Accounting Analytics & BI Engineer

Anthropics 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.

As a member of our Finance Analytics and Business Intelligence team youll play an instrumental role in our companys mission of building safe and beneficial AI by establishing the analytics engineering and business intelligence capabilities our Accounting organization runs 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.

Youll 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. Youll 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.

• 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

• 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

• 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 in ambiguity taking initiative to create clarity and forward progress
• A deep curiosity and energy for pulling the thread on hard questions
• A passion for Anthropics mission of building safe beneficial AI

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.