採用
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
SQL
ETL
Data visualization
Python
R
Team management
The Advertising Trust(AT) Data team is the single source of truth for all data related to the moderation of ads across Amazon.
This role leads a team of Data Engineers, Business Analysts, and Business Intelligence Engineers to help solve problems faced by our customers and provide deep insights in to our data.
Key job responsibilities
· Manage and develop BI team responsible for developing and maintaining high quality data infrastructures, dashboards, and reports
· Collaborate closely with peers in the AT Science, Tech, and Operations teams to identify priorities and implement solutions
· Drive a culture of operational excellence, data quality, and continuous improvement
· Create and manage mechanisms to ensure BI team resources are devoted to solving the most impactful customer needs
· Continually leverage the latest tools and technologies to maximize the teams impact and efficiency
· Grow your team's capabilities through mentorship, training, and career development opportunities
· Provide clear guidance and updates to partners regarding BI team priorities
A day in the life
This role will work regularly with your peers in the Science, Tech, and Operations teams to deeply understand the problems they are facing and identify where there are systemic issues to be solved with ongoing BI solutions.
You will help the team prioritize their body of work based on the most impactful work for the AT organization overall and communicate these priorities to your onsite peers across the organization.
You'll be expected to provide facilitate support for emergent issues as they come up and ensure prompt responses to leadership.
About the team
Customer trust is everything at Amazon. Our Advertising Trust organization develops policies, and builds the systems, which ensure customer trust in advertising. With a growing advertising technology business, and hundreds of thousands of active self-service advertisers across the globe, this organization is vital to ensuring we can scale while maintaining and ensuring strong customer trust. Leveraging AI, we build systemic solutions that ensure advertising adherence to the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries.
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 with SQL
- Experience with ETL
- 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 working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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.
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About 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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Intern
L2 · Revenue Operations L2
0 reports
$163,421
total / year
Base
$65,368
Stock
$81,711
Bonus
$16,342
$114,395
$212,447
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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