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Financial Analyst II, Laptop, Tablets and Enterprise

Google3,070 open roles

Where
Mountain View, CA, USA
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Your applicationOpen nowFinancial Analyst II, Laptop, Tablets and EnterpriseGoogle · Mountain View, CA, USA
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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 30 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 2 hours ago

Google median: 30 days open

The posting

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.
  • Knowledge of SQL and statistical tools/systems.
  • 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.

About the job

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 the laptop (Googlebooks and Chromebooks) and tablet products, which are key platforms for Google. This is an integral part of an ecosystem through which many of our users experience Google services including access to Search, Gemini, YouTube, Chrome, and Workspace.

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 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

  • Work with datasets to create, own, and iterate on valuation metrics, customer lifetime value models, and business generation 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.
  • Translate analytics into executive-level presentations and key takeaways.
  • Analyze data to understand trends, decompose drivers, and provide actionable insights.
  • Partner with cross-functional teams to collaborate on data infrastructure workstreams.
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