Das ist der Job
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
Darum lohnt es sich
Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization.
You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across t We want AI to be safe and beneficial for our users and for society as a whole.
You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights.
