Revenue Intelligence Analyst

Cadence

Burlington, MAPosted 5 months agoDiscoveredMatch locked

5+ years expData and Analytics

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.

Not included in the source posting: about the role, what you'll do, benefits.

Skills

excellookerpower-bisalesforcesqltableau

Who can apply

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