The Finance Data and Analytics (DnA) team combines business acumen, technology, and innovation to organize data, enable insights, and creates a data driven and efficient Finance organization in Google. As part of this team, you will have a unique opportunity to gain perspectives on Google’s core businesses, services, and the products.
At Google, data drives all of our decision-making. As a Senior Machine Learning Analyst, you will work on strategic business challenges across multiple business areas (e.g., Ads, YouTube, Search, Google Play, etc.) through the lens of business growth. You will collaborate with data engineers, analysts, and product managers to create data solutions to enable our finance partners to make informed decisions, manage risks and opportunities.
In this role, you will synthesize and communicate information and drive progresses for all aspects of a project’s delivery. As part of DnA growing data science team, you will advance your data science skills, support the data science development practices of the team, and collaborate closely with others.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.