Anthropic · 16 hours ago
Analytics & BI Engineer, Finance
Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The role of Analytics & BI Engineer in the Finance team involves establishing robust analytics engineering and business intelligence capabilities to support financial operations, ensuring accurate reporting and streamlined processes.
Artificial Intelligence (AI)Information TechnologyFoundational AIGenerative AIMachine Learning
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
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
Qualification
Required
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
Highly proficient in SQL and Python for data manipulation, analysis, and automation
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.)
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
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
Experience with data modeling, ETL processes, and building automated reporting solutions
At least a Bachelor's degree in a related field or equivalent experience
Preferred
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
Experience with GAAP vs. non-GAAP financial reporting
Familiarity with data governance best practices and experience implementing data quality frameworks
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$63.74BKey Investors
Coatue,D. E. Shaw & Co.,Dragoneer Investment Group,Founders Fund,GIC,ICONIQ Capital,MGXFidelity,ICONIQ Capital,Lightspeed Venture PartnersLightspeed Venture Partners
2026-02-12Series G· $30B
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
Recent News
2026-02-13
Sherwood News
2026-02-13
2026-02-13
Company data provided by crunchbase