Business Intelligence Analyst

Snowflake
CA-Menlo Park, US
HybridCareer-pivot friendly

In the 12 months to 30 Jun 2026, Snowflake filed 3 H-1B positions titled "Senior Business Intelligence Analyst". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Candidates with a background in data analytics and AI will find this role in a fast-paced, collaborative environment with a focus on cloud spend optimization and automation. The position is based in Menlo Park, CA, and allows for telecommuting.

Best fit for

  • Candidates with a Master’s degree in Business Analytics and experience in cloud cost analysis will thrive here.
    — “Master’s degree or foreign equivalent in Business Analytics, Business Intelligence or related field”
  • Individuals who have built scalable data models and deployed AI-driven solutions for financial reporting are a strong match.
    — “Develop scalable data models and agentic automation frameworks that autonomously gather data”
  • Candidates who have worked with Python and SQL in enterprise BI applications and have a track record of cross-functional collaboration will excel.
    — “Utilizing SQL, including analyzing data, standardizing queries, and building large-scale relational datasets”

Things to consider

  • The role emphasizes delivering actionable insights, which may demand high attention to detail and stakeholder communication.
    — “surface actionable insights that will optimize spending at Snowflake”

How to stand out

  • Highlight experience with AI-driven automation in financial reporting and cloud cost optimization.
    — “Design and develop AI-driven solutions to automate financial workflows”
  • Showcase projects where you integrated Python-based ML workflows into production BI environments.
    — “integrate Python-based analytical and ML workflows into production BI environments”
  • Emphasize your ability to collaborate across Engineering, Finance, and Data teams on AI-enabled applications.
    — “Collaborate cross-functionally with Finance, Engineering, and Data teams”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed scalable data models and agentic automation frameworks
  • Built machine learning and generative AI models to identify cost anomalies
  • Collaborated cross-functionally with Finance, Engineering, and Data teams
Typical background
Master’s degree in Business Analytics, Business Intelligence or related field1 year of experience in the job offered or related occupation

Skills & requirements

Required

SQLPythonBusiness IntelligenceData PipelinesMachine LearningGenerative AIBI ToolsData AnalysisFinancial ReportingCloud Spend Forecasting

Preferred

JavaScala

Stack & domain

SQLPythonBI ToolsCollaborationStakeholder EngagementFinanceData Analytics

About the role

Original posting from Snowflake via Ashby

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Job Location: 135 Constitution Drive, Menlo Park, CA 94025.

ELT: Data Analytics and AI

REQ ID: ASHREQ-8304

Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.

AS A BUSINESS INTELLIGENCE ANALYST, PRODUCT FINANCE (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL:

Serve on the Finance BI team and partner with Product Finance to deliver business intelligence reporting that supports Engineering and Finance teams. Product Finance analyzes costs associated with the development of Snowflake’s product, in particular, cloud spend. Develop applications and manage data pipelines that power financial reporting, streamline QBR workflows, and surface actionable insights that will optimize spending at Snowflake. Collaborate with analysts across Finance on quarterly ad-hoc analyses utilizing SQL, Python, and BI tools, as well as data best practices and stakeholder engagement. Design and develop AI-driven solutions to automate financial workflows, analyses, and insight generation. Responsible for building machine learning and generative AI models to identify cost anomalies, forecast cloud spend, and recommend optimization strategies. Develop scalable data models and agentic automation frameworks that autonomously gather data, execute multi-step analyses, and generate executive-ready insights, while integrating Python-based analytical and ML workflows into production BI environments. Collaborate cross-functionally with Finance, Engineering, and Data teams to deploy AI-enabled applications that improve operational efficiency, reduce manual analysis, and enhance strategic planning. Telecommuting permitted.

Minimum Requirements for Position:

  • Master’s degree or foreign equivalent in Business Analytics, Business Intelligence or related field, and 1 year of experience in the job offered or related occupation.

Education or experience must include:

  • Utilizing SQL, including analyzing data, standardizing queries, and building large-scale relational datasets.
  • Utilizing Python and application development, with an emphasis on scalability and user experience.
  • Developing and deploying enterprise-grade Business Intelligence (BI) tools, such as Streamlit, Tableau or Looker
  • Utilizing AI and AI prompt development

The base salary range for this role is $142,438 - $150,150

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Source: Snowflake careers (Ashby)

Similar roles

More roles at Snowflake