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.
- Experience in a client-facing role, using data to influence HR strategies and presenting to executive audiences.
- Experience collaborating on projects involving multiple teams, managing ongoing relationships with clients, and presenting to senior audiences.
- Experience with inferential statistics and using quantitative and qualitative analytical strategies to measure the effectiveness of programs, interventions, and efforts for a large organization.
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About the job
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.
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 a People Analyst, you'll be detail-oriented and conscientious, analytical, and curious. You'll be supporting Cloud FHR with their most critical people data needs. Your knowledge of People Operations (POps) data, along with deep business context, will enable you to provide action-oriented analyses to ensure Cloud is well-informed and able to make thoughtful, data-driven people decisions.
Great just isn't good enough for our People Operations team (known elsewhere as "Human Resources"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next 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. You'll play an essential role advancing a more diverse, accessible, equitable, and inclusive Google through our hiring, promotion, retention, and inclusion practices.
The US base salary range for this full-time position is $113,000-$165,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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
- Build relationships and collaborate with senior HR clients and their teams to solve organizational problems by prioritizing work to manage multiple workstreams and situations.
- Empower leaders and organizations across Google by providing high quality HR data, reporting, analyses, and insights.
- Architect, develop, and automate data and analytics solutions, iteratively build and prototype models and dashboards to provide insights at scale.
- Use analytical reasoning to identify problems and develop hypotheses, often recommending a data product that addresses client's/stakeholder's needs.
- Manipulate and analyze large data sets to distill insights from data and connect disparate ideas into cohesive, well-grounded recommendations using creative, structured, and analytical thinking. Create effective, scalable, and intuitive reporting solutions.