[All remote jobs](https://jobicy.com/jobs.md)[![ClickUp logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/cd5be0ef-221.jpg)](https://jobicy.com/company/clickup.md)[ClickUp](https://jobicy.com/company/clickup.md) # Staff Analyst, GTM Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/clickup.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 169k–211k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished25 Oct 2026Apply before24 Nov 2026Listing views34Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This senior go-to-market analytics role partners with Sales, Customer Success, Finance, Operations, and systems teams to improve revenue decisions. The analyst will build reporting layers, dashboards, forecasting and scenario models, and analyses covering pipeline, segmentation, conversion, retention, and productivity. The role requires advanced SQL and Python skills along with the business judgment to translate complex data into executive-ready recommendations. It also emphasizes identifying AI-enabled and automated workflows that improve GTM efficiency and customer outcomes. Success depends on independent execution in a high-growth SaaS environment and strong influence with senior stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe position combines staff-level analytical depth, revenue-operations domain expertise, technical data work, and strategic partnership with senior GTM leaders. It requires delivering reliable recommendations quickly despite ambiguous questions and multiple cross-functional priorities. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$190,000US market range (per year)$165k–$220k0$242.00k AI insightThe employer discloses a yearly base-compensation range of $169,000–$211,000 USD, with a midpoint of $190,000. This is credible and broadly competitive for a staff-level GTM/revenue analytics professional in the US market; the estimated annual market range is $165,000–$220,000 USD. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Revenue analytics](https://jobicy.com/jobs?search_keywords=Revenue%20analytics.md)[Go-to-market strategy](https://jobicy.com/jobs?search_keywords=Go-to-market%20strategy.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Dashboard development](https://jobicy.com/jobs?search_keywords=Dashboard%20development.md)[Forecasting](https://jobicy.com/jobs?search_keywords=Forecasting.md)[Scenario planning](https://jobicy.com/jobs?search_keywords=Scenario%20planning.md)[Pipeline analysis](https://jobicy.com/jobs?search_keywords=Pipeline%20analysis.md)[Customer retention analysis](https://jobicy.com/jobs?search_keywords=Customer%20retention%20analysis.md)[Sales operations](https://jobicy.com/jobs?search_keywords=Sales%20operations.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Workflow automation](https://jobicy.com/jobs?search_keywords=Workflow%20automation.md)[AI-enabled analytics](https://jobicy.com/jobs?search_keywords=AI-enabled%20analytics.md)[Executive communication](https://jobicy.com/jobs?search_keywords=Executive%20communication.md) Sample interview questionsHow would you diagnose a decline in sales pipeline conversion rates?I would first validate the metric definitions and data completeness, then segment conversion by stage, source, customer segment, region, sales motion, and rep tenure. I would identify where the largest changes occurred, test likely drivers such as lead quality, cycle time, capacity, or process changes, and translate the findings into prioritized actions with measurable expected impact. Describe how you would build a forecasting model for GTM leadership. I would align on the decision the forecast must support, define the target metric and forecast horizon, and combine historical attainment with pipeline stage, conversion, velocity, seasonality, capacity, and retention signals. I would provide a baseline forecast alongside upside and downside scenarios, document assumptions, and monitor forecast accuracy so the model improves over time. How do you ensure stakeholders trust a new dashboard or KPI framework? I start by agreeing on business definitions, source systems, ownership, and intended decisions with stakeholders. I validate calculations against known historical results, make metric logic transparent, establish data-quality checks, and collect feedback through a pilot before scaling the dashboard. Give an example of an AI or automation opportunity you would prioritize in GTM operations. I would look for a recurring, high-volume workflow with clear inputs and a measurable business outcome, such as account prioritization or automated pipeline-risk alerts. After validating data quality and defining success metrics, I would pilot a model or rules-based workflow, measure lift against a control group, and incorporate human review for consequential decisions. How would you communicate a complex analytical finding to an executive audience? I would lead with the decision, the key finding, and the recommended action rather than the methodology. I would quantify business impact, state the few assumptions or risks that matter, use a simple visual where useful, and keep technical detail available in an appendix for follow-up. Opportunity details ## About this role. At ClickUp, we’re building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what’s possible. 🚀 We’re looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you’ll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage. This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You’ll help leaders understand what’s working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance. Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes. The Role * Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. * Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. * Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. * Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. * Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. * Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. * Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. * Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences. Qualifications * 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. * Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. * Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. * Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. * Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. * Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. * Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability. Desirable * Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. * Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. * Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. * Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our [Global Candidate Privacy Notice.](https://clickup.com/careers-terms/candidate-privacy-notice) If you are a Philippine Job Applicant, please also see our [Philippine Data Privacy Notice](https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open) for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @[clickup.com](http://clickup.com) email or through our official careers portal on [clickup.com](http://clickup.com). We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates’ employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com. 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