Google

The application window will be open until at least September 24, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

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.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco 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: New York, NY, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience interacting with and manipulating data using tools such as SQL, R, or other statistical languages.
• 5 years of experience working with multiple data sources, combining information to generate insights from analyses, and creating reporting solutions for an executive audience (e.g., dashboards, tables, templates, metrics).

Preferred qualifications:

• Advanced degree in a relevant field such as Industrial/Organizational Psychology, Data Analytics, Behavioral Economics, Organizational Behavior, or Social Science Research.
• Experience with large-scale employee surveys and data infrastructure management.
• Experience working with executive leaders and improving operational processes.
• Experience in mixed-method research (quantitative and qualitative).
• Excellent problem-solving and communication skills to translate data into clear, actionable insights.

About the Job

The Googler Voice Research and Operations team is looking for a People Analyst to help us build a holistic understanding of the Googler experience. In this role, you will be instrumental in shaping our People Operations (POps) listening strategy by leveraging your technical expertise and problem-solving skills to transform employee feedback into actionable insights.

You will use SQL and Plx to build and automate the data infrastructure for our survey programs, identifying opportunities to enhance efficiency and scalability. You will also conduct mixed-method research, combining both qualitative and quantitative approaches from feedback sources. Your analysis of unstructured comments, product telemetry, and behavioral feedback will inform critical user journeys and help us understand user needs.

By working closely with cross-functional partners, you will synthesize this multi-source feedback, provide consultation on key trends, and ultimately help ensure our programs and services enable excellence for all Googlers.

The US base salary range for this full-time position is $117,000-$168,000 + 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

• Lead research studies to design and manage employee survey programs, including interviews and focus groups, to gather feedback on the Googler experience.
• Leverage SQL and Plx to build and automate data infrastructure for surveys, ensuring data is processed efficiently for analysis and stakeholders.
• Identify and implement process improvements to enhance the scalability and efficiency of our survey operations.
• Partner with executive leaders to translate academic research and data insights into actionable solutions that address the evolving needs of Googlers.
• Cultivate relationships with People Analytics and other cross-functional teams to better understand Googler experiences, emerging trends, and user needs to improve People Operations (POps) products.