Description The Amazon Advertising Sales Incentive Compensation team is seeking a Sr. Sales Compensation Analyst to drive analytics throughout the Ads incentive compensation program. The charter for our team is to Enable the growth of Amazon Ads through effective sales compensation design, governance and operations. The ideal candidate for the role will be an exceptionally strong analytical thinker who excels in written and verbal communication, data analysis, modeling and process improvements. They will demonstrate teamwork, relationship building and the ability to influence at all levels of the organization, while thriving in a fast-paced dynamic environment that has a considerable amount of ambiguity. They help deliver data-driven insights that will be foundational to optimizing sales planning, performance targets, and sales compensation for Amazon Ads. They will have deep experience with variable compensation plans and associated analytics to drive data driven decisions. They will partner with Amazon Ads’ sales incentive compensation design, planning, policy, and enablement teams. Key job responsibilities Key job responsibilities • Develop a deep understanding of the foundational data and key business drivers to Amazon Ads variable compensation. • Design and implement a comprehensive reporting & analytical roadmap to derive key decisions. Build out capabilities for Gen AI to deliver insights into existing data, tools and workstreams. Automate repeated processes around monthly, quarterly and annual processes. • Compensation cost controllership: Cost and administer in plan and above plan incentives (e.g., Quotas, SPIF, MBO). Support financial budgeting and forecasting processes across total portfolio. • Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements. • Have a passion for sales compensation and the impact the work will have on all customers. • Quality and timely insights. Scale quarterly insights that provide details to leaders throughout organization. Ability to provide team and seller level trends and performance to teams that provide actionable insights. • Automation. Build out capabilities for AI to deliver insights into existing data, tools and workstreams. Automate repeated processes around monthly, quarterly and annual processes. • Cross Functional Collaboration. Partner with finance team to align compensation impact to financial plan. Run analysis around correlation of SIC payouts to overall financial performance. About the team We are the innovative minds behind Amazon Advertising's sales compensation ecosystem. Our team sits at the intersection of technology, finance, and human motivation, creating programs that attract, retain, and inspire top sales talent. We are passionate about designing compensation strategies that not only reward performance, but also drive meaningful business impact. Basic Qualifications - Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field - 5+ years of finance, business management and sales operations experience Preferred Qualifications - Experience working within a high-growth, technology company - Experience developing business analytics or equivalent - Experience using Microsoft Excel to manipulate and analyze data - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience developing and implementing systems/tools utilized for CRM, variable compensation, revenue reporting, forecasting, Salesforce automation, etc. - Experience with sales CRM tools such as Salesforce or similar software Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 88,100.00 - 154,100.00 USD annually USA, NY, New York - 96,900.00 - 169,500.00 USD annually USA, WA, Seattle - 88,100.00 - 154,100.00 USD annually