Revenue Intelligence Analyst
Description
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
The Revenue Intelligence Analyst serves as a central insight and execution role within the Channel Strategy & Programs Office. The role exists to turn channel data into actionable insight , enabling leadership to make informed decisions that improve partner behavior, increase scalability, and accelerate growth without adding unnecessary program or operational complexity.
This role acts as a key contributor to the Voice of the Channel , ensuring that insights reflect real partner behavior and are connected to concrete outcomes across Sales, Programs, and Lead‑to‑Cash (L2C) functions.
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Key Responsibilities
Revenue Intelligence & Analytics
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Own and deliver channel forecasting analysis , including quality, bias, and mix across partners and regions
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Analyze pipeline and deal quality to identify bottlenecks, non‑scaling patterns, and execution gaps
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Provide visibility into product mix to support strategic growth priorities
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Assess program effectiveness and ROI to inform program optimization, continuation, or sunset decisions
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Track and interpret sales velocity to highlight friction points across enablement, programs, and operations
From Insight to Action
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Translate analysis into clear, actionable recommendations tied to specific business outcomes
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Identify what is not scaling, and why , and surface this insight to Programs, Sales, and Ops stakeholders
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Support leadership with decision‑ready insights rather than raw dashboards or retrospective reporting
Cross‑Functional Engagement
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Act as part of the Voice of the Channel , reflecting partner realities into Sales Campaigns, Programs, L2C, and Ops discussions
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Partner with Programs & Commercial Frameworks to ensure data informs program design, load management, and lifecycle governance
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Define the data we need, and how it must be structured, to enable accurate forecasting, behavior analysis, and program decisions without overengineering systems.
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Collaborate with Channel Integration and Ops teams by surfacing data related to process friction, data we need, and system impacts
What Success Looks Like
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Leadership uses Revenue Intelligence outputs to make faster, clearer decisions
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Improved visibility into forecast accuracy, partner contribution, and pipeline health
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Clear identification of high‑impact vs. low‑return programs and activities
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Reduced noise and ad‑hoc requests through trusted, repeatable insight frameworks
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Increased partner self‑sufficiency driven by insight‑informed actions, not added complexity
Operating Principles
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Insight over activity
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Simple analysis that scales
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Actionable conclusions, not theoretical models
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Protect partner and CPM bandwidth
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Data as a tool to enable better behavior, not more rules
Qualifications
Required
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5+ years of experience in revenue operations, sales/channel operations, business intelligence, or analytics roles supporting GTM organizations
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Demonstrated ability to analyze forecasting, pipeline health, and sales performance and translate findings into clear, decision-ready recommendations
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Strong proficiency in data analysis and modeling (e.g., advanced Excel; SQL or equivalent querying capability)
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Experience building and maintaining dashboards and recurring performance insights for leadership (tool-agnostic; CRM/BI experience expected)
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Ability to work with messy/partial data and still produce accurate, defensible insights (insight over noise)
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Strong stakeholder management skills in a cross-functional, matrixed environment (Sales, Programs, Ops/L2C)
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Excellent written communication (able to produce clear, factual, audit-safe documentation and executive summaries)
Preferred
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Experience supporting Channel/Partner businesses (partner forecasting, partner performance scorecards, program effectiveness)
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Hands-on experience with CRM and BI ecosystems (e.g., Salesforce + Power BI/Tableau/Looker or similar)
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Familiarity with Lead-to-Cash (L2C) concepts and where process friction typically shows up
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Experience measuring and improving program ROI and recommending program optimizations/sunsets based on data
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Bachelor’s degree in Business, Finance, Analytics, Engineering (or equivalent experience); MBA a plus
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Comfortable in operating in high-change environments (new motions, evolving partner programs) while keeping outputs simple and scalable
The annual salary range for Massachusetts is $94,500 to $175,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.