招聘
Come help Amazon create data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives.
As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will lead a team of Business Intelligence Engineers, own reporting, and leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role.
Key job responsibilities
Key job responsibilities:
- Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations
- Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities
- Manage a team of Business Intelligence Engineers. Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value
- Navigate ambiguity to develop analytic solutions and shape work for junior team members
Basic Qualifications
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
Preferred Qualifications
- 4+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
- Experience leading and influencing the BI strategy of your team or organization
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.
总浏览量
0
申请点击数
0
模拟申请者数
0
收藏
0
相似职位

Lead, ERP Business Analyst
Schneider Electric · Bangalore, India

Vice President - Applied AI ML - Compliance Analytics
JPMorgan Chase · Bengaluru, Karnataka, India, IN

Cybersecurity Data Analyst - Director-Cybersecurity Engineering
Morgan Stanley · Bengaluru, Karnataka, India

Lead Business Intelligence Consultant
Wells Fargo · Bengaluru, India

Lead Developer - Oracle Business Intelligence Application
Wipro · Bengaluru, India
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
新闻动态
Amazon vs. Walmart: This Isn't Even Close - The Motley Fool
The Motley Fool
News
·
3d ago
'Kevin' Review: Jason Schwartzman, Aubrey Plaza in Amazon Cat Cartoon - The Hollywood Reporter
The Hollywood Reporter
News
·
3d ago
Amazon's best weekend deals: Apple, Clinique, Yeti and more — save up to 70% - Yahoo
Yahoo
News
·
3d ago
Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results - Gizmodo
Gizmodo
News
·
3d ago