Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
AWS @ 3
Airflow @ 3
BI
Cloud Computing @ 3
Data Engineering
Data Modeling @ 3
Data Science
Data Visualization @ 3
GCP @ 3
Looker @ 3
Python @ 5
SQL @ 5
Tableau @ 3
dbt @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a member of the Finance Analytics and Business Intelligence team, this role will establish the analytics engineering and business intelligence capabilities that support the Accounting organization. The position focuses on building reliable financial reporting, streamlining accounting processes, supporting financial operations, and developing AI-powered accounting automation.
The role partners with Accounting, Data Engineering, Data Science, and Finance teams to create trusted data models, dashboards, data applications, and automated processes. It involves taking projects end to end, from ambiguous business questions to scalable, trusted systems.
Responsibilities
- Design, build, and maintain data models and orchestration pipelines using tools such as dbt and Airflow.
- Develop dashboards, visualizations, and data applications that provide stakeholders with self-serve access to data.
- Translate business questions into well-defined metrics and tools, and turn analysis into clear recommendations.
- Build analytics supporting financial reporting, the close process, reconciliations, and scenario analysis.
- Define the future of AI-powered accounting automation in partnership with stakeholders.
- Streamline workflows and reduce manual effort through automation.
- Champion data quality, testing, and documentation across the data stack.
Requirements
Minimum Qualifications
- Proficiency in SQL and Python or another object-oriented programming language.
- Experience with data modeling and orchestration tools, such as dbt and Airflow.
- Experience with data visualization and business intelligence tools, such as Looker, Tableau, Hex, or Streamlit.
- Experience designing self-serve analytics experiences for non-technical stakeholders.
- Experience partnering closely with Finance or Accounting teams to drive business and financial outcomes, turning open questions and data into clear, insightful analysis.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- Relevant field of study demonstrated through coursework, training, or professional experience.
Preferred Qualifications
- Experience using AI to improve or automate analytical processes.
- Experience building data applications.
- Experience with cloud computing platforms, such as AWS or GCP, and their cost structures.
- Experience modeling financial impact, including forecasting and scenario analysis.
- Bias for action and urgency, with the ability to balance effectiveness and perfection.
- Ability to thrive in ambiguity and take initiative to create clarity and forward progress.
- Curiosity and energy for investigating complex questions.
- Passion for Anthropic's mission of building safe, beneficial AI.
Compensation
The annual salary range is $270,000–$345,000 USD.
Logistics
Anthropic currently expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas for eligible roles and candidates and retains an immigration lawyer to assist with the process.
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.