채용
필수 스킬
Python
SQL
Excel
Tableau
Do you want to be part of an organization that is developing and launching new business models? If so, Amazon’s Network Engineering & Scheduling Technology (NEST) team is looking for an experienced Transportation Specialist with a strong record of achieving results, to own and drive accurate load scheduling for a quickly growing business segment. We are looking for a leader who is passionate about building new businesses, solving complex problems for our customers, and establishing end-to-end transportation scheduling processes. Amazon transportation encompasses all of the operations that deliver worldwide shipments to and from our fulfillment centers and third-party locations. The NEST team needs exceptionally talented, bright, and driven people to design, develop, and improve our transportation systems.
- Key job responsibilities
- Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus.
- Develop and/or understand performance metrics to assist with driving business results.
- Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
- Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
- Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.
Basic Qualifications
- 1+ years of working with computers and Microsoft Office (including Outlook, Word, and Excel) experience
- High school or equivalent diploma
- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
- Work 40 hours/week, and overtime as required
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Are 18 years of age or older
Preferred Qualifications
- Experience using SQL, Tableau, and/or Python
- Data management & data quality control experience with knowledge pulling and analyzing large sets of data
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, AZ, Tempe - 21.00 - 29.00 USD hourly
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Amazon 소개

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+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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