Назад
2 дня назад

Accounting Analytics & BI Engineer

220 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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