The Amazon Smart Vehicles (ASV) Finance team is seeking an experienced and highly motivated Financial Analyst to join the team and support core aspects of the Smart Vehicles program. This team owns investment decisions for resourcing, performs forecasting & reporting, drives commercial and deal defines guardrails for negotiation deal terms, and supports financial automation. This role will work closely with product, engineering, and business teams to forecast and report costs. This will include quarterly forecast development & monthly actual reporting against forecast. This role will be at the helm of the annual business plan financials. It will also include ad-hoc and ambiguous projects that drive strategic insight and influence executive decision-making. Examples include understanding and refining financials to support product development, developing and refining highly complex financial models for deal evaluation, developing and externalizing a robust understanding of the commercials around the automotive marketplace where ASV is active. This role requires an individual with excellent analytical abilities, business acumen and strong interpersonal skills. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, and an ability to work in a fast-paced and ever-changing environment. Everyone on the team needs to be entrepreneurial, wear many hats, and work in a highly collaborative environment that's as much start-up as big company. Key job responsibilities- Generate weekly, monthly, and quarterly financial performance reports across global, regional, and country levels- Support cross-functional initiatives with sophisticated financial analysis- Manage competing priorities to complete both ad-hoc and strategic projects- Improve, scale, and simplify finance tools across teams and organizations- Communicate financial insights (both written and verbal) in a clear and concise manner, adapting communication based on intended audience- Create complex financial models to improve P&L forecasts by developing robust analytical frameworks and collaborating with various teams throughout the organization- Leverage Amazon's AI tools to drive operational efficiency. A day in the life. Your day will be a dynamic blend of financial storytelling and strategic partnership. You'll dive deep into data, translating financial information into clear, actionable insights. This role requires strong financial modelling skills, keen attention to detail and the ability to influence at the working level. This role has regular interaction with multiple teams and requires strong communication skills and problem-solving abilities. The successful candidate will have operated in a fast-paced, results-oriented environment and will be able to prioritize multiple projects, identifying high-priority work and solving complex problems that affect strategic decisions. About the team. Amazon Smart Vehicles Finance supports global initiatives for Amazon Smart Vehicles as it drives forward in the evolution of the digital cabin. We are an inclusive and collaborative team that leverages each other's strengths and pushes each other to grow and learn. We build strong relationships with our business partners to fully understand their needs and how we can have an outsized impact on the business. We are owners who constantly seek to deliver best-in-class finance business partnership. Basic Qualifications- 1 years of finance experience- 1 years of applying key financial performance indicators (KPIs) to analyses experience- Bachelor's degree in Finance, Accounting, Business, Economics or a highly analytical field (e.g., Engineering, Math, and Computer Science)- Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills- Experience in corporate finance including budgeting/planning, forecasting and reporting. Preferred Qualifications- Experience in TM 1, Data Warehouse and SQL- Experience performing ad hoc analysis using advanced Excel- Experience using data to influence business decisions- Experience with AI/ ML technologies.