Revenue Operations Analyst
Key Responsibilities
GTM Analytics & Growth Program Insights
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Build and maintain Tableau dashboards tracking performance across our partnerships channel and new growth initiatives — serving audiences from country leads to executive leadership.
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Analyze conversion rates, pipeline health, ramp trends, and revenue attainment across programs and segments, surfacing patterns before they become decisions that have already been made.
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Come with a point of view. When a program is underperforming or a trend shifts, bring an interpretation and a recommendation (not just a chart).
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Support quarterly and annual GTM business reviews with structured analysis: cohort breakdowns, market-level benchmarks, and forward-looking indicators.
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Contribute to GTM capacity planning and quota-setting cycles — modeling scenarios, building attainment reports, and stress-testing assumptions before plans are finalized.
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Maintain performance-against-target reporting for growth programs and emerging channels: track attainment, flag outliers early, and ensure data is always reconciled.
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Support variable compensation analysis for relevant programs — running calculations, auditing for accuracy, and partnering with Finance to ensure payouts are correct and timely.
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Build and maintain data structures that support reliable rolling forecasts for new and high-growth segments.
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Use AI tools, including Claude and other frontier models, as active parts of your workflow: automating repetitive reporting tasks, accelerating data synthesis, and building scalable analytical programs that would otherwise require a much larger team.
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Identify RevOps processes that can be operationalized or significantly improved through AI, and take ownership of building those solutions, not just flagging the opportunity.
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Apply AI-assisted analysis to extract insights at scale from large, multi-source datasets: pipeline signals, rep activity, customer behavior, and market trends.
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Help establish Jeeves’s AI-first approach to RevOps as a model for how the broader GTM team operates.
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Share responsibility for data quality across our revenue stack (HubSpot CRM, Tableau, and financial systems), conducting audits for accuracy, completeness, and consistency.
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Connect disparate data sources (CRM, marketing automation, financial tools, and proprietary revenue data) so that reporting on growth programs is unified and trustworthy.
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Document data models, metric definitions, and reporting logic so the team works from a shared understanding of what we’re measuring and why.
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Develop enough context on our GTM motion to contribute meaningfully in planning and pipeline review cycles alongside sales leadership, bringing data that drives decisions, not just awareness.
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Serve as a reliable analytical resource to the Head of Revenue Operations and GTM leadership: scope requests clearly, pull the data, and return clear answers quickly.
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Identify process gaps and proactively propose improvements to how we collect, manage, and act on GTM data (especially across new and growing channels).
Revenue Planning & Target Analysis
AI-Driven Operations & Scale
Data Quality & Systems Integration
Stakeholder Partnership
What We’re Looking For
Technical & Analytical Skills
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Tableau mastery: able to write complex calculated fields, build multi-source dashboards, and design views for diverse audiences from reps to the C-suite.
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Advanced Excel and Google Sheets: complex formulas, pivot tables, and financial modeling — you reach for the right tool for the job, not just the most impressive one.
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Strong SQL skills: you can get to an answer independently without waiting for a data engineer to pull it for you.
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Data integration experience: comfortable connecting CRM, marketing automation, and financial data into unified reporting environments.
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Business metrics fluency: deep understanding of conversion rates, customer lifetime value (LTV), pipeline coverage, ramp curves, revenue attainment, and customer health.
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Data modeling: able to design clean structures that support accurate forecasting, compensation analysis, and multi-region rollups.
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You actively use AI tools, Claude Copilot/Code, or equivalent, as part of your day-to-day workflow, not as a novelty.
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You’ve used AI to automate reporting pipelines, accelerate analysis, or build operational programs that scale beyond what a single analyst could do manually.
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You’re curious about where AI can go next in RevOps and you bring ideas, not just execution.
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Hungry and driven: you want to build something generational, and you bring the energy and output to match. You hold yourself to a higher standard than anyone else will hold you to.
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Thrives in high-velocity environments: you’re not just comfortable with ambiguity and shifting priorities — you’re energized by them. You find a way through, not a reason to wait.
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High agency: you don’t wait for a ticket. You’re already thinking about what the data might be missing or what question leadership will ask next week.
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Sharp communicator: your outputs — whether a Slack message, a Tableau dashboard, or a business review slide — are concise, structured, and ready for a senior audience.
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Strong time management: you’re comfortable managing multiple live workstreams, setting expectations on timelines, and delivering reliably under pressure.
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Low ego and collaborative: Jeeves is building something ambitious across complex markets. You’re here to make the whole team better, not just your function.
AI Fluency (Required, Not Optional)
Soft Skills & Ways of Working
Qualifications
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2–4 years in Revenue Operations, Sales Operations, Business Analytics, or a related GTM-adjacent role.
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Hands-on Tableau experience is required. You should be able to demonstrate dashboards you’ve built from scratch.
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Advanced proficiency in Excel and/or Google Sheets.
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Experience working with CRM data (HubSpot preferred) and connecting it to downstream reporting.
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Exposure to incentive compensation modeling, quota attainment reporting, or variable pay analysis is strongly preferred.
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Bachelor’s degree in Business, Finance, Economics, Data Science, or a related field.
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Fluency in English is required; proficiency in Spanish and/or Portuguese is preferred.
Nice to Have
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Experience in B2B fintech, payments, corporate banking, or expense management.
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Familiarity with multi-currency, multi-region revenue reporting.
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Experience building or improving compensation and quota-tracking systems end-to-end.
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Background in channel partnerships, broker networks, or indirect sales models.
What We Offer
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Competitive salary and performance-based bonus.
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The chance to work on analytically complex problems across 3+ continents and multiple currencies — at a company moving fast enough that your work actually changes things.
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A lean team that uses AI first, moves with urgency, and trusts you to own your domain from day one.
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Direct exposure to senior RevOps and GTM leadership.
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A culture that values output, curiosity, and honest feedback over hierarchy — and that genuinely believes it’s building something that matters.