The ad says“5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams”
The ad says“5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams”
The ad says“Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting”
The ad says“5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams”
The ad says“Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting”
Values
The ad says“Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation”
The ad says“Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms”
The ad says“Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms”
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
Benefits
16” MacBook Pro
Moving Expenses
$200/mo commuter benefits
Team lunches each week
401(k) match up to 2%
Unlimited snacks, kombucha, and cold brew
Health insurance
Dental insurance
ClickUp swag
Teammate recognition rewards
Flexible PTO
Preferred experience
5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams
Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability
Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes
Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment
Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders
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
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
