• Minimum of 5 years of experience in the areas of finance, sales compensation, or sales operations with in-depth understanding of sales compensation practices.
• Incentive compensation/performance management software knowledge and understanding
• Excel experience and the ability to conduct sophisticated and creative analysis of complex data and translate the results into insights and action
• BS/BA degree or equivalent experience

Job summary
Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale and is growing at a staggering pace in terms of revenue, customers, people and complexity. Businesses, educational institutions, governments and non-profits depend on AWS for secure cloud services and solutions.
This position will be responsible for the administration of sales compensation plans and business analysis of the sales compensation program and processes for the World Wide Public Sector (WWPS) sales organization. As a sales compensation analyst, the position will be responsible for driving sales compensation operational excellence, administration of key sales compensation data, and senior level sales compensation programs for the organization that address our business governance, performance management as well as guiding the organization to prepare for senior reviews. The role will also provide analytical support focused on understanding sales compensation program performance insight, and revenue performance dynamics. The role will further support projects that are focused on developing and refining the sales compensation strategy of the sales organization. The role will include interaction with the sales force and analysis to insight activities to support the rapid growth of the AWS public sector business. It will also include developing business papers for review by leadership to articulate strategy, recommendations as well as performance insights
A successful individual will be results oriented and have the ability to think strategically, act tactically, write effectively, and display strong analytical and critical thinking skills. The candidate must also be able to build strong cross-group working relationships.
Responsibilities include:

• Administer the commissions process by maintaining, tracking, reporting, auditing and analyzing relevant sales compensation data in order to produce accurate and timely payouts
• Be the subject matter expert on commission calculations and be able to effectively communicate with all stakeholders
• Build strong relationships and work collaboratively with sales people and sales managers to deliver key insights on sales performance and compensation impacts
• Identify inefficiencies, implement solutions, and track progress around sales performance and related expenses such as commissions, SPIFF, and other bonuses
• Track and analyze pipeline and forecast in SFDC to proactively prepare for commission payouts and identify deals that require exception approval and large payout impacts
• Ensure targets are appropriate and consistent across the entire WWPS sales organization.
• Work collaboratively with other departments in support of the sales compensation process
• Coordinate across AWS to share programs and best-practices as well as participate on any pan-corporation programs as needed.
• Assist with analytical projects focused on deep insights that enable business planning decisions
• Assist in the maintenance of training materials in support of the Sales Compensation Engagement Lifecycle

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon?s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance. It isn?t about how many hours you spend at home or at work; it?s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we?re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future

• Exhibits sound business judgment, strong analytical skills, and a proven track record of taking ownership and leading data-driven analyses to support and grow a business.
• Sales compensation domain expertise
• Experience using BI tool
• Experience working within a high-growth, technology company would be beneficial
• Familiarity with Public Sector market
• Self-motivated, action-oriented, multi-tasking individual with a great sense of urgency and follow-through
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations.
• Motivated self-starter who is proactive and action-oriented
• Able to operate successfully in a lean, fast-paced organization
• Extremely detail oriented and driven with focus on accuracy as well as understanding
• Meets/exceeds Amazon?s leadership principles requirements for this role.
• Meets/exceeds Amazon?s functional/technical depth and complexity.

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