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Finance Analytics & BI, Accounting
Finance Analytics & BI, AccountingAnthropic • San Francisco, CA, United States
Finance Analytics & BI, Accounting

Finance Analytics & BI, Accounting

Anthropic • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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 Accounting organization. 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.

Responsibilities

  • Establish the foundation for accounting analytics and BI at Anthropic, creating processes and best practices for financial data management, governance, and reporting.
  • Build and maintain 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 Accounting teams (Corporate, International, Technical, Revenue, FinOps) 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 accounting analytics.
  • Champion data‑informed decision making across the organization.

You may be a good fit if you :

  • Have 8+ years of experience in finance analytics, business intelligence, or financial systems analysis with demonstrated experience partnering with Accounting, Data Infrastructure, and Financial 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 NetSuite, Stripe, or 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), 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.
  • 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.

    $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 sponsor visas for qualified candidates, but may not be able to sponsor all applicants.

    We encourage you to apply even if you do not believe you meet every single qualification.

    As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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