Analytics Engineer

Job Description

Anthropic is seeking an Analytics Engineer to join their Data Science & Analytics team. This role involves building the foundation to scale analytics across the organization. The Analytics Engineer will collaborate with stakeholders in Engineering, Product, GTM, Finance, and other areas to build scalable solutions that transform data into key metrics, reporting, and insights. They will ensure teams have access to reliable and accurate metrics that can scale with the company’s growth and lead projects to enable self-serve insights for data-driven decisions.Role involves:

• Understanding data needs and translating them into technical requirements.
• Defining, building, and managing data pipelines in dbt.
• Establishing high data integrity standards and SLAs.
• Developing insightful and reliable dashboards.
• Building foundational data products and tools for self-serve analytics.
• Influencing the future roadmap of Product and GTM teams.
• Becoming an expert in the organization’s data models and architecture.

Requirements:

• 6+ years of experience as an Analytics Data Engineer or similar roles.
• Expertise in building multi-step ETL jobs through tooling like dbt.
• Proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python.
• Experience building data reporting and dashboarding in visualization tools like Hex.
• A bias for action and urgency.
• A “full-stack mindset”.
• Experience building an Analytics Data Engineering function at start-ups.
• A strong disposition to thrive in ambiguity.

Anthropic offers:

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• A lovely office space.