Senior GTM analyst

As a Senior GTM Analyst at Fireblocks, you'll shape data-informed decisions across Sales, Marketing, Customer Success, and Revenue Operations. You'll combine strong analytical fundamentals with AI-native ways of working, managing multiple initiatives and collaborating closely with analysts, GTM leaders, and business stakeholders to drive strategic insights across a digital asset infrastructure platform trusted by major financial institutions.

What you'll do

• Build AI-powered analytical solutions that let stakeholders answer their own questions, including semantic layers and views, database agents, and conversational analytics on top of the data warehouse.
• Perform deep data analysis to uncover trends, inform go-to-market strategy, and deliver recommendations that enhance growth, customer experience, and operational efficiency.
• Partner with GTM leadership to define clear KPIs across the funnel including pipeline, conversion, ARR, retention, expansion, and churn that reflect both GTM performance and company goals.
• Own the quality of AI-generated analysis by designing and running evaluations, validating accuracy against ground truth, and iterating on prompts and semantic definitions to improve reliability.
• Automate recurring analysis and reporting with AI-assisted workflows, freeing time for higher-value analytical work.
• Work with Data Engineers on scalable, consistent data models that enable deeper insights, including customer segmentation, account scoring and prioritization, and agent-driven automation.
• Use AI-assisted development tools such as Claude Code and Cursor to accelerate delivery and raise your own engineering velocity.
• Present insights in a clear and professional manner to support decision-making across the organization.

What you bring

• 5+ years of experience as an analyst, with a focus on GTM, revenue, sales, or marketing analytics.
• Strong analytical and problem-solving skills, with a solid understanding of statistical methods, predictive modeling, and attention to detail.
• Hands-on experience with LLMs in a working context: prompt engineering, agent-based tooling, and evaluating model output quality.
• Healthy skepticism toward AI output, with the judgment and rigor to verify results before they reach stakeholders.
• Proven ability to lead and deliver projects in a dynamic, fast-paced environment.
• Clear and effective communication skills, able to present complex data insights and AI concepts to both technical and non-technical stakeholders.
• Self-motivated and collaborative approach, with the ability to work independently as part of a global team.
• Proficiency in data warehouse modeling, ETL processes, and advanced SQL querying.

Nice to have

• Practical knowledge of MCP, database agents, and semantic views or YAMLs, with Snowflake as a database agent platform.
• Experience working with CRM and GTM systems data such as Salesforce, marketing automation, and customer success platforms.
• Experience with dbt, with dbt Cloud preferred, for analytics engineering workflows.
• Familiarity with financial services, fintech, digital assets, or Web3.

About Fireblocks

Fireblocks is bringing global finance onchain. Backed by over $1 billion in capital, the company is a premier digital asset infrastructure provider trusted by thousands of financial institutions including banks, payment providers, fintechs, and global corporates such as BNY Mellon, BNP Paribas, ANZ Bank, Western Union, Stripe, and Revolut. The enterprise-grade platform and network have powered over $14 trillion in digital asset transfers worldwide.