Senior YouTube Financial Analyst, Americas Ads Finance

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. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges. 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: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Partner with cross-functional teams and sales leaders to understand drivers of business performance and provide clear insights into drivers of business growth, risks, and opportunities.
• Lead decision making on investment strategies for products, identification of key market drivers for business generation and business profitability, and resource allocation.
• Interact with other Finance, Operations, and Business Intelligence teams to assure strategic and analytical alignment, as well as data consistency and efficiency to drive scalable analyses, tools and insights.
• Manage and assist with various ad hoc projects

Minimum qualifications:

• Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or 5 years with a relevant advanced degree.

Preferred qualifications:

• Experience working with large datasets and coding languages, database, automation or business intelligence skills (for example: SQL, Python, R, JavaScript, Python, Tableu, Looker, etc).
• Experience partnering with senior leadership and driving impact.
• Ability to self-start and self-direct work in
  an unstructured environment, and comfortable dealing with ambiguity.
• Organized, detail oriented, strategically focused and ability to effortlessly multi-task in a fast-paced, constantly evolving environment.