Paxos is the leading regulated blockchain infrastructure and tokenization platform. Its products are the foundation for a new, open financial system that can operate faster and more efficiently. Today, trillions of dollars are locked in inefficient, outdated financial plumbing that is inaccessible to millions of people. Paxos is replatforming the financial system to enable assets to instantaneously move anywhere in the world, at any time, in a trustworthy way.

Paxos partners with leading global enterprises to tokenize, custody and trade assets. Its blockchain solutions are used by leaders like PayPal, Interactive Brokers, Mastercard, Mercado Libre and Nubank. Paxos is licensed to engage in virtual currency business activity and is the issuer of numerous digital assets including PayPal USD (PYUSD), Pax Dollar (USDP) and Pax Gold (PAXG). Global Dollar (USDG) is issued by Paxos Digital Singapore, which is a Major Payments Institution supervised by the Monetary Authority of Singapore. USDG is also issued by Paxos Issuance Europe under the supervision of FIN-FSA and in compliance with MiCA. USDG is also available on Solana.

Prudentially regulated by FIN-FSA in Europe, the OCC in the US, the MAS in Singapore and FSRA in Abu Dhabi Global Market, Paxos is a leading fintech company with more than $500 million raised from leading investors including Oak HC/FT, Declaration Partners, Founders Fund and PayPal Ventures.

About the team:

The Analytics team is at the center of data-driven decision making at Paxos. We are a dedicated group of analysts and data professionals who transform raw data into insights that guide our product, operations, risk, and commercial strategies. Our team is passionate about building trustworthy metrics, intuitive dashboards, and clear analyses that help stakeholders move faster and with more confidence. We partner closely with teams across the company, leveraging deep understanding of our business and products to solve complex problems and unlock new opportunities through data.

About the role:

As a Data Analyst at Paxos, you will own analytics for Paxos stablecoins and rewards initiatives. You will combine strong SQL, dashboarding, and analytical skills with a product mindset to help teams make better decisions, design smarter incentives, and meet our regulatory and reporting obligations. You’ll work closely with Product, Engineering, Finance, and Account Management to turn complex data into clear, actionable insights in a lean, high‑ownership environment

What you’ll do:

Own the analytics for Paxos-issued tokens and Rewards as a product, including defining core metrics, building dashboards, and creating analyses that inform product, rewards, and network strategy.

Translate ambiguous business questions from Product, Engineering, Finance, and Account Management into well‑scoped data problems and deliver clear, decision‑ready outputs (dashboards, analyses, memos, reports).

Partner with the data engineering team and cross-functional stakeholders to shape and improve the underlying data models in Snowflake and dbt, ensuring the stablecoin and rewards domains are well‑modeled, trusted, and documented.

Use AI‑powered tooling (e.g., Snowflake native AI, Cortex, Claude/Claude Code, Streamlit apps) to accelerate analysis, improve model quality, and prototype new analytics workflows.

Contribute to regulatory reporting, audits, and exam requests as part of the team’s BAU responsibilities, ensuring accuracy, consistency, and timely delivery.

About you:

2-5 years of experience in data and analytics roles (e.g., Data Analyst, Analytics Engineer, Technical Product Analyst), ideally in a product or financial/fintech environment.

Advanced SQL proficiency, including querying large, complex datasets and reasoning about data model design - not just editing or copy‑pasting existing queries.

Hands-on dashboarding and data visualization experience with tools such as Looker, Metabase, or Tableau, including designing new dashboards and metric frameworks rather than only maintaining existing ones.

Strong analytical and quantitative skills, with practical experience in metrics development, data modeling concepts, and basic statistics, working on top of a modern warehouse + modeling stack (e.g., Snowflake + dbt or equivalent).

Comfort with Git-based workflows for managing analytics code and assets (SQL, dbt models, dashboard definitions), including branching, pull requests, code review, and CI/CD in the data stack.

Demonstrated ability to leverage AI in analytics workflows, ideally including Snowflake-native AI (e.g., Cortex), Claude Code, and Streamlit apps to “vibe code” dashboards or accelerate analysis and modeling work.

Excellent written and verbal communication skills, with the ability to explain complex technical and quantitative concepts to non-technical stakeholders and tailor messaging to product, engineering, finance, and account management audiences.

Strong stakeholder and requirements-gathering skills: able to collect, challenge, and distill business needs into clear, actionable deliverables (dashboards, analyses, reports), including regulatory reporting, audit, and exam requests as part of BAU work.

A growth mindset and high adaptability: eager to learn, comfortable with ambiguity, and willing to experiment with new tools and approaches (including AI), rather than being rigid or “set in your ways.”