Staff Analyst

Responsibilities

• 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 for performance visibility 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 resource allocation.
• Develop forecasting, scenario-planning, and decision-support models.
• 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 implement those solutions in GTM operations.
• Collaborate with Finance, Operations, Systems, and customer-facing teams to align data definitions, reporting logic, and recommendations with business needs.
• Present insights concisely to technical and non-technical audiences.

Requirements

• 5+ years of experience in analytics, strategy and operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams.
• Advanced proficiency in SQL and Python.
• Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions.
• Experience supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or fast-moving technology environment.
• Strong business acumen and ability to connect data trends to customer, commercial, and operational outcomes.
• Excellent communication and stakeholder-influence skills.
• Ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work reliably.

Nice-to-haves

• Experience applying AI or machine learning to segmentation, prioritization, forecasting support, or workflow automation.
• Familiarity with Looker, Tableau, or similar BI and visualization platforms.
• Experience in a high-growth, multi-motion SaaS business.
• Experience partnering with senior leaders on ambiguous analytical questions.

Compensation

• Annual salary range: $169,000–$211,000.