Description:

Qualifications

Minimum qualifications:

Master’s degree with an emphasis on quantitative research methods (Statistics, Economics, Computer Science, Industrial Engineering, or a related field) or equivalent practical experience.

Experience translating analysis results into product recommendations and business questions into an analysis framework.

Experience implementing statistical analysis and data wrangling using Python and SQL.

Preferred qualifications:

Direct team management experience.

Experience working as a product manager.

Coding experience with Google Cloud Platform or other cloud computing platform.

About the job

Help serve Google's worldwide user base of more than a billion people. Product Analysts provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

Conduct data analysis to make product recommendations (cohort analysis, user personas and behavioral cohorting, forecasting, impact analysis).

Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.

Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products and business activity, as well as external marketing spend trends.