GTM Revenue Analyst — AI-Driven Growth & Insights

ClickUp

United States

Teletrabalho

USD 110 000 - 170 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Resumo da oferta

ClickUp is seeking a Staff Analyst for GTM Revenue to empower revenue leaders with sharper, faster decisions. You will partner across Sales and Customer Success to turn data into practical insight, build dashboards, and drive AI‑enabled workflows that optimize pipeline, segmentation, and productivity.

The role requires 5+ years in analytics or revenue operations, strong SQL/Python skills, and experience delivering executive‑ready insights in a SaaS environment.

Qualificações

  • 5+ years in analytics, strategy & operations, or revenue ops supporting go‑to‑market teams.
  • Advanced SQL and Python with judgement on use for analysis and automation.
  • Experience building dashboards, models, and KPI frameworks for decisions.
  • Experience supporting Sales, Customer Success, or Revenue Ops in SaaS tech.

Responsabilidades

  • Partner with GTM leaders to frame questions, prioritize analyses, and translate findings into recommendations.
  • Build and maintain dashboards and reporting layers for Sales, CS, and related motions.
  • Analyze pipeline health, segmentation, conversion, retention, and productivity trends.
  • Develop forecasting and scenario planning models to inform decisions.
  • Use SQL and Python to extract and analyze data from multiple systems.
  • Identify workflows ripe for automation and AI-assisted analysis.

Conhecimentos

SQL
Python
Dashboards
KPI frameworks
Cross-functional collaboration

Ferramentas

Looker
Tableau

Descrição da oferta de emprego

ClickUp is seeking a Staff Analyst for GTM Revenue to empower revenue leaders with sharper, faster decisions. You will partner across Sales and Customer Success to turn data into practical insight, build dashboards, and drive AI‑enabled workflows that optimize pipeline, segmentation, and productivity.

The role requires 5+ years in analytics or revenue operations, strong SQL/Python skills, and experience delivering executive‑ready insights in a SaaS environment.

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