Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Accounting Analytics & BI Engineer (SQL/Python, dbt/Airflow): Building scalable data models, orchestration pipelines, dashboards, and data applications that support accounting analytics, financial reporting, reconciliations, and self-serve insights with an accent on data quality and trusted financial metrics. Focus on designing AI-powered accounting automation, translating ambiguous business questions into reliable systems, and streamlining manual financial workflows.
Location: San Francisco, CA; hybrid policy requires staff to work from one of the offices at least 25% of the time
Annual salary: $220,000–$270,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
- Design, build, and maintain data models and orchestration pipelines with dbt and Airflow.
- Develop dashboards, visualizations, and data applications for self-serve stakeholder access.
- Translate Accounting and Finance questions into metrics, analytics, and actionable recommendations.
- Build analytics supporting financial reporting, the close process, reconciliations, and scenario analysis.
- Define AI-powered accounting automation opportunities to streamline workflows and reduce manual effort.
- Champion data quality, testing, and documentation across the data stack.
Requirements
- 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 BI tools such as Looker, Tableau, Hex, or Streamlit.
- Experience designing self-serve analytics experiences for non-technical stakeholders.
- Experience partnering with Finance or Accounting teams to turn data into clear analysis and financial outcomes.
- Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
Nice to have
- Experience using AI to improve or automate analytical processes.
- Experience building data applications and working with cloud platforms such as AWS or GCP.
- Experience with financial impact modeling, forecasting, and scenario analysis.
- Ability to take initiative and create clarity in ambiguous situations.
Culture & Benefits
- Collaborative work focused on large-scale AI research and development.
- Flexible working hours and an office environment designed for collaboration.
- Competitive compensation with optional equity donation matching.
- Generous vacation and parental leave.
- Visa sponsorship is available, subject to role and candidate eligibility.
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