Revenue Intelligence Analyst

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.

• 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

• 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

• 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 over engineering systems.

• Collaborate with Channel Integration and Ops teams by surfacing data related to process friction, data we need, and system impacts

• 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

• 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

• 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)

• 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…