Accounting Analytics & BI Engineer
Anthropic · San Francisco, CA | New York City, NY · Finance · listed November 4, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$270,000 – $345,000 USD
Requirements listed
5
Length
1,119 words
In the posting’s own words
As a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world.
What it asks for · 5
- 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
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Data
- Airflow2×
- dbt2×
- Data modeling
- Looker
- Tableau
Cloud & infra
- AWS
- GCP
Languages
- Python
- SQL
Ways of working
- Technical writing
- Testing
Go to market
- Forecasting
Words the posting leans on
- data15×
- accounting8×
- experience8×
- analytics7×
- financial7×
- stakeholders5×
- analysis4×
- business intelligence4×
- questions4×
- build3×
- data applications3×
- finance3×
- function3×
- orchestration3×
- processes3×
- self-serve3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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