Analytics Engineer • Mid-Level

Who you are

You have a strong background in data engineering and analytics, with experience in designing scalable data architectures that support business intelligence tools. You are comfortable working with raw data and transforming it into trusted datasets that drive insights. Your creativity and pragmatism shine through in your ability to find effective solutions, whether through fully engineered pipelines or quick prototypes like Google Sheets.

You thrive in a data-driven culture and understand the importance of optimizing analytics infrastructure to support organizational goals. Your experience includes working with tools like BigQuery and Looker, and you have a knack for refactoring existing data models to enhance performance and scalability. You are a collaborative team player who enjoys experimenting with AI to improve workforce understanding and support.

What you'll do

In this role, you will be responsible for building and optimizing the data infrastructure that powers recruiting analytics at Anthropic. You will refactor and optimize existing BigQuery tables to create a scalable data foundation that supports traditional BI tools and enables AI-driven insights across the company. You will design scalable data architectures and build dimensional models that facilitate effective data analysis and reporting.

You will collaborate closely with cross-functional teams to ensure that the data infrastructure meets the needs of various stakeholders, including HR and management. Your work will directly impact how the company attracts, develops, and retains talent, making your contributions vital to the organization's mission of creating reliable and beneficial AI systems. You will also have the opportunity to experiment with new technologies and methodologies to continuously improve the analytics process.

What we offer

Anthropic offers competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. You will work in a collaborative office space in San Francisco, surrounded by a team of committed researchers, engineers, and policy experts. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our pursuit of AI safety.