Analyst, Revenue Intelligence

Axon Axon · Enterprise · Boston, MA · 3035 Revenue Intelligence Sales Strategy

This role focuses on providing data-driven insights to the sales organization through dashboards, models, and strategic advice. The Analyst will own executive-level analytics, attainment and performance reporting, and day-to-day sales reporting, ensuring accuracy and defensibility of numbers. Collaboration with sales leaders and cross-functional teams is key, as is the ability to visualize complex data for non-technical audiences and drive process improvements. The role also involves leveraging AI tools to enhance workflows.

What you'd actually do

  1. You own the analytics that sales leaders use to set targets, plan pipeline, and find growth across teams, territories, and accounts. This includes the dashboards, definitions, data specs, and warehouse models behind them. When a leader needs a view that doesn't exist yet, you scope it, build it, and put your name on it.
  2. You own the attainment and forecast dashboards the Sales org uses to see how it's doing across every role, team, seller, and time period. You build them, maintain them, keep the documentation and walkthroughs current, and stand behind the numbers. When a leader asks how a figure was calculated, you have the answer.
  3. You own the operational reports sellers and managers use to manage their funnel across product, opportunity, territory & accounts, account management, and activities. You also connect productivity to reporting, putting the actions people use most inside the reports themselves so users can act without switching tools.
  4. You're the analyst Sales leadership comes to with the hard questions. You invest time with them and their teams to understand their needs, challenges, and goals — and you dig into the business context before scoping any work. The result is that what you build actually answers the question, not just the one that was asked. You collaborate fluidly across technical and non-technical audiences, keeping Sales, Marketing, Finance, and IT aligned on what the data says and what it means.
  5. You decide how complex data shows up to non-technical audiences — through the visualizations, decks, and write-ups that go in front of leaders. You use the data to call out where sales processes can be simpler, drive the changes with other teams, and track the results until they stick. You are comfortable leveraging AI tools (such as Cursor, Claude, or Copilot) to accelerate and enhance your work, and have a strong technical foundation that enables you to ramp quickly on new tools and technologies.

Skills

Required

  • Sales analysis
  • Business intelligence
  • Excel
  • SQL
  • Salesforce CRM Analytics
  • Snowflake
  • Salesforce ecosystem
  • CRM data model

Nice to have

  • Coding experience
  • Sigma

What the JD emphasized

  • own how the Sales organization sees itself in data
  • turn CRM, bookings, pipeline, and product data into the dashboards, models, and strategic advice
  • sales leaders use to set goals, track performance, and close deals
  • Every sales segment assesses performance using your reports
  • you’re the one who keeps them accurate
  • own the executive-level analytics
  • leaders rely on for targeting, pipeline planning, and core business trends
  • analyst that Sales, Finance, and IT come to when a number on the page needs to be defended
  • You own the analytics that sales leaders use to set targets, plan pipeline, and find growth
  • When a leader needs a view that doesn't exist yet, you scope it, build it, and put your name on it
  • You own the attainment and forecast dashboards the Sales org uses to see how it's doing
  • you build them, maintain them, keep the documentation and walkthroughs current, and stand behind the numbers
  • When a leader asks how a figure was calculated, you have the answer
  • You own the operational reports sellers and managers use to manage their funnel
  • You're the analyst Sales leadership comes to with the hard questions
  • you dig into the business context before scoping any work
  • what you build actually answers the question, not just the one that was asked
  • keeping Sales, Marketing, Finance, and IT aligned on what the data says and what it means
  • You decide how complex data shows up to non-technical audiences
  • call out where sales processes can be simpler
  • drive the changes with other teams
  • track the results until they stick
  • strong technical foundation that enables you to ramp quickly on new tools and technologies
  • Proficiency in modern data analytics tools (e.g., Excel, SQL, Salesforce CRM Analytics, Sigma)
  • cloud data warehouses (e.g., Snowflake)
  • Salesforce ecosystem, including its embedded analytics platform
  • Comfortable with a standard CRM data model — accounts, opportunities, line items, team / split attribution
  • Willing to own messy bookings, attribution, and territory questions with Finance, Commissions, and IT, and see them through to resolution