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, 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, 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 (ie. 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, work with stakeholders and peers to define requirements, and drive delivery of analytical projects end to end.

Key job 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/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, 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, 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.

Basic qualifications

• 3+ years of relevant professional experience in analytics and/or operations experience
• 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
• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or a related field

Preferred qualifications

• Experience in advanced SQL & ability to write complex queries from scratch from multiple tables
• Experience with data engineering or methods used in Big Data analytics
• Experience using AI business tools to build agents and apps

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