亚马逊Finance Data Manager, AWS SMGS Finance, CMHK

任职要求

基本任职资格
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

优先任职资格
- Master's degree in finance, accounting, b…

工作职责

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.