US: $148000 - $214000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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.
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).
