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Business Intelligence Developer, Cloud Finance

Google
Kirkland, USA
Senior · 7+ years experience
Onsite
USD 148000-214000 / year
Discovered Today
javascriptpythonsql

Full Job Posting

Responsibilities

  • Take ownership of designing, developing, and maintaining critical data assets for Cloud Finance, including data marts, pipelines, and dashboards. Build an insightful, accurate, and production-level financial reporting infrastructure.
  • Develop scalable ML and AI modeling solutions for anomaly detection and forecasting to surface insights at scale, bringing clarity and new analytical capabilities to complex financial trends.
  • Seek out opportunities to improve our financial operations by devising new or automating existing financial models and processes, statistical or driver-based forecasts and simulations.
  • Serve as a trusted and reliable partner to Finance colleagues across Alphabet. Support their processes and empower them with new tools and uplevel their analytical capabilities.
  • Deliver insights to decision-makers which includes automating insight-gathering processes and owning the communication of complex technical analyses to senior audiences such as Finance VPs, Directors, and Chiefs of Staff.

Minimum 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.
  • Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).

Preferred qualifications:

  • Master's in a technical or quantitative field, or equivalent practical experience.
  • Experience building data infrastructure and solutions (e.g. designing architecture, building big data pipelines, implementing scalable monitoring).
  • Experience building Machine Learning models for forecasting or anomaly detection purposes.
  • Proficiency in a programming language for data analysis and automation (e.g., Python or R).
  • Excellent communication skills, including the ability to communicate complex findings in a concise manner to a non-technical audience.

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