Senior Analyst, GTM Analytics

Location: Menlo Park, California, United States; hybrid with 3 days per week in the Menlo Park office.

Salary: $138K–$180.6K annually.

Company

Snowflake develops a cloud data platform and AI capabilities for enterprise analytics.

What you will do

• Partner with Account Based Marketing executives to align analytics initiatives with business objectives, technical roadmaps, and investment decisions.
• Analyze and improve pipeline generation, conversion optimization, campaign ROI, and funnel leakage.
• Maintain and extend GTM data models, metrics, and pipelines using SQL, dbt, and Snowflake, collaborating with Analytics Engineering and Data Engineering.
• Build AI-powered analytics workflows and secure automation solutions for internal and stakeholder efficiency.
• Ensure data quality across Salesforce, Marketo, and Snowflake through automated testing, reconciliation, and infrastructure improvements.
• Present insights to Director+ stakeholders, represent the company at industry events, and engage with customers to share analytics best practices.

Requirements

• 5+ years of experience in Analytics or BI within large-cap technology companies or high-growth SaaS environments.
• Advanced SQL, hands-on dbt proficiency, and strong Python skills for data transformation, analysis, and AI-powered data applications.
• Experience partnering directly with Marketing leadership to drive strategic decisions involving pipeline, conversion rates, and campaign ROI.
• Experience with or strong interest in AI-driven analytics workflows, including semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces.
• Experience using Python and data application frameworks such as Streamlit.
• Proven experience with B2B marketing technology stacks, including Salesforce and Marketo, Eloqua, or HubSpot.
• Familiarity with Airflow, dbt, and Snowflake data pipeline ecosystems.
• Ability to present to, advise, and challenge Director+ stakeholders and work across cultures and time zones.

Culture & Benefits

• AI-native, experimental working environment focused on reinventing how work gets done.
• Low-ego culture with an emphasis on curiosity, rapid testing, and innovation.
• Equal opportunity employment.