Accounting Analytics & BI Engineer

at Anthropic

📍 San Francisco, United States

USD 220,000-270,000 per year

MIDDLE

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 AWS @ 3 Airflow @ 3 BI Cloud Computing @ 3 Data Engineering Data Modeling @ 3 Data Science Data Visualization @ 3 GCP @ 3 Looker @ 3 Python @ 5 SQL @ 5 Tableau @ 3 dbt @ 3

Details

As a member of the Finance Analytics and Business Intelligence team, you will establish analytics engineering and business intelligence capabilities for the Accounting organization. You will build the data foundation that turns financial and operational data into reliable, self-serve insights and automated processes, while supporting accurate financial reporting, streamlined accounting processes, and financial operations.

You will own the data models and orchestration supporting accounting analytics, design dashboards and data applications, and collaborate with Data Engineering, Data Science, and Finance to ensure trusted data. The role also involves defining AI-powered accounting automation opportunities and developing scalable systems from ambiguous business questions through to reliable production solutions.

Responsibilities

Design, build, and maintain data models and orchestration pipelines using tools such as dbt and Airflow.
Develop dashboards, visualizations, and data applications that provide stakeholders with self-serve access to data.
Translate business questions into well-defined metrics and tools, and turn analysis into clear recommendations.
Build analytics supporting financial reporting, the close process, reconciliations, and scenario analysis.
Define and develop AI-powered accounting automation to streamline workflows and reduce manual effort.
Champion data quality, testing, and documentation across the data stack.

Requirements

Proficiency in SQL and Python, or another object-oriented programming language.
Experience with data modeling and orchestration tools such as dbt and Airflow.
Experience with data visualization and business intelligence tools such as Looker, Tableau, Hex, or Streamlit.
Experience designing self-serve analytics experiences for non-technical stakeholders.
Experience partnering closely with Finance or Accounting teams to drive business and financial outcomes and turn open questions and data into insightful analysis.
A bachelor's degree or equivalent combination of education, training, and experience.
Experience using AI to improve or automate analytical processes is preferred.
Experience building data applications is preferred.
Experience with cloud computing platforms such as AWS or GCP and their cost structures is preferred.
Experience modeling financial impact, including forecasting and scenario analysis, is preferred.
A bias for action, comfort with ambiguity, initiative, curiosity, and a passion for building safe, beneficial AI are preferred.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.