Financial Analyst II, Laptop, Tablets and Enterprise

Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.

With your analytics and financial acuity, you'll liaise between the Finance team with the functional areas it supports. You resolve issues related to forecasting, planning, resource prioritization and business profitability, and you help translate analyses into easy-to-understand presentations.

In this role, you will have the opportunity to work on Google’s laptop operating system (ChromeOS/Android), one of Google’s key platforms. This is an integral part of an ecosystem through which many of our users experience Google including access to Search, Gemini, YouTube, Chrome Browser, and Workspace. This role is a hybrid of Financial Planning and Analysis (FP&A) finance and technical analytics. You are a financial modeling expert who is equally comfortable writing SQL queries to extract insights from datasets and acting as a trusted business advisor to cross-functional leaders.

Your efforts will allow for data driven decision making for product investments, go-to-market strategies, marketing campaigns, and business optimizations. You will be partnering to help leadership understand return on investment (ROI) and financial performance to ensure we’re making smart decisions.

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Identify, evaluate, and prioritize risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities.
  
• Work with datasets to create, own, and iterate on valuation metrics, customer lifetime value models, and monetization trends.
  
• Design and build data infrastructure, dashboards, and tracking tools to evaluate and surface insights on the performance of launches, new business models, and investments.
  
• Serve as the finance business partner and liaison to Product, Engineering, and broader finance teams.
  
• Translate analytics into executive-level presentations and key takeaways.
  

Minimum qualifications:

• 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 (FP&A), consulting, or a related function.
• Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
• Experience working with data sets for Customer Lifetime Value (CLV)/Lifetime Value (LTV) builds.

Preferred qualifications:

• Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
  
• Experience in developing strategies in fast-paced competitive environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome.
  
• Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
  
• Excellent communication skills with the ability to work with a wide variety of departments.
  
• Knowledge of SQL and statistical tools/systems.