Revenue Intelligence Analyst
DiscoveredCadence
Burlington, MAexternalData and AnalyticsPosted 2 months ago (Jun 5, 2026)
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
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The Revenue Intelligence Analyst serves as a central insight and execution role@@/HD@@
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.
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This role acts as a key contributor to the Voice of the Channel@@/HD@@
, 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@@/HD@@
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Revenue Intelligence & Analytics@@/HD@@
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• Own and deliver channel forecasting analysis@@/HD@@
, 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
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• Translate analysis into clear, actionable recommendations@@/HD@@
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
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• Act as part of the Voice of the Channel@@/HD@@
, 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
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• Leadership uses Revenue Intelligence outputs to make faster, clearer decisions@@/HD@@
• 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
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Required@@/HD@@
• 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
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• Experience supporting Channel/Partner@@/HD@@
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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We're doing work that matters. Help us solve what others can't.@@/HD@@
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