Remote Senior Revenue Ops Analyst — AI-Driven Growth

United States Digital Space LLC

United States

Remote

USD 90,000 - 130,000

Full time

5 days ago
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Job summary

the company seeks a Senior Revenue Operations Analyst to own the data-intensive engine behind Revenue Ops, from bonus calculations to quota setting and forecasting models, with opportunities to build AI agents in Claude.

You will partner with GTM Ops, Marketing Ops, Data & Analytics, FP&A and HR, lead cross-functional projects, and help shape how a fast-growing revenue organization plans, pays, and forecasts today.

Qualifications

  • 4+ years in Sales Ops, Revenue Ops, analytics, or equivalent.
  • Looker/Tableau experience preferred.
  • Advanced Excel/Google Sheets modeling skills.
  • Track record of data-driven process improvements.
  • Excellent interpersonal and communication skills with leadership.
  • Experience building or using AI agents/tools (Claude) is a plus.
  • Self-starter, high energy, able to lead initiatives in a startup pace.

Responsibilities

  • Lead cross-functional strategic projects and measure impact.
  • Own quarterly bonus calculations and rep quota updates.
  • Maintain capacity models and forecast algorithms with FP&A alignment.
  • Build weekly KPI dashboards for Revenue leadership.
  • Run ad hoc modeling for high-visibility initiatives.
  • Identify process improvements and automation opportunities.
  • Collaborate on annual planning: capacity, targets, compensation design.
  • Develop Claude-based AI agents for self-serve analyses.

Skills

4+ years of experience
Looker
Tableau
Advanced Excel/Google Sheets modeling
SQL (nice-to-have)
Data-driven problem solving
Cross-functional collaboration
AI agent usage (Claude) curiosity

Tools

Looker
Tableau
SQL

Job description

the company seeks a Senior Revenue Operations Analyst to own the data-intensive engine behind Revenue Ops, from bonus calculations to quota setting and forecasting models, with opportunities to build AI agents in Claude.

You will partner with GTM Ops, Marketing Ops, Data & Analytics, FP&A and HR, lead cross-functional projects, and help shape how a fast-growing revenue organization plans, pays, and forecasts today.

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