# Senior Analyst, GTM Analytics at Snowflake

- Company: Snowflake
- What the company does: Snowflake powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud—eliminating silos and accelerating innovation. Backed by Sequoia.
- Company website: https://www.snowflake.net/
- Type: Startups
- Level: Senior
- Location: US-CA-Menlo Park
- Work setup: On-site
- Pay: $138K to $181K base salary per year (USD)
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://jobs.ashbyhq.com/snowflake/bf452bd0-2959-4110-8cf5-c6dfe69e92fa
- Page: https://www.1752.vc/careers/jobs/snowflake-senior-analyst-gtm-analytics/

## About the role

Be a Strategic Partner to Core Marketing Functions: Partner with Account Based Marketing executives to align analytics initiatives with global business objectives — active GTM alignment, technical roadmap strategy, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it.

## What they're looking for

- Business Acumen & Strategic Partnership: A track record of partnering directly with Marketing leadership to drive strategic decisions. You think in terms of pipeline, conversion rates, and campaign ROI — not just tables and joins
- AI & Innovation Literacy: Experience with or strong interest in building AI-driven analytics workflows — including semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces — using Python and data app frameworks like Streamlit
- Marketing Domain Expertise: Proven experience with B2B marketing technology stacks (Salesforce, Marketo/Eloqua/HubSpot) and familiarity with the data pipeline ecosystem (Airflow, dbt, Snowflake)
- Executive Presence: Comfortable presenting to, advising, and pushing back on Director+ stakeholders — with the ability to work across different cultures and time zones
- We’re looking for people who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake
- Are you up for the challenge?

Tags: Data Analytics and AI