Staff Analyst, GTM
ClickUp · Remote · United States · Canada ·
COMPENSATION
$169k – $211k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote
- SQL + Python
- GTM focus
- No visa sponsorship
Join ClickUp as a Staff Analyst, GTM Revenue to help leadership make faster, sharper decisions across critical revenue motions. You will partner with Sales, Customer Success, and adjacent teams to transform complex data into practical insights and operational improvements.
This high-impact role blends deep analysis with business partnership and execution. You will identify friction points, leverage AI and automation for efficiency, and translate data into better strategies for pipeline, segmentation, and overall GTM performance.
What you'll do
- Partner with GTM leaders to frame business questions and prioritize high-impact analyses
- Build dashboards and reporting layers for visibility into Sales and Customer Success performance
- Analyze pipeline health, conversion, retention, and productivity trends to find growth opportunities
- Develop forecasting and scenario-planning models to support confident decision-making
- Use SQL and Python to extract and analyze large datasets from multiple systems
- Identify manual workflows for improvement through automation or AI-assisted analysis
- Collaborate with Finance and Operations to align data definitions with business needs
- Present concise, executive-ready insights to technical and non-technical audiences
What you'll need
- 5+ years in analytics, strategy, revenue operations, or BI supporting GTM teams
- Advanced proficiency in SQL and Python for analysis and scalable reporting
- Strong experience building dashboards, analytical models, and KPI frameworks
- Proven success supporting Sales or Customer Success in a SaaS environment
- Strong business acumen linking data trends to commercial outcomes
- Excellent communication skills to simplify complex analysis for stakeholders
- Ability to work independently in ambiguous environments and manage priorities
Nice to have
- Experience applying AI or ML to segmentation, forecasting, or automation
- Familiarity with modern BI tools like Looker or Tableau
- Background in high-growth, multi-motion SaaS businesses
- Comfort partnering with senior leaders on ambiguous strategic questions
Stack
- SQL
- Python
- Looker
- Tableau
How you'll work
- Fully remote position
- AI fluency evaluated during hiring
- Daily use of AI tools expected