Deliver insights to help leaders make decisions on allocating resources effectively and build alignment across a broad set of stakeholders as we work towards unlocking value for Alphabet.
Requirements
Experience using SQL for analysis and modeling.
Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
Responsibilities
Perform (compute and financial) analyses and uplevel insights to ensure investment decisions are in line with Google’s priorities.
Apply SQL knowledge in data aggregation, synthesization and automation to streamline financial analyses.
Identify ways to improve the short- and long-term ML allocations process and work cross-functionally to implement changes, while taking into considerations of financial implications; establish monthly/quarter reports on portfolio performance, trends, and Product Area analyses against goals and track the performance of existing Artificial Intelligence/Machine Learning (AI/ML) allocations, identifying any potential issues or areas for rebalancing.
Support the automated charge back process for Alphabet.
Engage with product area finance and other central business partner teams to understand ML capacity demand across Google, and collaborate to ensure alignment on Single Source of Truth (SSOT) datasets for reporting.
Other
Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
4 years of experience in financial planning and analysis, and other related functions, or an advanced degree.
Experience in an analyst role supporting Financial Analysis, Portfolio Management, Due Diligence, and related functions.
Experience in developing strategies in a changing environment.
Ability to communicate insights to technical management teams and align business leaders on recommendations and decisions.
