Product Analyst, Google Commerce

About the job

As a Product Analyst, you relish tallying up the numbers one minute and communicating your findings to a team leader the next. You can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You will work to effectively turn business questions into data analysis, and provide meaningful recommendations on strategy.

As a Product Analyst in Commerce, you will evaluate and improve Google’s Commerce products and collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. With your analytical rigor and experience with statistical methods of measuring quality, you will improve consumer products understand the behavior of our end-users, merchants, and partners. You will also develop, organize and launch experiments and projects that across Engineering, Product Management, Sales, and Marketing.

Google is an engineering company at heart. 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 users around the world. At Google, engineers not only revolutionize search, they routinely work on 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

• Work with large, complex data sets; solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and sales activity.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentation of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecasting and optimization methods to improve the quality of Google’s user facing products; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.