Job Type
Full Time
Job Details
This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Los Angeles, CA, USA; Washington D.C., DC, USA. Minimum qualifications:
- Bachelor's degree in Economics, Statistics, Business Administration, or another field that uses quantitative analysis, or equivalent practical experience.
- 5 years of experience in analytical HR role, investment banking, management consulting (e.g., strategy, compensation) or similar analytical role.
- Experience using analytical methods, tools, and mathematical concepts to identify, design, recommend, and implement compensation solutions.
- Experience with HR policies, practices, principles, state and federal employment laws, and related regulations.
Preferred qualifications:
- Bachelor's degree Economics, Psychology, Statistics, Business Administration, or another field that uses quantitative analysis, or equivalent practical experience.
- 3 years of experience in investment banking, strategy consulting, executive compensation consulting, or similar fields.
- Experience in managing large data sets.
- Experience with SQL or R.
- Ability to consult/present findings to stakeholders.
About the job
Google's known for our innovative technologies, products and services -- and for the people behind them. Whether you are making our staffing systems more efficient, planning for our growth, building relationships on college campuses or cultivating the next generation of computer scientists, you have an eye on the staffing needs of Google and the broader hiring landscape. You are focused on cultivating outstanding candidates for Google's long-term hiring needs, and work across a cross-functional and international group of staffing teams. You are both scrappy and resourceful, creative and driven -- and excited to share the magic of working at Google.
The US base salary range for this full-time position is $111,000-$163,000 + 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
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, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. - Build robust data models and analyses leading into each compensation planning cycle and manage tools and resources available for the organization's use during compensation planning.
- Build reusable technology to scale and sustain program delivery and reusable analytics to automate insights and findings.
- Manipulate large data sets and convey findings to leadership.
- Participate in the research, development, and administration of assigned compensation programs, and monitor program success. Create, consult, and review compensation policies and processes.
- Work on projects such as deep dives, performance rating analysis and compensation policies. Analyze compensation outcomes, draw conclusions and make recommendations for future consideration.
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