Hiring: Staff Analyst, GTM Company: ClickUp Location: United States Job Posted Time: 2026-09-16 15:25:07 Target Skills & Keywords : ClickUp, Machine Learning, Python, SQL, SaaS About the job Experience: •5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. Required Skills: •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: •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. •Operational familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. •Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Compensation: •$169,000 - $211,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!