Revenue Intelligence Analyst
Cadence · Massachusetts, United States · 2 wk ago
Information Technology$95k–$176k/yrFull-time
Key Responsibilities
- Own and deliver channel forecasting analysis, including quality, bias, and mix across partners and regions
- Analyze pipeline and deal quality to identify bottlenecks, non-scaling patterns, and execution gaps
- Provide visibility into product mix to support strategic growth priorities
- Audit program effectiveness and ROI to inform program optimization, continuation, or sunset decisions
- Track and interpret sales velocity to highlight friction points across enablement, programs, and operations
- Translate analysis into clear, actionable recommendations tied to specific business outcomes
- Identify what is not scaling, and why, and surface this insight to Programs, Sales, and Ops stakeholders
- Support leadership with decision-ready insights rather than raw dashboards or retrospective reporting
- Cross-functional Engagement
- Act as part of the Voice of the Channel, reflecting partner realities into Sales Campaigns, Programs, L2C, and Ops discussions
- Partner with Programs & Commercial Frameworks to ensure data informs program design, load management, and lifecycle governance
- Define the data we need, and how it must be structured, to enable accurate forecasting, behavior analysis, and program decisions without overengineering systems
- Collaborate with Channel Integration and Ops teams by surfacing data related to process friction, data we need, and system impacts
Operating Principles
- Insight over activity
- Simple analysis that scales
- Actionable conclusions, not theoretical models
- Protect partner and CPM bandwidth
- Data as a tool to enable better behavior, not more rules
Qualifications
- 5+ years of experience in revenue operations, sales/channel operations, business intelligence, or analytics roles supporting GTM organizations
- Demonstrated ability to analyze forecasting, pipeline health, and sales performance and translate findings into clear, decision-ready recommendations
- Strong proficiency in data analysis and modeling (e.g., advanced Excel; SQL or equivalent querying capability)
- Experience building and maintaining dashboards and recurring performance insights for leadership (tool-agnostic; CRM/BI experience expected)
- Ability to work with messy/partial data and still produce accurate, defensible insights (insight over noise)
- Strong stakeholder management skills in a cross-functional, matrixed environment (Sales, Programs, Ops/L2C)
- Excellent written communication (able to produce clear, factual, audit-safe documentation and executive summaries)
Preferred Experience
- Supporting Channel/Partner businesses (partner forecasting, partner performance scorecards, program effectiveness)
- Hands-on experience with CRM and BI ecosystems (e.g., Salesforce + Power BI/Tableau/Looker or similar)
- Familiarity with Lead-to-Cash (L2C) concepts and where process friction typically shows up
- Experience measuring and improving program ROI and recommending program optimizations/sunsets based on data
- Bachelor’s degree in Business, Finance, Analytics, Engineering (or equivalent experience); MBA a plus
- Comfortable in operating in high-change environments (new motions, evolving partner programs) while keeping outputs simple and scalable