snowflake - Staff Analyst, GTM Analytics
Requirements
• Relevant Experience: at least 6 years of experience in tech, management consulting, or investment banking, in an analytical role working with data sets, deriving insights, and making strategic recommendations • Business Acumen & Strategic Partnership: a track record of partnering directly with leadership to drive strategic decisions • Executive Presence: Comfortable presenting to, advising, and pushing back on VP+ stakeholders — with the ability to work across different cultures and time zones • AI & Innovation Literacy: Experience building and working with AI-driven workflows • GTM Domain Expertise: Prior experience in sales strategy, sales / business operations, or FP&A. Knowledge of SaaS business models and B2B channel structures • Technical Mastery: A background in Analytics, Business Intelligence or Data Science (SQL, Python, AI-driven development, dbt, Airflow) • 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. • 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
Responsibilities
• Be a Strategic Partner to Leadership: Partner with GTM executives to align analytics initiatives with global business objectives — driving QBRs, 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 executive stakeholders with clarity and impact. You measure success by decisions changed, not dashboards shipped. • Bridge Business and Technical Worlds: Collaborate across Sales, Operations, Finance, and Strategy teams to translate complex business questions into scalable analytical solutions — and communicate findings back in ways that drive alignment and action. • 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 BI 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: Drive AI Self-Service & Productivity by enabling stakeholders to query complex marketing and pipeline data using natural-language, AI-driven interfaces (semantic models, text-to-SQL, Cortex Analyst) — reducing reliance on manual ad-hoc reporting and letting leadership get answers faster without sacrificing rigor. • 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.
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