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