Accounting Analytics & BI Engineer

Anthropic · San Francisco, CAmid

In short

▸Ingeniero de analytics y BI para contabilidad en una startup de IA con impacto global.
▸Diseñas modelos de datos, pipelines y dashboards que automatizan procesos contables y apoyan la toma de decisiones.
▸Destaca el enfoque en automatización con IA para transformar tareas manuales en procesos escalables.

No se requiere inglés, pero el puesto es en inglés.

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What they ask for

✓Dominio de SQL y Python (u otro lenguaje orientado a objetos)
✓Experiencia con dbt y Airflow para orquestación y modelado de datos
✓Habilidad con herramientas de visualización como Looker, Tableau, Hex o Streamlit
✓Experiencia en diseño de experiencias de analytics autónomas para no técnicos
✓Historial de colaboración con equipos de Contabilidad o Finanzas para generar insights
✓Enfoque en calidad de datos, pruebas y documentación

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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 a member of our Finance Analytics and Business Intelligence team, you'll play an instrumental role in our company's mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs on. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting financial operations as we deploy safe, frontier AI at scale to the world. You'll partner closely with the Accounting organization to build the data foundation that turns financial and operational data into reliable, self-serve insight and automated processes. That means owning the data models and orchestration beneath accounting analytics, designing the dashboards and data applications stakeholders rely on day to day, and partnering across Data Engineering, Data Science, and the broader Finance organization to make sure every number is one the team can trust. Increasingly, it also means defining the future of AI-powered accounting automation; finding where AI can take on work that is manual today and reshape how the function operates. This is a foundational, hands-on role at the intersection of accounting, analytics, and business intelligence. You'll establish the durable, scalable systems the fast-growing function depends on, bringing the rigor of a culture of excellence to a function still being built from the ground up, and taking projects end to end, from an ambiguous question to a trusted, scalable system. Key responsibilities • Design, build, and maintain data models and orchestration pipelines (dbt, Airflow) that power analytics, reporting, and downstream financial workflows • Develop dashboards, visualizations, and data applications that give stakeholders self-serve access to their data • Translate stakeholders' business questions into well-defined metrics and tools, and turn the resulting analysis into clear recommendations • Build analytics that support financial reporting, the close process, reconciliations, and scenario analysis • Define the future of AI-powered accounting automation in partnership with stakeholders, streamlining workflows and reducing manual effort • Champion data quality, testing, and documentation across the data stack Minimum qualifications • Proficiency in SQL and Python (or another object-oriented programming language) • Experience with data modeling and orchestration tools (e.g., dbt and Airflow) • Experience with data visualization and business intelligence tools (e.g., Looker, Tableau, Hex, Streamlit) • Experience designing self-serve analytics experiences for non-technical stakeholders • A track record of partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis Preferred qualifications • Experience using AI to improve or automate analytical processes • Experience building data applications • Experience with cloud computing platforms (e.g., AWS, GCP) and their cost structures • Experience modeling financial impact, including forecasting and scenario analysis • A bias for action and urgency, not letting perfect be the enemy of effective • A strong disposition to thrive i

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