Top Web3 Data & Analytics Jobs

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.

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 Digital Analytics Specialist will manage Google Analytics, tag events, monitor SEO using Google Search Console, and integrate data into Datorama and Power BI.

This role involves handling data entry tasks, managing data, and utilizing tools like Excel and Google Docs while providing strong communication and support to clients.

The Analytics Engineer will build data models, support financial functions, and collaborate with finance and crypto engineering teams to enhance data operations.

Produce forward-looking analytics and predictive models to inform GTM strategy. Build interactive dashboards, scenario analyses, and executive reports; partner with Sales, Marketing, and Data teams to improve data quality, governance, and decision-making.

The Data Analyst will perform data analysis and management focusing on compliance and regulatory reporting, automating data solutions, and delivering actionable insights through dashboards.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

The Digital Technology Admin will support IT systems and operations, manage employee onboarding, and troubleshoot network issues to enhance overall productivity.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.