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 Senior GTM Business Analyst to join our fast-growing Business Analytics team, partnering closely with GTM leadership, Rev Ops, Customer Success, Channel, Marketing (To Fu), Finance, and Data/BI teams to scale and elevate our go-to-market analytics capabilities.

This role requires deep analytical expertise, strong business acumen, and the ability to influence senior stakeholders. You will take ownership of strategic GTM analytics initiatives, define measurement frameworks, and drive data-informed decision-making across multiple revenue-generating functions.

You will serve as a key thought partner to GTM leadership, shaping how performance is measured, interpreted, and optimized.

Responsibilities:

GTM Analytics & Performance Insights

• Own and evolve performance measurement frameworks across 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.

• Design and maintain scalable reporting models that provide executive-level visibility into GTM performance.

• Translate complex data into structured insights and strategic recommendations for senior leadership.

• Proactively identify growth opportunities, operational inefficiencies, and risk areas across the GTM engine.

Data & Analytics Operations

• Use SQL and Snowflake to efficiently extract, structure, and analyze GTM data.

• Design high-impact, end-to-end Tableau dashboards (preferred), from data modeling to visualization and distribution.

• Partner with Data Engineering and BI to shape data models, improve pipeline reliability, and elevate data governance standards.

• Drive automation and AI-enabled analytical solutions to improve insight velocity and self-service capabilities.

Cross-Functional Collaboration

• Act as a senior analytics partner to GTM executives and department heads.

• Mentor and collaborate with other analysts to ensure consistent definitions, reporting standards, and analytical rigor.

• Lead executive presentations and deliver insights in high-visibility forums.

• Continuously improve GTM measurement methodologies and analytical maturity across the organization.

Requirements:

• 5+ years of experience as a Business Analyst, GTM Analyst, Commercial Analyst, or Data Analyst within a SaaS or software-based environment.

• Deep understanding of SaaS business models and advanced GTM performance metrics (ARR, churn, GRR, NRR, CAC, LTV, pipeline dynamics, funnel optimization).

• Proven experience influencing senior stakeholders and driving strategic business decisions through data.

• Advanced SQL proficiency and strong hands-on experience with Snowflake (required).

• Expertise in Tableau (preferred) or similar BI visualization tools, including designing scalable executive 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.

Preferred

• 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

• Experience mentoring junior analysts or leading analytical initiatives.