Analytics, Finance & Strategy

Job Application for Analytics, Finance & Strategy at Anthropic

Analytics, Finance & Strategy San Francisco, CA

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.)

Hands-on experience working with financial systems and building downstream data models from these systems

Able to translate complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives

Detail-oriented with a deep commitment to data accuracy

Thrives in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables

Operates with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact

Preferred qualifications

6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering

Championed AI driven analytics and financial analysis within their organizations

Prior experience in high-growth technology companies or startups

Strong financial acumen with deep understanding of finance principles

Knowledge of statistical analysis and advanced analytics techniques

Familiarity with data governance best practices and experience implementing data quality frameworks

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $270,000 - $320,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of…