QualificationsC++SQLAnalyticsRPythonBachelor’s degree
Preferred qualifications:
Experience using SQL to extract and manipulate data, or with other programming or scripting languages (e.g., R, Python, C++, etc.).
Experience working with databases and dashboards using all relevant data to inform decisions.
Experience leading cross-functional work with Product Management and Engineering partners.
Experience and ability working in complex, ambiguous, fast-paced environments.
About the job
You will drive measurement, analysis, and testing initiatives supporting global and regional marketing programs. You will directly analyze large data sets, and design and perform statistical analyses that continuously improve our process efficiency and campaign impact. In collaboration with a multidisciplinary team of marketing, product management, analytics and engineers, you will tap into the underlying data, align on key metrics/methodologies and generate insights that enable marketers to develop valuable, highly effective programs.
In this role, you will work with our global product, finance, and sales teams, Android Product Marketing supports every facet of the Android business. You will work with product development and go-to-market (GTM) teams.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google’s products solve the world’s problems-from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can-changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
Responsibilities
Identify key growth and sustainability opportunities for Android Consumer Marketing across various points of the customer lifecycle. Understand business challenges, transform problems into data-driven frameworks, and communicate complex findings in a structured and clear manner to a non-technical audiences.
Design experiments, develop statistical models, and use causal inference tools to measure and improve marketing effectiveness.
Make business recommendations via presentations that effectively translate technical work to business partners and executives through synthesized findings and visual storytelling.
Engage in ad-hoc analysis to understand business performance/user metrics and provide concise summaries and recommendations to management.
Develop and shape the marketing analytics function and help to source and transform data into scalable dashboards and tools.
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.