Accounting Analytics & BI Engineer na Anthropic

Híbrido - San Francisco, CA

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You will be a member of our Finance Analytics and Business Intelligence team, responsible for building and maintaining data models and orchestration pipelines, developing dashboards and self‑serve analytics experiences, and defining the future of AI‑powered accounting automation. The role involves collaborating across data engineering, data science, and finance to support accurate financial reporting, streamline accounting processes, and enable data‑driven decision making within Anthropic’s accounting organization.

Salary

USD 220,000 - 270,000

Requirements

Skills

  • Proficiency in SQL and Python (or another object-oriented programming language)
  • Experience with data modeling and orchestration tools (e.g., dbt and Airflow)
  • Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit)
  • Experience designing self-serve analytics experiences for non-technical stakeholders
  • A track record of partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis
  • Experience using AI to improve or automate analytical processes
  • Experience building data applications
  • Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures
  • Experience modeling financial impact, including forecasting and scenario analysis
  • A bias for action and urgency, not letting perfect be the enemy of effective
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
  • A deep curiosity and energy for pulling the thread on hard questions
  • A passion for Anthropic's mission of building safe, beneficial AI

Responsibilities

  • Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows
  • Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data
  • Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations
  • Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis
  • Define the future of AI-powered accounting automation in partnership with stakeholders, streamlining workflows and reducing manual effort
  • Champion data quality, testing, and documentation across the data stack

Technologies

SQLPythondbtAirflowLookerTableauHexStreamlitAWSGCP

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