks Nice to have: experience supporting board-level revenue reporting Nice to have: background in influencer marketing, creator economy, or digital marketing technology