JOB DESCRIPTION 

Minimum qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science) or equivalent practical experience.
   
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
   

Preferred qualifications:

• Experience with the use of data-warehouse tables and operational data, experience with F1, and ability to effectively write/modify SQL queries of high complexity.
   
• Experience with effective experimental design and training, and ability to apply statistical training to real-world data.
   
• Experience in data analysis, survey design, statistical modeling, and working with statistical packages (e.g., R, SAS, Stata, MATLAB).
   
• Experience with business intelligence and dashboard creation.
   
• Ability to translate analysis results into business recommendations with excellent communication skills.
   

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.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Responsibilities

• Partner with Product Management and Engineering to drive business impact (e.g., cost reduction, improvements to user experience, mitigating risks).
• Deliver data-driven product insights with analytical deep dives, helping shape product strategy, design, launch, and optimization. Design and measure product experiments and other product optimizations.
• Create business cases and forecasts, measuring the impact of new launches. Communicate findings, recommendations, and metrics updates to Payments leadership and other internal and external stakeholders.
• Define metrics and develop reports, and iteratively build and prototype dashboards to provide insights at scale.
• Work with Engineering and Product Management teams who build analytics data to define data requirements and metrics.