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Sobre esta vaga de Staff Data Analyst na Circle

Circle · Remoto · New York City - remote first in US

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you’ll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

What you’ll be responsible for:

As a key member of the Commercial Intelligence and Analytics team, you will take on a strategic role that combines advanced analytics, stakeholder partnership, and AI driven innovation. You will lead the development of scalable data products and analyses that directly support Circle’s Business and Marketing functions, while also identifying opportunities to incorporate AI tools and methodologies to enhance how insights are delivered across the business. This role sits at the intersection of data strategy and execution, helping the company make smarter decisions through high quality analysis, forward thinking automation, and technical leadership.

What you'll work on:

  • Delivering high impact analysis and reporting to support the Business and Marketing teams in understanding performance, risk, and opportunity
  • Designing and implementing scalable data models, dashboards, and pipelines that support accurate, self-service analytics
  • Identifying and leading the implementation of AI and ML tools to streamline data workflows and generate predictive insights
  • Partnering with senior leadership and the AI Engineering team to deliver insights and workflows that improve customer experience and maximize the value of strategic partnerships
  • Building and maintaining high quality documentation to support repeatable and transparent analysis
  • Driving operational excellence by applying strong data architecture and AI methods to enhance the effectiveness of business systems and workflows
  • Mentoring team members and contributing to best practices in analytics engineering and AI adoption

What you’ll bring to Circle:
Core 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 to build 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 the ability to explain technical concepts to non-technical audiences
  • Strong knowledge domain of blockchain ecosystem

Preferred Requirements:

  • 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/familiarity with Slack, Apple MacOS and GSuite.

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $157,500 - $190,833

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out to [email protected] for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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Como este salário de Data Analyst se compara

Esta vaga paga $174,167/yr — acima da faixa típica para vagas de Data Analyst.

$62,500 a mediana $103,458 $157,425

Faixa típica $80,200–$129,281/yr, com base em 950 vagas de Data Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Analyst →

Sobre a Circle

Circle believes in a future where digital dollars work securely around the world to create a more prosperous global economy for everyone. To accomplish this, we created USDC, a digital currency backed by the US dollar and always redeemable 1:1. We work closely with regulators to ensure our digital dollar guides and surpasses the standards for stablecoins. By doing this, USDC has the potential to change how money moves around the world. Our values of Multistakeholder, Mindful, Driven by excellence, and High integrity drive us to succeed. Valuing our employees as stakeholders is about creating an environment where people can thrive and grow, be challenged and learn constantly – an environment

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