G
Not Specified Permanent

Mountain View, California · USA job

Senior Financial Analyst, Google One AI 1P Partnerships

Google

Mountain View, California

Job description

Overview

In this role you will build and refine sophisticated financial models and scenario analyses to evaluate cross-product partnerships, protecting margins and ROI. You will lead post-launch analytics for live partnerships and deliver actionable insights to scale impact and optimize GTM. You will collaborate with product, analytics, controllership, and finance teams to align KPIs and reporting, and develop standardized frameworks and dashboards to accelerate governance for future launches. You will synthesize complex data into executive-ready narratives to guide strategic decisions for Google One and partner products.

Compensation / Benefits
  • bonus target
  • equity
  • benefits
Responsibilities
  • Build and maintain advanced financial models and scenario analyses for cross-product partnerships ensuring alignment with margins and ROI guardrails
  • Lead post-launch analytics, performance reviews, and variance tracking for 1P partnerships to deliver scalable insights and GTM optimization
  • Coordinate with Product, Analytics, Controllership, and partner product area finance teams to align launch constructs, KPIs, financials, and reporting
  • Develop standardized evaluation frameworks, repeatable templates, and dashboards to increase execution velocity and governance for future launches
  • Synthesize financial models into executive-ready presentations and narratives for senior leadership across G1 and partner product areas to guide strategic decisions
Key requirements
  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience
  • 7 years of experience in FP&A, consulting, or a related function, or an advanced degree
  • Strong cross-functional partnering and relationship-building
  • Excellent written and verbal communication skills
  • Ability to work in a fast-paced environment and drive operational initiatives
  • Expertise in SQL and data
  • Financial modeling and analytics
  • Data-driven decision making

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