Product Feedback Analyst

Key Skills

Data Analysis, Data science techniques, GTM, Product Analytics, Python Programming, SQL

Job Description

Minimum qualifications:

• Master's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience.
• 3 years of experience in statistical problem-solving and analyzing data sets using SQL or comparable coding.
• 3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.

Preferred qualifications:

• Experience in data analysis, with the ability to solve problems in a changing, and ambiguous business environment through data intuition and business acumen.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

The Go-to-Market Operations (GTM) is a global team that serves as the strategy, operations, and product commercialization partner to Global Business Organization (GBO). The team ensures Google's ever-evolving Ads business delivers growth and operates effectively.

As a Product Feedback Analyst, you will play a key role in analyzing and synthesizing product feedback from various sources to identify actionable insights that drive product improvements and Go-To-Market strategies.

Working closely with product and GTM partners, you will help develop an understanding of user needs and pain points across Google's Ads and policies. You will leverage your investigative skills to translate raw feedback into meaningful data points and contribute to the development of recommendations for Product, Engineering, and GTM stakeholders. You will be an advocate for a data-driven approach to understanding user sentiment and contribute to ensuring that feedback effectively informs product development and commercialization efforts.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include 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 from various sources.
• Conduct advanced quantitative data analysis using SQL and statistical methods to identify significant trends, correlations, and root causes within product feedback.
• Develop sophisticated data models and visualizations to communicate feedback insights in a clear and compelling manner to technical and non-technical audiences.
• Collaborate with data scientists to apply statistical and potentially machine learning techniques to uncover deeper patterns and predict future user needs based on feedback.
• Partner with product managers and GTM teams to translate data-driven insights into actionable recommendations for product development and go-to-market strategies.