Staff Data Analyst

Circle Internet Financial • New York City, NY

9d • Remote

About The Position

As a key member of Circle’s Commercial Intelligence and Analytics team, the Staff Data Analyst combines advanced analytics, stakeholder partnership, and AI-driven innovation. The role leads the development of scalable data products and analyses that support Circle’s Business and Marketing functions, while identifying opportunities to use AI tools and methods to improve how insights are delivered across the business. It operates at the intersection of data strategy and execution, helping the company make better decisions through high-quality analysis, automation, and technical leadership.

Circle is an internet financial platform company building digital assets, payment applications, and programmable blockchain infrastructure. Its platform includes USDC, Circle Payments Network, and Arc. Circle describes its work environment as flexible and encourages new ideas and stakeholder participation.

Requirements

• 7+ years of experience in sales analytics, business analytics, or a related field.
• Experience delivering advanced analytics to support strategic business decisions.
• Strong SQL and data modeling skills for building scalable, reliable data products.
• Proficiency using APIs and Python to extract, transform, and analyze data across systems.
• Skill in developing prompts for AI tools such as ChatGPT, Gemini, or similar systems.
• Demonstrated success leading cross-functional projects that drive measurable impact.
• Ability to partner with senior stakeholders to align data initiatives with business goals.
• Strong communication skills, including explaining technical concepts to non-technical audiences.
• Strong knowledge of the blockchain ecosystem.

Nice To Haves

• Familiarity with modern analytics tools such as Superset and Hex.
• Understanding of AI models, embeddings, and frameworks.
• Familiarity with advanced marketing measurement models such as multi-touch attribution.
• Experience or familiarity with Slack, Apple macOS, and GSuite.

Responsibilities

• Deliver high-impact analysis and reporting to help Business and Marketing teams understand performance, risk, and opportunity.
• Design and implement scalable data models, dashboards, and pipelines for accurate, self-service analytics.
• Identify and lead implementation of AI and machine learning tools to streamline data workflows and generate predictive insights.
• Partner with senior leadership and the AI Engineering team to deliver insights and workflows that improve customer experience and maximize the value of strategic partnerships.
• Build and maintain high-quality documentation that supports repeatable and transparent analysis.
• Apply data architecture and AI methods to improve business systems and workflows.
• Mentor team members and contribute to best practices in analytics engineering and AI adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed