# Revenue Operations Analyst **Company**: Jeeves **Location**: Mexico City **Work arrangement**: hybrid **Experience**: mid **Job type**: full-time **Category**: Operations **Industry**: Finance **Apply**: https://jobs.lever.co/tryjeeves/261edb62-df5f-4557-b551-63bde728b369?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_19cafad2-a7d ## Description This role is focused on Jeeves’s growth programs and emerging revenue channels , including our partnerships channel and new market expansion initiatives , where we need rigorous, scalable analytics to match the pace of growth. You’ll be responsible for the analytical layer that connects our sales activity to revenue outcomes: building the dashboards our leadership relies on, maintaining shared responsibility for the integrity of our performance data, and proactively surfacing the insights that shape how we operate. ## Key Responsibilities ## ### GTM Analytics & Growth Program Insights ### - Build and maintain Tableau dashboards tracking performance across our partnerships channel and new growth initiatives , serving audiences from country leads to executive leadership. - 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. - 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). - Support quarterly and annual GTM business reviews with structured analysis: cohort breakdowns, market-level benchmarks, and forward-looking indicators. ### Revenue Planning & Target Analysis ### - Contribute to GTM capacity planning and quota-setting cycles , modeling scenarios, building attainment reports, and stress-testing assumptions before plans are finalized. - Maintain performance-against-target reporting for growth programs and emerging channels: track attainment, flag outliers early, and ensure data is always reconciled. - Support variable compensation analysis for relevant programs , running calculations, auditing for accuracy, and partnering with Finance to ensure payouts are correct and timely. - Build and maintain data structures that support reliable rolling forecasts for new and high-growth segments. ### AI-Driven Operations & Scale ### - 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. - Identify RevOps processes that can be operationalized or significantly improved through AI, and take ownership of building those solutions, not just flagging the opportunity. - Apply AI-assisted analysis to extract insights at scale from large, multi-source datasets: pipeline signals, rep activity, customer behavior, and market trends. - Help establish Jeeves’s AI-first approach to RevOps as a model for how the broader GTM team operates. ### Data Quality & Systems Integration ### - Share responsibility for data quality across our revenue stack (HubSpot CRM, Tableau, and financial systems), conducting audits for accuracy, completeness, and consistency. - Connect disparate data sources (CRM, marketing automation, financial tools, and proprietary revenue data) so that reporting on growth programs is unified and trustworthy. - Document data models, metric definitions, and reporting logic so the team works from a shared understanding of what we’re measuring and why. ### Stakeholder Partnership ### - 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. - 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. - Identify process gaps and proactively propose improvements to how we collect, manage, and act on GTM data (especially across new and growing channels). ## What We’re Looking For ## ### Technical & Analytical Skills ### - Tableau mastery: able to write complex calculated fields, build multi-source dashboards, and design views for diverse audiences from reps to the C-suite. - 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. - Strong SQL skills: you can get to an answer independently without waiting for a data engineer to pull it for you. - Data integration experience: comfortable connecting CRM, marketing automation, and financial data into unified reporting environments. - Business metrics fluency: deep understanding of conversion rates, customer lifetime value (LTV), pipeline coverage, ramp curves, revenue attainment, and customer health. - Data modeling: able to design clean structures that support accurate forecasting, compensation analysis, and multi-region rollups. ### AI Fluency (Required, Not Optional) ### - You actively use AI tools, Claude Copilot/Code, or equivalent, as part of your day-to-day workflow, not as a novelty. - You’ve used AI to automate reporting pipelines, accelerate analysis, or build operational programs that scale beyond what a single analyst could accomplish. ## Salary & Benefits ## - Salary: Not specified - Benefits: Not specified ## Skills ### Required - Tableau - Excel - Google Sheets - SQL - Data integration - Business metrics - Data modeling - AI tools --- Source: [Apply at jobs.lever.co](https://jobs.lever.co/tryjeeves/261edb62-df5f-4557-b551-63bde728b369?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)