Startups Business Operations Sr. Analyst
Amazon
- Location
- US, CA, San Francisco
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- 16h ago
Skills
About this role
AWS is seeking a Startups Business Operations Sr. Analyst to support operational excellence across the Startups Sales organization. This position will be responsible for implementing and maintaining scalable operational mechanisms that connect business strategy to execution through data-driven decision making, GenAI-powered intelligence, and rigorous inspection systems. You will support and run essential rhythms of business—from Top Deals Reviews to Monthly Business Reviews—and maintain forecasting and pipeline management systems that enable business predictability and growth. As a key contributor supporting the Startups Sales leadership, the role focuses on executing operational processes for the Startups field team and leveraging data, AI agents, and analysis to deliver measurable business outcomes. You will adopt and implement agentic AI and intelligent automation, building AI-powered solutions that help the Startups operations team operate at the frontier of operational excellence. The successful candidate will bring expertise in operational execution and process improvement, combined with fluency in AI-powered automation and GenAI tools. The right candidate has a record of delivering results in a timely and effective manner, with experience supporting complex, cross-functional programs in large organizations, preferably in technology. The candidate will be a self-starter with a bias toward independent problem solving, a passion for identifying and eliminating bottlenecks, and attention to detail in execution. The successful candidate must be able to roll up their sleeves and work directly with models and large data sets, demonstrating passion for the work and excellent problem-solving abilities. You will be a builder at heart who sees a manual process and instinctively designs an automated solution, who experiments with agentic AI and automation tools because they understand the compounding leverage these create. Strong communication skills to support data-driven decision making and the ability to work effectively across functions are essential. Collaboration with stakeholders across AWS Sales, Solutions Architecture, Business Development, Finance, and other Operations teams will be crucial to effective execution. You will drive toward simple, scalable solutions to difficult problems, demonstrate strong project management skills, and communicate analytical results clearly and effectively, both in writing and verbally. Key job responsibilities Run and continuously improve business review cadences (Top Deals Reviews, Monthly Business Reviews) that connect strategy to execution, preparing materials and driving follow-up actions Maintain and enhance forecasting models and pipeline management systems, leveraging AI-powered automation to drive predictable business outcomes with increasing efficiency and precision Build and maintain business processes, reporting tools, and dashboards that enable data-driven decision making, leveraging GenAI-powered intelligence and both internal and external data sources Build and deploy AI agents and automation solutions for Startups-specific operational needs, driving adoption across field teams and contributing to the organization's intelligent automation capabilities About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. Why AWS? 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. Inclusive Team Culture Here at AWS, it’s in our nature