Minimum qualifications:
Bachelor's degree or equivalent practical experience.
4 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
4 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++).
Preferred qualifications:
5 years of experience in scripting, statistical analysis (e.g., Python, R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
Experience in extracting, sampling and visualization of large data sets, writing and maintaining ETLs which operate on a variety of structured and unstructured sources, delivering production level metrics, insights and actions.
Experience in project management and process optimization with data analytics.
About the job
In this role, you will work on Google Play doing everything from engineering back-end systems, shaping the product strategy, and forming content partnerships. You will make it possible for people to do things like buy a game or ebook on their Android phone, then have it instantly available on their laptop.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Responsibilities
Bootstrap and drive a wide range of high-impact projects, developing business cases and driving strategic decisions. Support specific go-to-market projects via developing success metrics and owning reporting back on the impact of initiatives.
Engage and influence stakeholders and cross-functional partners, obtain buy in for potential solutions, adapt messaging and suggested recommendations, deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Design and implement automated and standardized analysis tools, empowering business stakeholders to uncover business opportunities and make informed decisions.
Track and report on key operational metrics, provide insightful data-driven strategic recommendations to leadership based on analysis, experience, and good acumen. Investigate the root causes of business problems, providing solutions that go beyond superficial observations.
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.
