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

Amazon is hiring a Sales Operations Analyst, AWS Enterprise Support Strategy & Operations (ESSO) in Sydney, Australia. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this sales role: aI is not part of the work.
The posting mentions data analysis, sales operations and reporting among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Provide sales operations support, data analysis, and reporting for AWS Enterprise Support and AI solutions teams.

data-analysissales-operationsreportingforecasting

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.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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

- Experience using Microsoft Excel to manipulate and analyze data
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
- Experience with sales CRM tools such as Salesforce or similar software
- Experience defining, refining and implementing sales processes, procedures and policies or equivalent

Preferred qualifications

- Experience in finance, business management and sales operations
- Experience working within a high-growth, technology company

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
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.

How we rate this

Sales Operations Analyst, AWS Enterprise Support Strategy & Operations (ESSO) at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sales Operations Analyst, AWS Enterprise Support Strategy & Operations (ESSO) is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in AU, NSW, Sydney.
The job was posted on November 5, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisSales OperationsReportingForecasting

Also common in sales jobs at this level

AI agents Azure Google Cloud Machine learning LLM Python

Pay

Typical sales job: $139k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where sales operations was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?
Tell me about a project where forecasting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, Sales Operations, Reporting, and Forecasting. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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