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'll stay focused on the details while finding creative ways to take on big picture challenges.
As a Data Analyst, you are passionate about metrics, quantitative analytics, and analytical methods and tools. You will coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. You will take initiative to help leverage data, identify tactics, and define strategy. Additionally, you'll conduct analyses and gather data, requirements specification, processing, and final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will help us shape Tez, Google's payments product in India. Your work will help our leaders make strategic decisions. You will demonstrate and ability to handle multiple projects at a time, focusing on the details and finding creative ways to take on 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.
Responsibilities
Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Design effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Drive visibility into business performance. Conduct regular metrics reviews, planning, and forecasting.
Minimum qualifications:
BA/BS degree in Computer Science, Mathematics, or related quantitative field or equivalent practical experience.
2 years of experience with databases, including SQL coding across standard commercial databases (e.g. Teradata, MySQL, etc.) and statistics tools including; R, SPSS, Python, MATLAB or similar.
Preferred qualifications:
Experience as a business/quantitative analyst in e-commerce or Payments and/or financial services.
Experience with one or more coding and/or scripting languages (e.g., Python, R, SQL, Stata, or MATLAB).
Ability to take initiative in an unstructured environment, demonstrating a bias towards action and high attention to detail.
Ability to communicate with a senior management.
Excellent business judgment, problem-solving, analytical, and leadership skills.
Excellent partnership and cross-functional collaboration skills.
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