GTM Business Analyst - Marketing

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, Exabeam, 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 are seeking a GTM Business Analyst with strong marketing analytics expertise to help Marketing make faster, more measurable growth decisions. You will partner with the CMO, Marketing Operations, SDR leadership, RevOps, Sales, Finance, and Data/BI to create a trusted view of marketing impact and investment efficiency. This hands-on role combines digital and web analytics, attribution, campaign optimization, and data storytelling in a high-growth B2B SaaS environment. Responsibilities Marketing Analytics & Insights • Analyze performance across digital channels, campaigns, segments, regions, and the customer journey. • Build measurement frameworks for awareness, engagement, lead generation, conversion, campaign effectiveness, and marketing ROI. • Develop and improve attribution models that assess the contribution of marketing touchpoints and inform investment decisions. • Analyze direct, indirect, partner, affiliate, paid, organic, and field marketing activities to optimize channel mix and ROI. • Measure channel marketing performance, including partner-sourced activity, co-marketing initiatives, partner engagement, and contribution to demand generation. • Identify opportunities to improve targeting, audience segmentation, campaign conversion, and marketing investment efficiency. • Analyze SDR productivity, lead follow-up, capacity, conversion, and marketing-to-SDR handoff effectiveness. Data & Analytics Operations • Build a scalable marketing data domain integrating campaign, web, CRM, marketing automation, partner, product, and commercial data. • Develop reliable data models and analytical datasets using dbt, Snowflake, and SQL. • Create self-service dashboards using Tableau, Looker, Power BI, or comparable visualization tools. • Partner with Marketing Operations and Data/BI on tracking, campaign taxonomy, data quality, governance, and metric definitions. • Use Generative AI and modern analytics tools to automate reporting and accelerate insight generation. Cross-Functional Collaboration • Act as a trusted partner to Marketing leadership on planning, budget allocation, and performance management. • Work closely with Marketing Operations, SDR, Channel, RevOps, Sales, Finance, and Data/BI teams to align measurement and improve execution. • Present clear, executive-ready insights and recommendations. Requirements • 3+ years of experience in marketing, digital, GTM, or RevOps analytics within B2B SaaS or technology. • Experience analyzing digital marketing, web behavior, campaigns, lead generation, funnel conversion, and marketing ROI. • Familiarity with channel and partner marketing measurement, including co-marketing, affiliate, and partner-sourced programs. • Hands-on experience with Salesforce, HubSpot, Marketo, Google Analytics, or comparable CRM, marketing automation, and web analytics platforms. • Experience developing or improving marketing attribution models. • Understanding of B2B SaaS and product-led growth (PLG) motions. • Experience measuring SDR productivity and lead-management performance. • Advanced SQL, Snowflake, and dbt experience. • Experience building dashboards in Tableau, Looker, Power BI, or similar tools. • Strong stakeholder management, data storytelling, and presentation skills. Preferred • 2+ years of marketing experience in B2B SaaS companies. • Experience with incrementality testing, experimentation, or marketing-mix measurement. • Experience with campaign-tracking design, UTMs, and marketing data-quality controls. • Experience in cybersecurity, networking, cloud, or enterprise software.