Analytics Engineer

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development through research and engineering.
$265,000 - $315,000
Data
Staff Software Engineer
Hybrid
101 - 500 Employees
5+ years of experience
AI

Description For Analytics Engineer

Anthropic is seeking an Analytics Engineer to join their Data Science & Analytics team as an early member. This role is crucial in building the foundation to scale analytics across the organization. The position offers a competitive salary range of $265,000 - $315,000 USD and is based in San Francisco with a hybrid work arrangement.

The ideal candidate will collaborate with Engineering, Product, GTM, and other teams to build scalable solutions for data transformation and insights. They will be responsible for ensuring reliable metrics access that can scale with company growth. The role requires expertise in SQL, Python, dbt, and experience with visualization tools like Hex.

Anthropic's mission focuses on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company operates as a public benefit corporation and offers comprehensive benefits including visa sponsorship, parental leave, flexible working hours, and generous vacation time.

The work environment is highly collaborative, emphasizing big science approaches to AI research. The team values impact-driven work and views AI research as an empirical science. The company's research continues important work in areas like GPT-3, Circuit-Based Interpretability, and AI Safety.

This role requires 5+ years of experience in Analytics Data Engineering or similar roles, with a strong background in building and reporting key company-wide metrics. The position demands someone who can thrive in ambiguity, take initiative, and maintain high data integrity standards while building scalable analytics solutions.

Anthropic encourages applications from diverse candidates, including those who may not meet every qualification, recognizing the importance of varied perspectives in AI development. The company maintains a hybrid work policy requiring at least 25% office presence and offers visa sponsorship support.

Last updated a minute ago

Responsibilities For Analytics Engineer

  • Understand stakeholder data needs and translate into technical requirements
  • Define, build and manage key data pipelines in dbt
  • Establish high data integrity standards and SLAs
  • Develop insightful and reliable dashboards for core metrics
  • Build foundational data products and tools for self-serve analytics
  • Influence Product and GTM teams roadmap from data systems perspective
  • Become an expert in organizational data models and architecture

Requirements For Analytics Engineer

Python
  • 5+ years of experience as an Analytics Data Engineer or similar roles
  • Expertise in building multi-step ETL jobs through dbt
  • Proficiency with Airflow and GitHub
  • Expertise in SQL and Python
  • Experience with visualization tools like Hex
  • Bias for action and urgency
  • Full-stack mindset
  • Experience building Analytics Data Engineering function at start-ups
  • Strong disposition to thrive in ambiguity

Benefits For Analytics Engineer

Visa Sponsorship
Parental Leave
  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation
  • Flexible working hours
  • Office space

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