Data Analyst

About the Company

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

About the team

The Data Science team is responsible for providing business intelligence services to the whole project and for deriving data-driven insights to support World’s key decisions. Because of our unique growth model of using a global network of Orb Operators to verify individuals’ unique humanness, we require a high-performing Data Science team that is able to manage and analyze large amounts of data generated by our products and operations. World’s privacy-maximizing approach imposes unique restrictions on how data is collected, stored, and used, making data science innovations critical to derive useful insights. We have earned a reputation for our technical expertise, hands-on approach, responsiveness, precision, and impactful solutions.

About the Opportunity

As the first Data Analyst on the Data Science team, you will be instrumental in generating insights that inform decisions across all departments and domains—ranging from product performance and operational monitoring to logistics and customer support optimization. This role has a strong focus on Business Intelligence, as both the Data Science team and its stakeholders rely heavily on high-quality reporting and data visualizations to drive key decisions in a fast-paced environment. In addition to working closely with the Data Science team, you will collaborate with teams across the broader Data Science & Economics group, including Economic Operations, Fraud & Risk Analytics and Data Engineering. You will report to the Director of Data Science. Your work will directly shape the quality and speed of data-driven decision-making at World.

In this role, you will

• Contribute to the business intelligence efforts of the Data Science team
• Create data models, charts, dashboards, alerts and reports for all departments across the company
• Collaborate closely with a high-performing team of data scientists, statisticians, economists and data engineers
• Work with an exciting, massive dataset, including Product data (e.g., user in-app behavior, notifications, experiments), blockchain transactions, operations data, and customer support data
• Work in a data-driven and scientific environment where every key decision is supported by thorough data analysis

About You

Location

Onsite in San Francisco

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