Revenue Operations Analyst
Role Overview
The Revenue Operations Analyst supports Revenue Operations, Commercial Planning, and Finance with analysis connecting sales, account management, customer performance, deployments, operations, and financial results.
The role investigates causes behind performance and translates analysis into actionable business insights.
Key Skills for This Role
Full Job Posting
About Botrista
Botrista provides drink-making technology for restaurants and other establishments and is deploying machines nationwide.
Position Summary
The Revenue Operations Analyst supports Revenue Operations, Commercial Planning, and Finance with analysis connecting sales, account management, customer performance, deployments, operations, and financial results.
The role investigates causes behind performance and translates analysis into actionable business insights.
Revenue and Sales Analysis
- Analyze revenue against plan, including new and recurring revenue, same-store performance, retention, expansion, cups sold daily, and deployments.
- Develop cohort and segmentation analyses and identify trends, risks, anomalies, and growth opportunities.
- Analyze pipeline, conversion, sales velocity, win/loss performance, quota attainment, seller productivity, lead sources, territories, and customer segments.
- Support capacity, territory, quota, resource allocation, deployment, and revenue forecasting; assess forecast accuracy.
Customer and Revenue Quality
- Analyze customer consumption, recurring revenue, account health, attrition, expansion, and indicators of growth or churn.
- Assess account management interventions and develop account prioritization, opportunity, and risk scoring.
- Evaluate customer economics, margins, costs, profitability, and long-term value across customer and deal segments.
Forecasting and Planning
- Build and maintain models for revenue growth, customer performance, capacity, retention, and other business drivers.
- Support operating plans, forecasts, and scenario analysis, including sensitivities to headcount, productivity, pricing, customer mix, retention, and deployment timing.
Candidate Profile
- Strong analytical and technical skills, commercial judgment, curiosity, and comfort investigating complex data.
- Ability to translate complex analysis into clear recommendations and business actions.
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