Anthropic· Finance· San Francisco, CA
Analytics, Finance & Strategy
Classified Tasks (13)
Automate 0%Augment 54%Human-Only 46%
Augment (7)
AI assists, human decides
Deliver analysis and analytics infrastructure that enable Finance & Strategy to understand Anthropic's business.
analytical
Analyze revenue drivers, margin dynamics, compute economics, customer segments, and factors shaping the P&L.
analytical
Build canonical datasets that serve as single sources of truth for financial reporting.
technical
Build and maintain scalable data pipelines supporting finance and accounting analytics.
technical
Build and maintain dashboards and scaled reporting solutions that provide real-time financial visibility across the company.
technical
Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines.
technical
Streamline and automate recurring analytical workflows and ETL/ELT processes.
technical
Human-Only (6)
Requires human judgment
Produce high-impact, high-visibility analyses and deep dives for finance and executive leadership.
analytical
Validate and ensure accuracy, reliability, and trustworthiness of executive-level financial numbers and reports.
operational
Partner with Finance & Strategy teams (Product, Compute, GTM, Corporate) to answer key questions and streamline recurring analytical workflows.
communication
Collaborate closely with Data Engineering, Data Science & Analytics, and Finance & Strategy on cross-functional analytics projects.
communication
Establish analytics engineering and BI best practices for Finance & Strategy, including data management, governance, and reporting standards.
leadership
Drive adoption of data-informed decision making across the organization.
leadership
Job description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance & Strategy (F&S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world. This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science & Analytics, and Finance & Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business—revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth. Key responsibilities Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company Partner with Finance & Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows Establish analytics engineering and BI best practices for F&S, including data management, governance, and reporting standards Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics Champion data-informed decision making across the organization Minimum qualifications Experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance & Strategy, Data Infrastructure and Analytics Engineering Highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation Track record of producing analyses that have meaningfully influenced business or leadership decisions Extensive experience with data visualization and using Claude / AI tools for data analysis and BI Experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.) <li class="whitespace-normal brea