GTM Business Analyst

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

We’re looking for a GTM Business Analyst to join our fast-growing Business Analytics team, partnering closely with GTM leadership, RevOps, Customer Success, Channel, Marketing (ToFu), Finance, and Data/BI teams to scale our go-to-market analytics capabilities.

This role combines deep analytical skills, understanding of SaaS and customer lifecycle metrics, and strong business storytelling. You’ll deliver data-driven insights across multiple GTM domains, enabling senior leaders to make informed decisions, improve operational efficiency, and accelerate revenue growth.

Responsibilities

GTM Analytics & Performance Insights

• Analyze performance and build reporting for Customer Success, Channel Sales, Solutions Engineering, and Top-of-Funnel Marketing
• Track and interpret key SaaS KPIs, including ARR movements, churn, retention (GRR/NRR), expansion, pipeline creation, and funnel conversion metrics.
• Develop and maintain reports, dashboards, and models that provide actionable insights across the customer lifecycle and partner-driven business.
• Translate complex data into clear insights and compelling business narratives tailored for GTM and executive leadership.
• Conduct deep-dive analyses to identify performance drivers, risks, and opportunities across assigned GTM pillars.
  
  

• Use SQL and Snowflake to extract, structure, and analyze GTM data efficiently.
• Design high-impact, end-to-end Tableau dashboards (preferred), from data modeling to visualization and distribution.
• Collaborate with Data Engineering and BI teams to ensure data quality, alignment on data structures, and optimization of analytical workflows.
• Leverage AI and automation tools to streamline reporting processes and empower business users with self-service insights.
  
  

• Act as a trusted analytics partner to GTM leadership, supporting Customer Success, Channel, Solutions Engineering, and Marketing teams with decision-ready insights.
• Work closely with the existing senior GTM analyst to maintain alignment, share measurement standards, and expand analytical coverage across GTM functions.
• Prepare executive presentations summarizing key findings, KPIs, and trends for leadership forums.
• Contribute to the continuous improvement of GTM measurement frameworks, KPIs definitions, and reporting methodologies.
  
  

• 3+ years of experience as a Business Analyst, GTM Analyst, Commercial Analyst, or Data Analyst within a SaaS or software-based environment.
• Strong understanding of SaaS KPIs and GTM performance metrics (ARR, churn, GRR, NRR, CAC, LTV, funnel metrics, pipeline).
• Experience analyzing Customer Success performance, channel sales processes, and top-of-funnel marketing measurements.
• Advanced SQL proficiency and hands-on experience with Snowflake (required).
• Expertise in Tableau (preferred) or similar BI visualization tools, with experience building end-to-end dashboards.
• Strong storytelling and presentation skills with the ability to influence senior stakeholders.
• Experience collaborating with GTM, FP&A, Finance, and BI/Data Engineering teams.
• Knowledge of CRM and GTM systems (Salesforce, Gainsight, marketing tools).
• Bachelor’s degree in Business, Finance, Economics, Industrial Engineering, Computer Science, or a related field.
  
  

• Experience working in a large-scale SaaS GTM organization
• Familiarity with dbt or similar data transformation tools.
• Experience applying AI/ML tools in analytics or automation