AI-Driven BI Analyst — Finance & Cloud Spend Optimization

First Roles

California

Remote

USD 142,000 - 150,000

Full time

4 days ago

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Job summary

Snowflake is seeking a Business Intelligence Analyst, Product Finance, to partner with Engineering and Finance on BI reporting and cost optimization. You will develop data pipelines, surface actionable financial insights, and deploy AI-enabled analytics to streamline budgeting and cloud spend forecasting.

The role involves collaborating across Finance, Engineering, and Data teams to improve efficiency and provide executive-ready insights, with telecommuting permitted.

Qualifications

Master’s degree in Business Analytics, BI or related field.
1 year of experience in the job offered or related occupation.
Experience with SQL data analysis and building large-scale relational datasets.
Experience with Python development and scalable data applications.
Experience with BI tools such as Streamlit, Tableau or Looker.

Responsibilities

Partner with Product Finance to deliver BI reporting for Engineering and Finance teams.
Develop applications and data pipelines powering financial reporting and QBR workflows.
Design and develop AI-driven solutions to automate financial workflows and insights.
Build ML and generative AI models to identify cost anomalies and forecast cloud spend.
Collaborate across Finance, Engineering, and Data teams to deploy AI-enabled BI applications.

Skills

SQL

Python

AI prompt development

Education

Master's degree in Business Analytics/BI/related

Tools

Streamlit

Tableau

Looker

Job description

The role involves collaborating across Finance, Engineering, and Data teams to improve efficiency and provide executive-ready insights, with telecommuting permitted.

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