Cloud Finance BI Engineer — ML & Forecasting

Google LLC

Kirkland (WA)

On-site

USD 148,000 - 214,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off
Maternity leave

Job summary

Google LLC in Kirkland, WA, USA, is seeking a Business Intelligence Developer for Cloud Finance to design and maintain data assets, pipelines, and dashboards. The role emphasizes building ML/AI models for forecasting and anomaly detection, improving financial operations, and delivering actionable insights to senior leadership.

Ideal candidates have a quantitative background, 7+ years in BI/analytics, and strong Python skills.

Qualifications

  • Bachelor's degree in a quantitative discipline or equivalent practical experience.
  • 7 years of experience in business intelligence, analytics, or quantitative analysis related fields.

Responsibilities

  • Take ownership of designing, developing, and maintaining critical data assets for Cloud Finance, including data marts, pipelines, and dashboards.
  • Develop scalable ML and AI modeling solutions for anomaly detection and forecasting to surface insights at scale.
  • Seek opportunities to improve financial operations by devising new or automating existing financial models and simulations.
  • Serve as a trusted partner to Finance colleagues across Alphabet, supporting processes and empowering analytical capabilities.
  • Deliver insights to decision-makers by automating insight-gathering processes and communicating complex analyses to senior audiences.

Skills

Data analysis
Python
Communication

Education

Bachelor's degree in a quantitative discipline
Master's in a technical or quantitative field

Job description

Google LLC in Kirkland, WA, USA, is seeking a Business Intelligence Developer for Cloud Finance to design and maintain data assets, pipelines, and dashboards. The role emphasizes building ML/AI models for forecasting and anomaly detection, improving financial operations, and delivering actionable insights to senior leadership.

Ideal candidates have a quantitative background, 7+ years in BI/analytics, and strong Python skills.

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