Sales Operations Analyst, AWS Enterprise Support Strategy & Operations (ESSO)

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

AWS Enterprise Support Strategy & Operations (ESSO) is looking for a smart, experienced, and self-directed Sales Operations Analyst with a background working with sales and field organizations to provide visibility, insights, and operations which enable leaders to drive business performance, answer critical questions for decision making, run their business, and plan for the future. This position will be part of the team that leads Strategy and Operations for Strategic Industries and EMEA Business Development and Technical Account Manager field delivery teams.

The candidate in this position will play a foundational role in supporting the stakeholder business' strategy and operations through data analysis and operational reporting. The Sales Operations Analyst will focus on core operational activities including standard reporting, data analysis, and owning day-to-day inspection and execution of operational processes. The analyst will generate and maintain regular cadenced reports including weekly, monthly, and quarterly business metrics for leadership. A critical aspect of the role involves conducting deep dives into business data to answer specific questions that enable Sales Operations Leads and sales leaders to make informed strategic decisions, as well as contributing to rhythm of business activities such as Monthly Business Reviews, quarterly/annual planning cycles, and ad-hoc reporting requests. Other operational responsibilities could include but not be limited to territory management, headcount allocation and planning support, and goal setting, and support in developing and executing the operational strategy. This role has significant opportunity for learning and growth and has the potential for broad exposure across strategy and operations leadership and functional partners.

The ideal candidate for this role will have strong business and financial acumen, broad technical skills (e.g., SQL, Excel, and leveraging AI toolsets), strong analytical and critical thinking skills, have sales and marketing expertise, and must be very comfortable diving deep into data. This is a hands-on position - the ideal candidate must be willing to "roll up their sleeves." The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to detail. The candidate must communicate effectively across both technical and non-technical teams, be a strong collaborator and partner, and work with stakeholders and peers to define requirements and drive delivery of analytical projects end to end.

Key responsibilities

• Develop a deep understanding of sales delivery and business metrics, reporting tools, and data structure, and serve as a subject matter expert on the team

• Track and report all key performance indicators, goals, and trend analyses for weekly, monthly, and quarterly business reviews

• Own regular analysis and inspection of key performance leading and lagging indicators bringing insights to operations leaders and sales/delivery leaders to help see around corners and drive business growth/performance

• Conduct analysis and deep dives to support Business Development and Delivery team strategy planning and key decision making.

• Support regular inspection of sales pipeline pipeline health and forecasting reviews

• Own the day-to-day execution of selected key field operational activities such as territory management, headcount allocation, and goal setting.

• Leverage AWS GenAI capabilities to scale and augment insights enablement to improve visibility and productivity across multiple user personas through AI apps and agents

• Own or contribute to various analytical and building projects such as building a global pipeline management mechanism, refining forecasting models and methodologies, and refining reporting and management systems for a new more complex delivery model and stakeholder organization structure

• Collaborate with multiple internal customers, stakeholders, and partner groups across ESSO team, sales, Enterprise Support leadership, product, etc. About the team Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

- 3+ years of relevant professional experience in analytics and/or operations experience

- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or a related field

- Experience working in a sales organization and with sales data, processes, policies, etc.

- Experience in business analysis and functional roles requiring quantitative, analytical and organizational skills

- Experience with Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau

- Experience using sales tools including Salesforce, and BI tools including QuickSight and PowerBI

Preferred qualifications

- Experience in advanced SQL & ability to write complex queries from scratch from multiple tables

- Experience using AI business tools to build agents and apps

- Experience using big data analytics techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, VA, Arlington - 75,400.00 - 132,000.00 USD annually