Snowflake
Senior Analyst, GTM Analytics
- Employment type
- Full-time
- Location
- US-CA-Menlo Park
- Published
- Oct 20, 2026
- Last checked
- Oct 26, 2026
About this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Role Type: Hybrid - 3 days in Menlo Park, CA
Our Data Analytics and AI org (DAA) is actively seeking a Senior Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion. Examples of deliverables include account based marketing insights, agentic field marketing optimization, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage.
IN THIS ROLE YOU WILL:
- 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.
- Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI — presenting complex analytical findings to the team with clarity and impact. You measure success by decisions changed, not dashboards shipped.
- Master the Analytical Foundation: Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and Data Engineering teams to ensure insights are accurately surfaced — and step in hands-on-keys when needed to build, debug, or extend models.