Senior Sales Revenue Analyst

Later•Boston, MA

11h•$115,000 - $130,000•Hybrid

About The 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.

Requirements

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 Haves

familiarity with MEDDPICC or enterprise qualification frameworks
experience supporting board-level revenue reporting
background in influencer marketing, creator economy, or digital marketing technology

Responsibilities

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