# Staff Analyst

**Company:** [ClickUp](https://hotfix.jobs/companies/clickup)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $169k – $211k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Looker, Tableau, Machine Learning, artificial intelligence, Data Visualization, Dashboarding, Forecasting, segmentation, Revenue Operations, kpi frameworks
**Posted:** 2026-08-04

> The Staff Analyst will turn complex go-to-market data into actionable insights, dashboards, forecasts, and AI-enabled workflows supporting Sales and Customer Success. The role requires 5+ years of analytics or operations experience, advanced SQL and Python, and strong business partnership skills.

## Job Description

## 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.

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