Product Feedback Analyst

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

Job summary

A leading company seeks a Product Feedback Analyst to synthesize product feedback into actionable insights. This role involves analyzing data, collaborating with teams, and advocating for data-driven decisions to enhance product development and strategies. The ideal candidate will have a strong background in data analytics and statistical methods, with experience in SQL and coding.

Benefits

Bonus

Equity

Benefits

Qualifications

• 4 years of experience in data analytics or related fields.
• Experience in statistical analysis and SQL.

Responsibilities

• Analyze product feedback to drive improvements.
• Conduct advanced quantitative data analysis using SQL.
• Develop data models and visualizations.

Skills

Data Analytics

Statistical Problem-Solving

SQL

Java

Python

Education

Bachelor's degree in Engineering

Master's degree in a quantitative field

Job description

Join to apply for the Product Feedback Analyst role at Google.

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; Cambridge, MA, USA; Atlanta, GA, 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 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 help ensure feedback effectively informs product development and commercialization efforts.

The Go-to-Market Operations (GtM) team ensures Google's Ads business runs smoothly. We set go-to-market strategy and ensure flawless execution and operations. Our team is analytical and strategic, with a pragmatic approach to getting things done.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges depend on role, level, and location. Your recruiter can share more during the hiring process. Compensation details listed reflect the base salary only; bonus, equity, and benefits are additional. 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 key metrics.

Google is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal employment regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We consider qualified applicants regardless of criminal histories, in accordance with legal requirements. For accommodations, please complete our Accommodations for Applicants form.

Additional Information

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology and Engineering
• Industries: Information Services and Technology, Information and Internet

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