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Senior Financial Analyst, SCOT Inbound Systems, SCOT- Inbound Systems
Bellevue, Washington, USA
full-timeFinance & AccountingJob Description
About the Team
The Supply Chain Optimization Technology (SCOT) team sits at the core of Amazon's global supply chain — determining what inventory to buy, when to buy it, how much to order, and where to position it to delight customers while meeting Amazon's business objectives. Operating at massive scale across hundreds of product lines and billions of dollars of worldwide inventory, SCOT's fully in-house, automated planning and optimization systems are among the most sophisticated in the world. Finance within SCOT is a high-impact function, partnering directly with AI and machine learning engineers, scientists, product managers, and operations leaders to shape strategy, drive investment decisions, and deliver measurable improvements to Amazon's supply chain economics.
The Role
This is a high-impact senior financial analyst role supporting the Inbound and SCOT organization. In this role, you will provide critical financial analysis and insights on how the network operates, identifying opportunities for improvement and supporting operations, science, and product leaders in driving measurable P&L impact.
You will partner with the SCOT Finance and Business teams to support financial planning, analysis, and reporting activities. You will contribute to systems evaluations, perform detailed financial analyses, and support executive leadership reviews. You will be responsible for financial planning support, financial controllership activities, and developing weekly financial and operational performance metrics. This role offers visibility across Amazon leadership and requires strong analytical and communication skills along with a track record of delivering quality results.
We seek a candidate who is passionate about diving deep with data analysis and comfortable working alongside AI and automation systems that drive billion-dollar decisions in Amazon's inbound space. You should be curious about how algorithms work, willing to interrogate model outputs, and energized by building the metrics and controls that keep automated systems on track. The ability to think critically and analytically, combined with strong problem-solving skills, will be essential for success in this role.
Key job responsibilities
- Conduct deep-dive financial analyses to identify trends, risks, and opportunities across SCOT operations
- Support short-term and long-term financial planning processes and forecasting activities
- Perform financial modeling and scenario analysis to support strategic decision-making
- Conduct rigorous financial reviews of replenishment and placement systems in partnership with science and product teams, translating findings into network design improvements with measurable P&L impact
- Build and maintain metrics and audit mechanisms to evaluate algorithmic decision outcomes, flagging when models underperform and surfacing data-driven recommendations
- Partner with teams driving AI adoption in supply chain planning and operations — quantifying financial impact and evaluating initiative trade-offs
- Leverage AI and automation tools — including GenAI assistants and AI-powered data platforms — to accelerate analysis, improve productivity, and continuously explore new ways to deliver higher-quality insights faster
The Supply Chain Optimization Technology (SCOT) team sits at the core of Amazon's global supply chain — determining what inventory to buy, when to buy it, how much to order, and where to position it to delight customers while meeting Amazon's business objectives. Operating at massive scale across hundreds of product lines and billions of dollars of worldwide inventory, SCOT's fully in-house, automated planning and optimization systems are among the most sophisticated in the world. Finance within SCOT is a high-impact function, partnering directly with AI and machine learning engineers, scientists, product managers, and operations leaders to shape strategy, drive investment decisions, and deliver measurable improvements to Amazon's supply chain economics.
The Role
This is a high-impact senior financial analyst role supporting the Inbound and SCOT organization. In this role, you will provide critical financial analysis and insights on how the network operates, identifying opportunities for improvement and supporting operations, science, and product leaders in driving measurable P&L impact.
You will partner with the SCOT Finance and Business teams to support financial planning, analysis, and reporting activities. You will contribute to systems evaluations, perform detailed financial analyses, and support executive leadership reviews. You will be responsible for financial planning support, financial controllership activities, and developing weekly financial and operational performance metrics. This role offers visibility across Amazon leadership and requires strong analytical and communication skills along with a track record of delivering quality results.
We seek a candidate who is passionate about diving deep with data analysis and comfortable working alongside AI and automation systems that drive billion-dollar decisions in Amazon's inbound space. You should be curious about how algorithms work, willing to interrogate model outputs, and energized by building the metrics and controls that keep automated systems on track. The ability to think critically and analytically, combined with strong problem-solving skills, will be essential for success in this role.
Key job responsibilities
- Conduct deep-dive financial analyses to identify trends, risks, and opportunities across SCOT operations
- Support short-term and long-term financial planning processes and forecasting activities
- Perform financial modeling and scenario analysis to support strategic decision-making
- Conduct rigorous financial reviews of replenishment and placement systems in partnership with science and product teams, translating findings into network design improvements with measurable P&L impact
- Build and maintain metrics and audit mechanisms to evaluate algorithmic decision outcomes, flagging when models underperform and surfacing data-driven recommendations
- Partner with teams driving AI adoption in supply chain planning and operations — quantifying financial impact and evaluating initiative trade-offs
- Leverage AI and automation tools — including GenAI assistants and AI-powered data platforms — to accelerate analysis, improve productivity, and continuously explore new ways to deliver higher-quality insights faster