Staff Analyst, ClickUp

• 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

• 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
• 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
• 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