亚马逊AWS Sales Ops Intern - Shenzhen

· Data Processing: Validate, correct and consolidate raw data; adjust data format… etc. Support data analysis which covers Forecast, Pipeline and Revenue…etc. · Template and file cleanup / refinement: Refine analysis templates to align with the evolving reporting structure; streamline processes which cover forecast, pipeline, revenue management. · Cross Team Coordination: Drive regular communication, follow up with Business / Function unit, content / action owners. Update the latest information in our internal communication channels. · Cadence Support: Maintain and deliver a cadence of cross-team meetings, coordinate across teams for management update. · Written Communication: Create and format clear, well-written narratives A day in the life · Manage and ensure the timely execution of business operations and the production of high-quality deliverable · Leverage data tools such as Excel, SQL, Tableau and Salesforce.com to manage and optimize sales opportunity · Assist with daily sales reporting using Excel, SQL, Tableau and Salesforce.com. Simplify processes and create clear reports or deliver effective data presentation. · Develop SOPs, workflows, metrics, reports or other analytical tools to maximize productivity · Work relentlessly to improve existing processes and use data driven decision making to make recommendations for systems, process, and business improvements · Demonstrate an entrepreneurial spirit, show excellent judgment, and deliver innovative solutions. Be passionate about high standards and never satisfied with the status quo.

· Data Processing: Validate, correct and consolidate raw data; adjust data format… etc. Support data analysis which covers Forecast, Pipeline and Revenue…etc. · Template and file cleanup / refinement: Refine analysis templates to align with the evolving reporting structure; streamline processes which cover forecast, pipeline, revenue management. · Cross Team Coordination: Drive regular communication, follow up with Business / Function unit, content / action owners. Update the latest information in our internal communication channels. · Cadence Support: Maintain and deliver a cadence of cross-team meetings, coordinate across teams for management update. · Written Communication: Create and format clear, well-written narratives A day in the life · Manage and ensure the timely execution of business operations and the production of high-quality deliverable · Leverage data tools such as Excel, SQL, Tableau and Salesforce.com to manage and optimize sales opportunity · Assist with daily sales reporting using Excel, SQL, Tableau and Salesforce.com. Simplify processes and create clear reports or deliver effective data presentation. · Develop SOPs, workflows, metrics, reports or other analytical tools to maximize productivity · Work relentlessly to improve existing processes and use data driven decision making to make recommendations for systems, process, and business improvements · Demonstrate an entrepreneurial spirit, show excellent judgment, and deliver innovative solutions. Be passionate about high standards and never satisfied with the status quo.

AI-Powered Productivity & Team Upskilling • Design and deploy AI-driven solutions (leveraging GenAI tools like Amazon Quick Suite) to automate routine reporting — daily revenue flashes, weekly summaries, and MBR/QBR preparation — with a target of 20%+ productivity improvement across the team • Build natural language interfaces that allow finance team members to query financial data conversationally, democratizing access to insights and reducing dependency on specialized technical skills • Lead hands-on training and enablement programs to upskill the broader finance team in AI tools, data modeling techniques, and advanced analytics — turning every analyst into a more strategic contributor • Identify workflow bottlenecks and implement AI-powered process optimizations, particularly in approval chains, deal reviews, and cross-functional coordination • Develop forecasting and scenario planning models that anticipate market dynamics, competitive pressures, and customer behavior across China and Hong Kong segments • Build customer concentration risk models and identify strategies to accelerate growth across the mid-tier customer base • Support competitive intelligence efforts with real-time analytical models on competitor pricing and positioning • Build models to measure and improve sales productivity, translating marketing pipeline to revenue with greater efficiency A day in the life As a Finance Data Manager in AWS Sales Finance, no two days look exactly the same — but every day sits at the intersection of finance, data, and AI. You'll start mornings analyzing revenue trends across China and Hong Kong segments, refining forecasting models that help leadership anticipate shifts early. Mid-morning, you're collaborating with sales finance analysts to prototype GenAI-powered reporting workflows — automating manual processes like weekly revenue flashes or building natural language interfaces for conversational data querying. Afternoons may involve joining deal reviews with sales teams, bringing data-driven insights on customer risk and margin analysis to shape multi-million dollar credit structures. You'll also partner with teammates to explore and scale AI tools across the team — not as a formal trainer, but as a hands-on collaborator helping everyone work smarter.

AI-Powered Productivity & Team Upskilling • Design and deploy AI-driven solutions (leveraging GenAI tools like Amazon Quick Suite) to automate routine reporting — daily revenue flashes, weekly summaries, and MBR/QBR preparation — with a target of 20%+ productivity improvement across the team • Build natural language interfaces that allow finance team members to query financial data conversationally, democratizing access to insights and reducing dependency on specialized technical skills • Lead hands-on training and enablement programs to upskill the broader finance team in AI tools, data modeling techniques, and advanced analytics — turning every analyst into a more strategic contributor • Identify workflow bottlenecks and implement AI-powered process optimizations, particularly in approval chains, deal reviews, and cross-functional coordination • Develop forecasting and scenario planning models that anticipate market dynamics, competitive pressures, and customer behavior across China and Hong Kong segments • Build customer concentration risk models and identify strategies to accelerate growth across the mid-tier customer base • Support competitive intelligence efforts with real-time analytical models on competitor pricing and positioning • Build models to measure and improve sales productivity, translating marketing pipeline to revenue with greater efficiency A day in the life As a Finance Data Manager in AWS Sales Finance, no two days look exactly the same — but every day sits at the intersection of finance, data, and AI. You'll start mornings analyzing revenue trends across China and Hong Kong segments, refining forecasting models that help leadership anticipate shifts early. Mid-morning, you're collaborating with sales finance analysts to prototype GenAI-powered reporting workflows — automating manual processes like weekly revenue flashes or building natural language interfaces for conversational data querying. Afternoons may involve joining deal reviews with sales teams, bringing data-driven insights on customer risk and margin analysis to shape multi-million dollar credit structures. You'll also partner with teammates to explore and scale AI tools across the team — not as a formal trainer, but as a hands-on collaborator helping everyone work smarter.