Senior Data Analyst, Payments

Circle Internet Financial • San Francisco, CA

3d • Remote

About The Position

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. 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 and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: As a Data Analyst at Circle, you’ll work closely with business partners to better understand our products, better understand the ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. One of our big bets is on payments. We’ve announced our Circle Payment Network and are committed to building an amazing payments product onchain. If you are curious about data, enjoy deriving insights, have experience improving data insights, have experience in payments, and are motivated by impacting business, we want to hear from you.

Requirements

• Bachelor’s Degree or equivalent experience in a quantitative major (Finance, Accounting, Economics, Mathematics, Engineering)
• Strong analytical and data skills, including top notch SQL skills.
• Good communication skills - be able partner across the organization and identify business needs and difficulties, articulate issues clearly and concisely, and present effectively in both oral and written presentations to all levels in the organization
• Strong business sense and the ability to work through complex and ambiguous business requirements
• Self-starter - an entrepreneurial spirit that thrives in a fast-paced environment, deals well with ambiguity and focuses on driving impact
• 4+ years of industry experience in data analytics
• Expert in data analyses using SQL
• Good understanding of statistics and experience applying them to solve business problems
• Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, crypto ecosystem, or risk analytics

Nice To Haves

• Ideally (but not necessary to apply), you will also be able to build simple pipelines to help scale yourself
• Prior experience with visualization using Superset, Tableau or similar BI tools
• Prior experience with payments, crypto, or both is highly desire
• Basic understanding of Python is an added advantage

Responsibilities

• Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights
• Perform strategic analysis and research to identify new opportunities where business can be improved
• Create data visualizations to translate analytic results for broad understanding across the business
• Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team
• Partner with leaders effectively employing clear and structured communication to tell a “story” focused on business insights & data
• Develop strategic problem-solving, quantitative analytics, and communication skills

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees