招聘
Amazon Logistics (AMZL) is seeking an experienced candidate to identify, create, develop and integrate innovative solutions and programs that lead to improvements in our last mile delivery network. This position will lead the development and execution of new worldwide transportation initiatives designed to improve overall efficiency and meet the ever-growing demand for last mile capacity. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution.
- Key job responsibilities
- Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics and reporting dashboards
- Partner with operations/business teams to consult, develop and implement KPI's, automated reporting/process solutions, and process improvements to meet business needs.
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
- Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.
- Participate in strategic and tactical planning discussions.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.
Basic Qualifications
- 3+ years of tax, finance or a related analytical field 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
Preferred Qualifications
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
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, TN, Nashville - 66,900.00 - 117,000.00 USD annually
USA, TX, Austin - 74,300.00 - 130,100.00 USD annually
USA, WA, Bellevue - 82,700.00 - 130,100.00 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 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
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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