Revenue Intelligence Analyst

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

TheRevenue IntelligenceAnalystserves as acentral insight and execution role within the Channel Strategy & Programs Office. The role exists toturn 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 theVoice 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 deliverchannel forecasting analysis, including quality, bias, and mix across partners and regions

• Analyzepipeline and deal quality to identify bottlenecks, non‑scaling patterns, and execution gaps

• Provide visibility intoproduct mix to support strategic growth priorities

• Assessprogram effectiveness and ROI to inform program optimization, continuation, or sunset decisions

• Track and interpretsales velocity to highlight friction points across enablement, programs, and operations

From Insight to Action

• Translate analysis intoclear, actionable recommendations tied to specific business outcomes

• Identify what isnot scaling, and why, and surface this insight to Programs, Sales, and Ops stakeholders

• Support leadership withdecision‑ready insights rather than raw dashboards or retrospective reporting

Cross‑Functional Engagement

• Act as part of theVoice 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 tomake faster, clearer decisions

• Improved visibility intoforecast accuracy, partner contribution, and pipeline health

• Clear identification ofhigh‑impact vs. low‑return programs and activities

• Reduced noise and ad‑hoc requests throughtrusted, 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 inrevenue operations, sales/channel operations, business intelligence, or analytics roles supporting GTM organizations

• Demonstrated ability toanalyze forecasting, pipeline health, and sales performance and translate findings intoclear, decision-ready recommendations

• Strong proficiency indata analysis and modeling (e.g., advanced Excel; SQL or equivalent querying capability)

• Experience building and maintainingdashboards and recurring performance insights for leadership (tool-agnostic; CRM/BI experience expected)

• Ability to work with messy/partial data and still produceaccurate, defensible insights (insight over noise)

• Strong stakeholder management skills in across-functional, matrixed environment (Sales, Programs, Ops/L2C)

• Excellent written communication (able to produceclear, factual, audit-safe documentation and executive summaries)

Preferred

• Experience supportingChannel/Partner businesses (partner forecasting, partner performance scorecards, program effectiveness)

• Hands-on experience withCRM and BI ecosystems (e.g., Salesforce + Power BI/Tableau/Looker or similar)

• Familiarity withLead-to-Cash (L2C) concepts and where process friction typically shows up

• Experience measuring and improvingprogram 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 outputssimple 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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