Analytics & BI Engineer, Finance

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 & Accounting organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting our financial operations as we deploy safe, frontier AI at scale to the world.

In your role, you will use advanced analytics to drive strategic decision-making and sound operations for our accounting teams. You'll work at the intersection of finance, analytics, and data infrastructure to develop automated reporting systems, data quality frameworks, and scaled insights that support our various business models and entities. You’ll partner closely with Data Infrastructure, Finance Systems, Data/Analytics Engineering, and Finance & Accounting. You've worked in cultures of excellence in the past and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.

Note: we are hiring for multiple positions within the team, and you will be considered for all openings by applying to this role.

Responsibilities:

• Create processes and best practices for financial data management, governance, and reporting

• Build and maintain auditable, automated financial reporting systems, dashboards, and solutions that provide real-time insights to accounting and finance leadership

• Develop sophisticated revenue recognition analytics and monitoring to support our subscription- and consumption-based business model

• Partner with Finance & Strategy and Accounting teams to streamline close processes and financial reporting

• Design and implement audit support systems and documentation processes to facilitate external audits and compliance requirements

• Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines and infrastructure supporting key financial processes for revenue recognition, compute allocation, and consolidated reporting

• Champion data-informed decision making across the organization

You may be a good fit if you:

• Have 8+ years of experience in finance analytics, data engineering, or business intelligence with demonstrated experience partnering with Finance, Accounting, Data Infrastructure, and Finance Systems teams

• Are highly proficient in SQL and Python for data manipulation, analysis, and automation

• Have extensive experience with BI visualization tools such as Looker or Tableau; and have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)

• Have hands-on experience working with financial systems like Stripe and other ERP/financial platforms, and building downstream data models from these systems

• Possess strong financial acumen with deep understanding of accounting principles (GAAP vs. non-GAAP, revenue recognition, SOX), compute allocation and attribution, financial statements, and corporate finance processes

• Have a proven track record of collaborating with finance stakeholders to deliver impactful analytical solutions and process improvements

• 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

• Have experience with data modeling, ETL processes, and building automated reporting solutions

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

• Experience with complex compute attribution models

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

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary:
$270,000—$320,000 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 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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process