Product Feedback Analyst

Google; Chicago (IL); On-site; USD 141,000 - 202,000; Full time

Job summary

An innovative firm is seeking a Product Feedback Analyst to drive product improvements through data analysis and actionable insights. In this role, you will leverage your analytical skills to synthesize product feedback from various sources, collaborating closely with product and go-to-market teams. Your expertise in data processes using Java or Python will enable you to conduct advanced quantitative analysis and develop clear visualizations for diverse audiences. Join a dynamic team that values a data-driven approach to enhance user experiences and contribute to the success of cutting-edge products.

Qualifications

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

Responsibilities

• Analyze product feedback to identify actionable insights.
• Develop data models and visualizations for stakeholders.

Skills

Data Analysis

SQL

Statistical Problem-Solving

Java

Python

Education

Bachelor's degree in Engineering

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 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 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, ensuring feedback informs product development and commercialization.

The Go-to-Market Operations (GtM) team ensures Google's Ads business runs smoothly. We set go-to-market strategy, ensure flawless execution, and operate across business areas. Our team is analytical, strategic, and pragmatic.

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 provide specific details during the hiring process. Note that listed salaries reflect base pay 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 for deeper pattern recognition and predicting user needs.
• Build and maintain dashboards and reporting tools for stakeholders to monitor key 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 also consider qualified applicants regardless of criminal histories, in accordance with legal requirements. See Google's EEO Policy and EEO is the Law. If you require accommodations, please complete our Accommodations for Applicants form.