Sales Compensation Analyst
Compensation: $75,730.00 - $120,660.00 /year *
Employment Type: Full-Time
Industry: Human Resources
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Our Googlers are innovative, take big risks and get things done, and our compensation plans are designed to reward them accordingly. On the leading edge of the compensation field, our team runs cyclical cash and equity programs and takes the notion of "Total Rewards" to new heights. We always aim to better recognize outstanding performance, so as a member of this team, you're an unconventional thinker and are willing to make bold bets. You take Googlers' feedback seriously, and collect it often to continually improve and enhance our programs through a two-way dialogue. Combining data and feedback from our Googlers with the latest industry research, you make large-scale, data-driven decisions that impact Googlers in a meaningful way.Google's sales incentive designs are structured to provide outsized rewards for efficient growth. On the leading edge of the compensation field, our team runs end-to-end compensation programs (merit, promotion, bonus, equity).As a Sales Compensation Analyst, you will work closely with our Sales business leaders in creating incentive designs that further Google's business strategy while maintaining appropriate governance and adhering to Google's pay-for-performance philosophy. You will look to continually enhance our existing Sales programs, while creating innovative designs to support Google's newest products. Combining data and feedback from our Googlers with the latest industry research, you will make large-scale, data-driven decisions that impact Googlers in a meaningful way. You are comfortable managing several projects at once and helping key decision makers make sound choices by analyzing data and working on critical issues.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 advocates 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 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.Minimum qualifications:* Bachelor's degree in economics, statistics, finance, business administration or another field that uses quantitative analysis or equivalent practical experience.* 5 years of experience in compensation, strategy consulting, sales operations or similar analytical roles.* Experience in framing and cross-functionally solving problems through quantitative and qualitative analyses.Preferred qualifications:* Ability to comfortably presenting directly to senior audience (e.g., Sales and People Operations leadership).* Ability to distill trends for storytelling and principled recommendations.* Interest in analyzing data.* Excellent spreadsheet skills.* Excellent project management and written and verbal communications skills.* Partner with Sales leadership to understand business priorities.* Manage world-wide communication and change management when rolling out new sales compensation plans.* Ensure we incorporate business and HR priorities into our broad-based compensation design (base, bonus, and equity) for the sales function (which includes Googlers on sales and non-sales plan) by working with other compensation sub-teams, executing on key initiatives (e.g., merit planning, benchmarking, etc.).* Design and/or review sales incentive plans globally to drive those priorities. Ensure appropriate compensation governance and adherence to Google's pay-for-performance philosophy.
Associated topics: benefit, compensation, compensation consultant, global compensation, insurance, payroll, payroll analyst, payroll consultant, payroll specialist, pension
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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