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.
Key ResponsibilitiesRevenue Intelligence & Analytics
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
Assess 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
From Insight to Action
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
What Success Looks Like
Leadership uses Revenue Intelligence outputs to make faster, clearer decisions
Improved visibility into forecast accuracy, partner contribution, and pipeline health
Clear identification of high-impact vs. low-return programs and activities
Reduced noise and ad-hoc requests through trusted, repeatable insight frameworks
Increased partner self-sufficiency driven by insight-informed actions, not added complexity
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
QualificationsRequired
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
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.
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Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.
Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.
Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
