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.

Requirements

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.”

Benefits

Paxos offers a competitive total compensation and benefits package, including equity and bonuses based on both your individual performance and company performance.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata visualizationdata modelingmetrics developmentstatisticsdashboardingAI in analyticsdata analysisdata engineeringGit

Soft Skills

analytical skillsquantitative skillscommunication skillsstakeholder managementrequirements gatheringadaptabilitygrowth mindsetproblem-solvingcollaborationcritical thinking