Staff Analyst, GTM Analytics

Snowflake • Menlo Park, CA

2d • Hybrid

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is hiring a Staff Analyst, GTM Analytics within the Data Analytics and AI org (DAA) . In this role, you will be the lead technical execution partner for the Services Delivery (SD) organization. You will own the development of core data models, high-impact reporting, and the implementation of AI-driven analytical tools that provide deep visibility into project health and delivery performance. You will be responsible for building the "plumbing" that makes our data accessible, reliable, and AI-ready for our global delivery teams. This role requires in-person attendance in either our Menlo Park (CA), Dublin (CA), Bellevue (WA), or New York (NY) office at least 3 days per week.

Requirements

• Technical Excellence: 8+ years of experience in Analytics/BI, with a heavy emphasis on advanced SQL and hands-on dbt proficiency for building production-grade data pipelines.
• AI & App Literacy: Experience building data structures for AI consumption and a working knowledge of Python for data manipulation or building interactive apps (e.g. Streamlit ).
• Domain Expertise: Strong familiarity with Professional Services or Consulting operations and the CRM/PSA ecosystem (e.g. Salesforce) . You understand how to measure utilization, project margins, and delivery milestones.
• Execution Mindset: A proven track record of taking a project from a vague business request to a fully automated, production-ready analytical solution.
• Strong Communication: The ability to explain technical data concepts to business stakeholders and collaborate effectively across the Analytics Engineering and Product teams.

Responsibilities

• Build the Foundation: Develop and maintain core analytical data models (via dbt ) for Services Delivery. You will ensure that datasets for project tracking, resource utilization, and financial metrics are accurate, optimized, and governed.
• Operationalize AI Workflows: Implement AI-assisted "skills" and self-service solutions that help business users interact with data naturally. You will transform complex datasets into AI-friendly structures that power internal agents and automated summaries.
• Deliver High-Impact Analytics: Create and own the suite of dashboards (via Sigma and Streamlit) used by Services leadership to track delivery speed, quality, and resource staffing pipelines.
• Translate Logic to Code: Partner with Services Delivery stakeholders to document business rules and translate them into technical requirements and scalable data models.
• Guardian of Data Quality: Perform deep-dive reconciliations between CRM/PSA systems (Salesforce) and internal data models to ensure that our reporting is the undisputed "Source of Truth."
• Enable Self-Service: Act as a technical mentor to the broader team and business users, driving adoption of new AI tools and ensuring that delivery leads can get the answers they need without manual intervention.
• Collaborate Across DAA: Work closely with Analytics Engineering to ensure our Services data models are integrated with the broader GTM data infrastructure and follow Snowflake’s best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees