Staff Analyst, GTM Analytics

Role Summary

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.

Our Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion. Examples of deliverables include agentic campaign activation platform, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage.

This is a hybrid (3 days in office) role in Menlo Park

• Be a Strategic Partner to Leadership: Partner with 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.
• Amplify Reach with AI & Automation: Automating trivial workflows is just the surface - transform the way we work through AI systems and architecting secure solutions for both internal and stakeholder efficiency.
• Champion Data Quality & Governance: Ensure data integrity across source systems (Salesforce, Marketo, Snowflake) through automated testing and reconciliation. Spearhead data infrastructure improvements and best practices the team can trust at scale.
• Establish Thought Leadership: Represent the company in the business intelligence space at industry events and champion innovation across the analytics org. Engage with customers regularly to share best practices and evangelize our work.

Are you up for the challenge?

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Responsibilities

• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Requirements

OUR IDEAL CANDIDATE WILL HAVE

• Technical Mastery: 7+ years of experience in Analytics/BI within large-cap tech companies or high-growth SaaS environments; featuring advanced SQL, hands-on dbt proficiency, and strong Python skills for data transformation, analysis, and building AI-powered data applications.
• 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 VP+ 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.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.