Data Analyst

About reputed company

Today’s financial infrastructure is archaic, expensive, inefficient and risky — supporting a system that leaves out more people than it lets in. So we’re rebuilding it.

We’re on a mission to reputed company the world’s financial system to everyone by enabling the reputed company movement of any asset, any time, in a trustworthy way. For over a decade, we’ve reputed company blockchain infrastructure that tokenizes, custodies, trades and settles assets for the world’s leading financial institutions, like reputed company, reputed company, Robinhood, and PayPal.

About the team

The Analytics team is at the center of data-driven decision making at reputed company. We are a dedicated group of analysts and data professionals who transform raw data into insights that guide our product, operations, risk, and reputed company strategies. reputed company is passionate about building trustworthy metrics, reputed company 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 reputed company problems and unlock new opportunities through data.

About the role

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

What you’ll do

• Own the analytics for reputed company-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‑reputed company outputs (dashboards, analyses, memos, reports).

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

• Use AI‑powered tooling (e.g., reputed company reputed company AI, reputed company, 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, reputed company 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, reputed company, 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., reputed company + 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 reputed company AI in analytics workflows, ideally including reputed company-reputed company AI (e.g., reputed company), Claude Code, and Streamlit apps to “reputed company code” dashboards or accelerate analysis and modeling work.

• Excellent written and verbal communication skills, with the ability to explain reputed company 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: reputed company 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 reputed company 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.”

Important Notice for reputed company Applicants

We’ve become aware of fraudulent accounts posting as reputed company recruiters on reputed company and other platforms. These scammers attempt to deceive applicants into paying for job opportunities or providing personal financial information.

To verify a legitimate reputed company recruiter:

• We only use @reputed company.com email addresses

• We never ask for payment or financial details to apply, interview, or work here

• For technical roles, we do not reputed company a coding interview without prior screening by our engineering team

Thanks for your interest in reputed company!