Description
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.
You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust.
Key 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
Minimum qualifications:
- 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
Preferred qualifications:
- 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
The annual compensation range for this role is $220,000-$270,000 USD.