Finance Analytics & BI, Finance & Strategy

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 establishing robust analytics engineering and business intelligence capabilities for our Finance & Strategy (F&S) organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining F&S processes, and developing data products as we deploy safe, frontier AI at scale to the world. 

In this experienced individual contributor role as the first team member focused on analytics engineering for Finance & Strategy, you will use advanced analytics to drive strategic decision-making. Using your generalist analytics engineering skillset, you'll work at the intersection of finance, analytics, and business intelligence to develop automated reporting systems, data quality frameworks, and scaled insights that support our various business models and entities. You’ll partner closely across Data Infrastructure, Data Science & Analytics, Finance Systems, and Finance & Strategy. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust, scalable systems and processes as our company goes through a phase of rapid growth.

Responsibilities:

• Evolve analytics engineering and BI for Finance & Strategy at Anthropic, creating processes and best practices for financial data management, governance, and reporting
• Build and maintain canonical datasets, dashboards, and scaled insights solutions that provide real-time insights to finance and executive leadership
• Partner with Finance & Strategy teams (Product, Compute, GTM, and Corporate) to streamline recurring processes and increase velocity for analytical deep dives
• Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines and infrastructure supporting accounting analytics
• Champion data-informed decision making across the organization

You may be a good fit if you:

• Have 6+ years of hands-on experience in finance analytics, business intelligence, or analytics engineering with demonstrated experience partnering directly with Finance & Strategy, Data Infrastructure, and Financial Systems teams
• Are highly proficient in SQL and Python for data manipulation, ETL/ELT processes, analysis, and automation
• Have extensive experience with BI visualization tools such as Looker, Tableau
• Have experience with cloud platforms (AWS, GCP), modern data stack tools (dbt, Airflow, etc.)
• Have hands-on experience working with financial systems like NetSuite, Stripe, or other ERP/financial platforms, and building downstream data models from these systems
• Excel at translating complex business requirements into technical solutions and can communicate effectively with both technical and non-technical stakeholders
• Are detail-oriented with a commitment to data accuracy and have experience building robust, scalable analytical solutions
• Thrive in fast-paced environments and can manage multiple priorities while maintaining high-quality deliverables

Strong candidates may have:

• Relevant certifications in financial systems or business intelligence platforms
• Prior experience in high-growth technology companies or startups
• Knowledge of statistical analysis and advanced analytics techniques
• Experience with financial planning and analysis (FP&A) processes and systems
• Strong financial acumen with deep understanding of finance principles (GAAP vs. non-GAAP, revenue recognition), financial statements, and corporate finance processes
• Familiarity with data governance best practices and experience implementing data quality frameworks

 

The expected salary range for this position is:

Annual Salary:$265,000—$315,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

Visa sponsorship: We do sponsor vis