Senior Analyst, GTM Analytics (AI)

Location: Hybrid, 3 days per week in Menlo Park, California, United States

Salary: $138,000–$180,600 per year

Company

Snowflake provides a data platform focused on enabling analytics, AI, and agentic enterprise use cases.

What you will do

• Partner with Account Based Marketing executives to align analytics initiatives, technical roadmaps, and investment decisions with business objectives.
• Analyze pipeline generation, conversion optimization, campaign ROI, and funnel leakage to influence strategic decisions.
• Maintain and extend GTM data models, metrics, and pipelines using SQL, dbt, and Snowflake.
• Build AI-powered analytics workflows and secure data applications that improve internal and stakeholder efficiency.
• Ensure data integrity across Salesforce, Marketo, and Snowflake through automated testing, reconciliation, and governance improvements.
• Present analytical insights to executives, customers, and industry audiences while promoting analytics best practices.

Requirements

• 5+ years of Analytics or Business Intelligence experience in large-cap technology companies or high-growth SaaS environments.
• Advanced SQL, hands-on dbt, and strong Python skills for data transformation, analysis, and AI-powered applications.
• Experience partnering with Marketing leadership on pipeline, conversion, and campaign ROI decisions.
• Experience with B2B marketing technology such as Salesforce, Marketo, Eloqua, or HubSpot.
• Familiarity with Airflow, dbt, Snowflake, semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces.
• Ability to work in a hybrid arrangement with 3 days per week in Menlo Park, California and collaborate across cultures and time zones.

Nice to have

• Experience building AI-driven analytics workflows and Streamlit data applications.
• Experience representing analytics or business intelligence work at industry events.

Culture & Benefits

• AI is treated as a high-trust collaborator in everyday work.
• Work in a fast-moving, experimental environment focused on testing new capabilities.
• Collaborate with Marketing, Analytics Engineering, Data Engineering, and customers.
• Participate in an equal-opportunity workplace.