Description
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.
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.
Key responsibilities include delivering high-impact analyses and deep dives, building and maintaining canonical datasets, dashboards, and scaled reporting solutions, partnering with Finance & Strategy teams, establishing analytics engineering and BI best practices, and championing data-informed decision making across the organization.
Minimum qualifications include experience spanning data analysis, business intelligence, and/or analytics engineering, proficiency in SQL and Python, a track record of producing analyses that have meaningfully influenced business or leadership decisions, and extensive experience with data visualization and using AI tools for data analysis and BI.
Preferred qualifications include 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, championing AI-driven analytics and financial analysis within their organizations, prior experience in high-growth technology companies or startups, and strong financial acumen with a deep understanding of finance principles.