Cato Networks is the converged network and security cloud for the AI era. 

As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. 

Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. 

 

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.