Top Cryptocurrency Data & Analytics Jobs

Lead analytics strategy for Digital products including Authentication and Tokenization. Manage a team to provide data-driven insights for business growth.

The Vice President of Digital Product Analytics & Insights will lead analytics strategy for Digital products, manage a team, and drive data-driven decision-making across the business units.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

As a Data Analytics Engineer, you'll design clean datasets in Snowflake for AI tooling, ensuring teams access reliable data for decision-making.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

Lead the analytics function at Current, managing embedded analytics teams, guiding complex analyses, and ensuring data-driven insights inform strategic decisions.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

The Investment Associate will evaluate liquid cryptocurrency investment opportunities, conduct analyses, perform due diligence, manage the token portfolio, and engage with the blockchain community.

Support RevOps by building and maintaining dashboards, ensuring revenue data accuracy, preparing executive and Board reporting, conducting ad hoc analyses, identifying data quality issues, and communicating insights to technical and non-technical stakeholders.

As a Data Analyst, Growth at Kraken, you will analyze complex marketing data to provide actionable insights that enhance client acquisition, retention, and decision-making through data engineering, reporting, and experimentation.

The role involves building and maintaining data infrastructure for compliance analytics, ensuring reliable data processing, and collaborating with data scientists and ML engineers to support compliance functions.