Data Science, Finance & Strategy

Join Anthropic, a leading AI safety and research company, as an early member of our Finance Analytics and Business Intelligence team. In this role, you will deliver high-impact analyses that shape our understanding of the business and build the analytics infrastructure that supports our rapid growth. You will partner closely with cross-functional teams and have a direct impact on leadership's decision-making.

• 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.
• Are detail-oriented with a deep commitment to data accuracy
• Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance & Strategy, Data Infrastructure and Analytics Engineering
• Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation
• Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables
• Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives
• Have hands-on experience working with financial systems and building downstream data models from these systems
• Have a track record of producing analyses that have meaningfully influenced business or leadership decisions
• Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI
• Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)
• Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Familiarity with data governance best practices and experience implementing data quality frameworks
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Strong financial acumen with deep understanding of finance principles
• Knowledge of statistical analysis and advanced analytics techniques
• Prior experience in high-growth technology companies or startups
• Championed AI driven analytics and financial analysis within their organizations
• We encourage you to apply even if you do not believe you meet every single qualification
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this