Назад
3 дня назад

Business Intelligence Analyst, Product Finance (Multiple Positions Available) (AI)

142 438 - 150 150$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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
Business Intelligence Analyst, Product Finance (AI): Building BI applications, scalable data pipelines, and AI-enabled financial workflows for product cost reporting and cloud spend optimization with an accent on SQL, Python, machine learning, and generative AI. Focus on developing anomaly detection and forecasting models, designing agentic automation frameworks, and deploying executive-ready insights in production BI environments.

Location: Menlo Park, California, United States; telecommuting permitted

Base salary: $142,438–$150,150 per year

Company

Snowflake develops a large-scale cloud data platform for governing, processing, and analyzing transactional and analytical data.

What you will do

  • Partner with Product Finance, Engineering, Finance, and Data teams to deliver business intelligence reporting and actionable financial insights.
  • Develop applications, scalable data models, and data pipelines supporting financial reporting, quarterly business reviews, and cloud spend analysis.
  • Use SQL, Python, and BI tools to perform ad-hoc analyses and integrate analytical workflows into production environments.
  • Design AI-driven solutions and agentic automation frameworks that gather data, execute multi-step analyses, and generate executive-ready insights.
  • Build and deploy machine learning and generative AI models for cost anomaly detection, cloud spend forecasting, and optimization recommendations.
  • Deploy AI-enabled applications that reduce manual analysis and improve operational efficiency and strategic planning.

Requirements

  • Master’s degree or foreign equivalent in Business Analytics, Business Intelligence, or a related field.
  • At least 1 year of experience in the offered role or a related occupation.
  • Experience using SQL to analyze data, standardize queries, and build large-scale relational datasets.
  • Experience using Python for application development, with emphasis on scalability and user experience.
  • Experience developing and deploying enterprise-grade BI tools such as Streamlit, Tableau, or Looker.
  • Experience utilizing AI and developing AI prompts.

Culture & Benefits

  • AI-native, experimental approach to solving business and technical problems.
  • Fast-moving environment focused on innovation and challenging conventional thinking.
  • Opportunity to work on high-scale data processing and financial analytics systems.
  • Telecommuting is permitted.

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