GTM BI Analyst

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

GTM Business Intelligence Analyst

About the Role

• We're looking for a GTM Business Intelligence Analyst to help turn pipeline, product-usage, and marketing data
• into insights our sales and marketing teams can use. You'll work closely with Sales, RevOps, Product, and
• Marketing, building dashboards and analyses that help us understand where revenue is coming from and where
• there's room to improve. You'll have real ownership over how the data is modeled, not just how it's reported.

Why This Role Matters

• GTM analytics plays an important role in how our cybersecurity business understands and grows revenue. This role
• has visibility into how we allocate marketing spend, plan sales targets, and report on performance, and offers a
• chance to work closely with leadership.

What You'll Do

• Build and maintain pipeline, bookings, and funnel dashboards across marketing-sourced, sales-sourced, and

partner-sourced revenue

• Help maintain the GTM data model connecting CRM (Salesforce), marketing automation, product usage, and

billing data

• Support sales leadership with territory planning, quota analysis, and win/loss reporting
• Prepare reporting on pipeline health and sales productivity for leadership review
• Help flag pipeline risk and conversion bottlenecks so they can be addressed early
• Support KPI frameworks for team performance, campaign effectiveness, and customer expansion
• Work with RevOps to improve CRM data hygiene, lead routing logic, and scoring models
• Turn open-ended questions from stakeholders into clear, structured analysis
• Explore and apply AI-assisted analytics tools (e.g., natural-language query interfaces, LLM-based reporting

copilots) to speed up ad hoc analysis and reduce manual reporting work

What We're Looking For

• Bachelor’s degree in computer science, Statistics, Mathematics, or a related field
• 3+ years in GTM, sales, or marketing analytics, RevOps, or business intelligence; SaaS experience preferred,

cybersecurity a plus

• Comfortable with SQL and at least one BI tool (Looker, Tableau, or Power BI)
• Hands-on experience with Salesforce, including building reports and understanding how objects relate
• Experience working with attribution or funnel data from multiple sources
• Exposure to cloud data warehouses or lakehouse platforms (e.g., Snowflake, Databricks, BigQuery, Redshift)

and experience supporting the build of a modeled date warehouse/ data lake

• Familiarity with AI/LLM-powered analytics tools (e.g., Copilot/Claude-style BI assistants, prompt-based

querying, or using AI to accelerate report-building) a plus

• Comfortable presenting findings to sales leadership and other stakeholders
• Clear written and verbal communication skills• Experience with marketing automation platforms (Marketo, HubSpot) and CPQ/billing systems a plus
• A proactive, detail-oriented approach to problem-solving