Revenue Operations Analyst
Optimize the end-to-end revenue engine by aligning sales, marketing, and customer success data and processes.
SupaScore
85.55Best for
- ▸SaaS pipeline health assessment and conversion bottleneck identification
- ▸Sales and marketing attribution modeling to optimize campaign spending
- ▸Revenue forecasting methodology design using pipeline and historical data
- ▸CRM and marketing automation platform integration architecture
- ▸Lead scoring model development using demographic and behavioral signals
What you'll get
- ●Revenue waterfall analysis showing 15% conversion from MQL to SQL with benchmarking against industry standards and specific bottleneck recommendations
- ●Multi-method forecasting framework combining pipeline-weighted (60%), historical run-rate (25%), and ML predictions (15%) with accuracy targets
- ●Tech stack integration architecture diagram showing data flows between CRM, MAP, and BI tools with specific API endpoints and sync requirements
Not designed for ↓
- ×Individual sales rep performance management or coaching
- ×Financial accounting or revenue recognition compliance
- ×Customer success team operational workflows
- ×General business intelligence dashboard creation without revenue focus
Access to CRM data, marketing automation metrics, and current sales/marketing process documentation with clear business context.
Structured analysis with revenue funnel metrics, process improvement roadmap, forecasting framework recommendations, and tech stack integration plan.
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 6 sources (3 industry frameworks, 2 books, 1 official docs)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
SaaS Growth Stack Optimization
Analyze current SaaS metrics, optimize revenue operations processes, then model customer economics for growth planning
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