At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.
You will conduct primary research exploring the experiences, motivations, and feedback of Googlers using interviews, focus groups, ethnography, and surveys. Your research will help create useful, usable, and delightful new employee programs. You’re detail-oriented and conscientious, analytical and curious, and a strong problem-solver. On top of it all, you're someone who isn't afraid to question how things are done and find better alternatives.
Great just isn't good enough for our People Operations team (you probably know us better as "Human Resources"). Made up of equal parts HR professionals, former consultants and analysts, we're the champions of Google's colorful culture. In People Ops, we "find them, grow them, and keep them" - we bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next great Googler, refining our core programs, developing talent or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field.
- Design and implement research projects that provide insight into a plan of action for solving people-related challenges at Google.
- Collect data using multiple methods (e.g., interviews, focus groups, surveys, experiments).
- Analyze rich (and sometimes messy) qualitative data and identify themes. Build research reports based on interviews, diary studies, and survey research.
- Build strong relationships and collaborate with teammates, business leaders, and HR clients to solve organizational problems. Make cohesive, empirically-grounded recommendations; use clear and compelling data visualization to help communicate your ideas.
- Enrich People Operations programs/practices by drawing from external research and translating it for use at Google.
- MS degree in Sociology, Anthropology, Cultural Studies, Human Factors, Psychology, Organizational Behavior, Human-centered Design, or a similar field that uses both quantitative and qualitative research methods and analytical techniques, or equivalent practical experience.
- Experience with collecting, analyzing, and applying insights from qualitative data, using both inductive and deductive approaches (e.g., grounded theory, case analysis, interviews, focus groups, ethnography, content coding, computerized text analysis, LIWC, General Inquirer, centering resonance analysis).
- Experience collaborating on projects involving multiple teams.
- PhD in Sociology, Anthropology, Cultural Studies, Human Factors, Psychology, Organizational Behavior, Human-centered Design, or a similar field that uses both quantitative and qualitative research methods and analytical techniques
- Experience interacting with quantitative data (e.g., cleaning, merging, transforming, analyzing) using tools such as SQL and R.
- Experience visualizing data (e.g., using tables, charts, graphics) for industry audiences, to bring research findings to life and help executive audiences quickly and accurately understand the research and its results.
- Experience working in cross-functional teams, and getting things done in complex decision-making environments.
- Experience presenting to both technical and non-technical audiences in clear and compelling ways to inform practical recommendations and action.
- Strong understanding of the strengths and shortcomings of different research methods, including when and how to apply them.