Product Feedback Analyst

Google; Washington (District of Columbia); On-site; USD 141,000 - 202,000; Full time

Job summary

An innovative firm is seeking a Product Feedback Analyst to transform product feedback into actionable insights. This role involves close collaboration with product and go-to-market teams, leveraging data analytics to enhance user experience and drive product improvements. The ideal candidate will possess strong statistical skills and experience with SQL, Java, or Python, ensuring data-driven decision-making. Join a dynamic team committed to excellence, where your contributions will directly impact product development and commercialization efforts.

Qualifications

• 4 years of experience in data analytics or related roles.
• Experience with SQL and statistical methods for data analysis.

Responsibilities

• Analyze product feedback to identify actionable insights.
• Conduct advanced data analysis to uncover trends and correlations.

Skills

Data Analytics

Statistical Problem-Solving

SQL

Java

Python

Education

Bachelor's degree in Engineering, Mathematics, or related fields

Master's degree in a quantitative field

Tools

Statistical Models

Data Visualization Tools

Job description

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• Bachelor's degree in Engineering, Mathematics, Quantitative Science, or related technical fields, 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.

Preferred qualifications:

• Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
• 3 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.

About The Job

As a Product Feedback Analyst, you will analyze and synthesize product feedback from various sources to identify actionable insights that drive product improvements and Go-To-Market (GTM) strategies. You will work closely with product and GTM partners to understand user needs and pain points across Google's Ads and policies. Your investigative skills will help translate raw feedback into meaningful data points, contributing to recommendations for Product, Engineering, and GTM stakeholders. You will advocate for a data-driven approach to understanding user sentiment and ensure feedback informs product development and commercialization efforts.

The Go-to-Market Operations (GtM) team ensures Google's Ads business runs smoothly by setting strategy and ensuring flawless execution. Our team is embedded across major Ads areas and works globally to support the business. We are analytical and strategic, focused on effective execution.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges are role, level, and location-dependent. Your recruiter can share specific details during the hiring process. Note that listed salaries reflect the base only, excluding bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and implement data processes using Java or Python to collect, clean, transform, and analyze product feedback data.
• Conduct advanced quantitative data analysis using SQL and statistical methods to identify trends, correlations, and root causes.
• Develop data models and visualizations to communicate insights clearly to technical and non-technical audiences.
• Collaborate with data scientists to apply statistical and machine learning techniques to uncover patterns and predict user needs.
• Build and maintain dashboards and reporting tools for stakeholders to monitor feedback metrics.

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, religion, sex, national origin, sexual orientation, age, disability, gender identity, or Veteran status. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. See Google's EEO Policy and EEO is the Law. If you need accommodations, please let us know by completing our Accommodations for Applicants form.