Top Blockchain Data & Analytics Jobs in New York City, NY

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The role involves leading client loyalty programs, managing performance analytics, delivering insights, and improving cardholder retention. It requires strong analytical skills, client relationship management, and strategic direction.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

The Senior Data Analyst will develop and maintain ETL pipelines, conduct data analysis on large datasets, and design interactive dashboards to support data-driven decisions.

Lead the development and execution of a global privacy program, manage privacy operations, and ensure compliance with privacy regulations.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

The Quantitative Researcher will analyze crypto markets, build trading strategies, and develop systems for performance analysis and risk management.

The Blockchain Research Analyst will transform blockchain data into actionable insights, build dashboards, analyze trends, and create narratives for the crypto market.

Lead design and implementation of scalable batch and streaming data infrastructure. Build and maintain ETL/ELT pipelines, ensure data quality and observability, troubleshoot production issues, mentor engineers, and partner with cross-functional teams to deliver reliable, self-serve data products.