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. **Key Responsibilities** ======================== **Revenue 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 **Qualifications** ================== **Required** ------------ * 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._ **We’re doing work that matters. Help us solve what others can’t.** -------------------------------------------------------------------