招聘
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 TM1, Data Warehouse and SQL
- Experience performing ad hoc analysis using advanced Excel
- Experience using data to influence business decisions
- Experience with AI/ML technologies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MI, Detroit - 56,700.00 - 99,300.00 USD annually
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Venture Capitalist L2
0份报告
$154,235
年薪总额
基本工资
$61,694
股票
$77,118
奖金
$15,424
$107,965
$200,506
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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